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Wired reported this week that a 19-year-old working for Elon Musk‘s so-called Department of Government Efficiency (DOGE) was given access to sensitive US government systems even though his past association with cybercrime communities should have precluded him from gaining the necessary security clearances to do so. As today’s story explores, the DOGE teen is a former denizen of ‘The Com,’ an archipelago of Discord and Telegram chat channels that function as a kind of distributed cybercriminal social network for facilitating instant collaboration.
Since President Trump’s second inauguration, Musk’s DOGE team has gained access to a truly staggering amount of personal and sensitive data on American citizens, moving quickly to seize control over databases at the U.S. Treasury, the Office of Personnel Management, the Department of Education, and the Department of Health and Human Resources, among others.
Wired first reported on Feb. 2 that one of the technologists on Musk’s crew is a 19-year-old high school graduate named Edward Coristine, who reportedly goes by the nickname “Big Balls” online. One of the companies Coristine founded, Tesla.Sexy LLC, was set up in 2021, when he would have been around 16 years old.
“Tesla.Sexy LLC controls dozens of web domains, including at least two Russian-registered domains,” Wired reported. “One of those domains, which is still active, offers a service called Helfie, which is an AI bot for Discord servers targeting the Russian market. While the operation of a Russian website would not violate US sanctions preventing Americans doing business with Russian companies, it could potentially be a factor in a security clearance review.”
Mr. Coristine has not responded to requests for comment. In a follow-up story this week, Wired found that someone using a Telegram handle tied to Coristine solicited a DDoS-for-hire service in 2022, and that he worked for a short time at a company that specializes in protecting customers from DDoS attacks.
A profile photo from Coristine’s WhatsApp account.
Internet routing records show that Coristine runs an Internet service provider called Packetware (AS400495). Also known as “DiamondCDN,” Packetware currently hosts tesla[.]sexy and diamondcdn[.]com, among other domains.
DiamondCDN was advertised and claimed by someone who used the nickname “Rivage” on several Com-based Discord channels over the years. A review of chat logs from some of those channels show other members frequently referred to Rivage as “Edward.”
From late 2020 to late 2024, Rivage’s conversations would show up in multiple Com chat servers that are closely monitored by security companies. In November 2022, Rivage could be seen requesting recommendations for a reliable and powerful DDoS-for-hire service.
Rivage made that request in the cybercrime channel “Dstat,” a core Com hub where users could buy and sell attack services. Dstat’s website dstat[.]cc was seized in 2024 as part of “Operation PowerOFF,” an international law enforcement action against DDoS services.
Coristine’s LinkedIn profile said that in 2022 he worked at an anti-DDoS company called Path Networks, which Wired generously described as a “network monitoring firm known for hiring reformed blackhat hackers.” Wired wrote:
“At Path Network, Coristine worked as a systems engineer from April to June of 2022, according to his now-deleted LinkedIn résumé. Path has at times listed as employees Eric Taylor, also known as Cosmo the God, a well-known former cybercriminal and member of the hacker group UGNazis, as well as Matthew Flannery, an Australian convicted hacker whom police allege was a member of the hacker group LulzSec. It’s unclear whether Coristine worked at Path concurrently with those hackers, and WIRED found no evidence that either Coristine or other Path employees engaged in illegal activity while at the company.”
The founder of Path is a young man named Marshal Webb. I wrote about Webb back in 2016, in a story about a DDoS defense company he co-founded called BackConnect Security LLC. On September 20, 2016, KrebsOnSecurity published data showing that the company had a history of hijacking Internet address space that belonged to others.
Less than 24 hours after that story ran, KrebsOnSecurity.com was hit with the biggest DDoS attack the Internet had ever seen at the time. That sustained attack kept this site offline for nearly 4 days.
The other founder of BackConnect Security LLC was Tucker Preston, a Georgia man who pleaded guilty in 2020 to paying a DDoS-for-hire service to launch attacks against others.
The aforementioned Path employee Eric Taylor pleaded guilty in 2017 to charges including an attack on our home in 2013. Taylor was among several men involved in making a false report to my local police department about a supposed hostage situation at our residence in Virginia. In response, a heavily-armed police force surrounded my home and put me in handcuffs at gunpoint before the police realized it was all a dangerous hoax known as “swatting.”
CosmoTheGod rocketed to Internet infamy in 2013 when he and a number of other hackers set up the Web site exposed[dot]su, which “doxed” dozens of public officials and celebrities by publishing the address, Social Security numbers and other personal information on the former First Lady Michelle Obama, the then-director of the FBI and the U.S. attorney general, among others. The group also swatted many of the people they doxed.
Wired noted that Coristine only worked at Path for a few months in 2022, but the story didn’t mention why his tenure was so short. A screenshot shared on the website pathtruths.com includes a snippet of conversations in June 2022 between Path employees discussing Coristine’s firing.
According to that record, Path founder Marshal Webb dismissed Coristine for leaking internal documents to a competitor. Not long after Coristine’s termination, someone leaked an abundance of internal Path documents and conversations. Among other things, those chats revealed that one of Path’s technicians was a Canadian man named Curtis Gervais who was convicted in 2017 of perpetrating dozens of swatting attacks and fake bomb threats — including at least two attempts against our home in 2014.
A snippet of text from an internal Path chat room, wherein members discuss the reason for Coristine’s termination: Allegedly, leaking internal company information. Source: Pathtruths.com.
On May 11, 2024, Rivage posted on a Discord channel for a DDoS protection service that is chiefly marketed to members of The Com. Rivage expressed frustration with his time spent on Com-based communities, suggesting that its profitability had been oversold.
“I don’t think there’s a lot of money to be made in the com,” Rivage lamented. “I’m not buying Heztner [servers] to set up some com VPN.”
Rivage largely stopped posting messages on Com channels after that. Wired reports that Coristine subsequently spent three months last summer working at Neuralink, Elon Musk’s brain implant startup.
The trouble with all this is that even if someone sincerely intends to exit The Com after years of consorting with cybercriminals, they are often still subject to personal attacks, harassment and hacking long after they have left the scene.
That’s because a huge part of Com culture involves harassing, swatting and hacking other members of the community. These internecine attacks are often for financial gain, but just as frequently they are perpetrated by cybercrime groups to exact retribution from or assert dominance over rival gangs.
Experts say it is extremely difficult for former members of violent street gangs to gain a security clearance needed to view sensitive or classified information held by the U.S. government. That’s because ex-gang members are highly susceptible to extortion and coercion from current members of the same gang, and that alone presents an unacceptable security risk for intelligence agencies.
And make no mistake: The Com is the English-language cybercriminal hacking equivalent of a violent street gang. KrebsOnSecurity has published numerous stories detailing how feuds within the community periodically spill over into real-world violence.
When Coristine’s name surfaced in Wired‘s report this week, members of The Com immediately took notice. In the following segment from a February 5, 2025 chat in a Com-affiliated hosting provider, members criticized Rivage’s skills, and discussed harassing his family and notifying authorities about incriminating accusations that may or may not be true.
2025-02-05 16:29:44 UTC vperked#0 they got this nigga on indiatimes man
2025-02-05 16:29:46 UTC alexaloo#0 Their cropping is worse than AI could have done
2025-02-05 16:29:48 UTC hebeatsme#0 bro who is that
2025-02-05 16:29:53 UTC hebeatsme#0 yalla re talking about
2025-02-05 16:29:56 UTC xewdy#0 edward
2025-02-05 16:29:56 UTC .yarrb#0 rivagew
2025-02-05 16:29:57 UTC vperked#0 Rivarge
2025-02-05 16:29:57 UTC xewdy#0 diamondcdm
2025-02-05 16:29:59 UTC vperked#0 i cant spell it
2025-02-05 16:30:00 UTC hebeatsme#0 rivage
2025-02-05 16:30:08 UTC .yarrb#0 yes
2025-02-05 16:30:14 UTC hebeatsme#0 i have him added
2025-02-05 16:30:20 UTC hebeatsme#0 hes on discord still
2025-02-05 16:30:47 UTC .yarrb#0 hes focused on stroking zaddy elon
2025-02-05 16:30:47 UTC vperked#0 https://en.wikipedia.org/wiki/Edward_Coristine
2025-02-05 16:30:50 UTC vperked#0 no fucking way
2025-02-05 16:30:53 UTC vperked#0 they even made a wiki for him
2025-02-05 16:30:55 UTC vperked#0 LOOOL
2025-02-05 16:31:05 UTC hebeatsme#0 no way
2025-02-05 16:31:08 UTC hebeatsme#0 hes not a good dev either
2025-02-05 16:31:14 UTC hebeatsme#0 like????
2025-02-05 16:31:22 UTC hebeatsme#0 has to be fake
2025-02-05 16:31:24 UTC xewdy#0 and theyre saying ts
2025-02-05 16:31:29 UTC xewdy#0 like ok bro
2025-02-05 16:31:51 UTC .yarrb#0 now i wanna know what all the other devs are like…
2025-02-05 16:32:00 UTC vperked#0 “`Coristine used the moniker “bigballs” on LinkedIn and @Edwardbigballer on Twitter, according to The Daily Dot.[“`
2025-02-05 16:32:05 UTC vperked#0 LOL
2025-02-05 16:32:06 UTC hebeatsme#0 lmfaooo
2025-02-05 16:32:07 UTC vperked#0 bro
2025-02-05 16:32:10 UTC hebeatsme#0 bro
2025-02-05 16:32:17 UTC hebeatsme#0 has to be fake right
2025-02-05 16:32:22 UTC .yarrb#0 does it mention Rivage?
2025-02-05 16:32:23 UTC xewdy#0 He previously worked for NeuraLink, a brain computer interface company led by Elon Musk
2025-02-05 16:32:26 UTC xewdy#0 bro what
2025-02-05 16:32:27 UTC alexaloo#0 I think your current occupation gives you a good insight of what probably goes on
2025-02-05 16:32:29 UTC hebeatsme#0 bullshit man
2025-02-05 16:32:33 UTC xewdy#0 this nigga got hella secrets
2025-02-05 16:32:37 UTC hebeatsme#0 rivage couldnt print hello world
2025-02-05 16:32:42 UTC hebeatsme#0 if his life was on the line
2025-02-05 16:32:50 UTC xewdy#0 nigga worked for neuralink
2025-02-05 16:32:54 UTC hebeatsme#0 bullshit
2025-02-05 16:33:06 UTC Nashville Dispatch ##0000 ||@PD Ping||
2025-02-05 16:33:07 UTC hebeatsme#0 must have killed all those test pigs with some bugs
2025-02-05 16:33:24 UTC hebeatsme#0 ur telling me the rivage who failed to start a company
2025-02-05 16:33:28 UTC hebeatsme#0 https://cdn.camp
2025-02-05 16:33:32 UTC hebeatsme#0 who didnt pay for servers
2025-02-05 16:33:34 UTC hebeatsme#0 ?
2025-02-05 16:33:42 UTC hebeatsme#0 was too cheap
2025-02-05 16:33:44 UTC vperked#0 yes
2025-02-05 16:33:50 UTC hebeatsme#0 like??
2025-02-05 16:33:53 UTC hebeatsme#0 it aint adding up
2025-02-05 16:33:56 UTC alexaloo#0 He just needed to find his calling idiot.
2025-02-05 16:33:58 UTC alexaloo#0 He found it.
2025-02-05 16:33:59 UTC hebeatsme#0 bro
2025-02-05 16:34:01 UTC alexaloo#0 Cope in a river dude
2025-02-05 16:34:04 UTC hebeatsme#0 he cant make good money right
2025-02-05 16:34:08 UTC hebeatsme#0 doge is about efficiency
2025-02-05 16:34:11 UTC hebeatsme#0 he should make $1/he
2025-02-05 16:34:15 UTC hebeatsme#0 $1/hr
2025-02-05 16:34:25 UTC hebeatsme#0 and be whipped for better code
2025-02-05 16:34:26 UTC vperked#0 prolly makes more than us
2025-02-05 16:34:35 UTC vperked#0 with his dad too
2025-02-05 16:34:52 UTC hebeatsme#0 time to report him for fraud
2025-02-05 16:34:54 UTC hebeatsme#0 to donald trump
2025-02-05 16:35:04 UTC hebeatsme#0 rivage participated in sim swap hacks in 2018
2025-02-05 16:35:08 UTC hebeatsme#0 put that on his wiki
2025-02-05 16:35:10 UTC hebeatsme#0 thanks
2025-02-05 16:35:15 UTC hebeatsme#0 and in 2021
2025-02-05 16:35:17 UTC hebeatsme#0 thanks
2025-02-05 16:35:19 UTC chainofcommand#0 i dont think they’ll care tbh
Given the speed with which Musk’s DOGE team was allowed access to such critical government databases, it strains credulity that Coristine could have been properly cleared beforehand. After all, he’d recently been dismissed from a job for allegedly leaking internal company information to outsiders.
According to the national security adjudication guidelines (PDF) released by the Director of National Intelligence (DNI), eligibility determinations take into account a person’s stability, trustworthiness, reliability, discretion, character, honesty, judgment, and ability to protect classified information.
The DNI policy further states that “eligibility for covered individuals shall be granted only when facts and circumstances indicate that eligibility is clearly consistent with the national security interests of the United States, and any doubt shall be resolved in favor of national security.”
On Thursday, 25-year-old DOGE staff member Marko Elez resigned after being linked to a deleted social media account that advocated racism and eugenics. Elez resigned after The Wall Street Journal asked the White House about his connection to the account.
“Just for the record, I was racist before it was cool,” the account posted in July. “You could not pay me to marry outside of my ethnicity,” the account wrote on X in September. “Normalize Indian hate,” the account wrote the same month, in reference to a post noting the prevalence of people from India in Silicon Valley.
Elez’s resignation came a day after the Department of Justice agreed to limit the number of DOGE employees who have access to federal payment systems. The DOJ said access would be limited to two people, Elez and Tom Krause, the CEO of a company called Cloud Software Group.
Earlier today, Musk said he planned to rehire Elez after President Trump and Vice President JD Vance reportedly endorsed the idea. Speaking at The White House today, Trump said he wasn’t concerned about the security of personal information and other data accessed by DOGE, adding that he was “very proud of the job that this group of young people” are doing.
A White House official told Reuters on Wednesday that Musk and his engineers have appropriate security clearances and are operating in “full compliance with federal law, appropriate security clearances, and as employees of the relevant agencies, not as outside advisors or entities.”
NPR reports Trump added that his administration’s cost-cutting efforts would soon turn to the Education Department and the Pentagon, “where he suggested without evidence that there could be ‘trillions’ of dollars in wasted spending within the $6.75 trillion the federal government spent in fiscal year 2024.”
GOP leaders in the Republican-controlled House and Senate have largely shrugged about Musk’s ongoing efforts to seize control over federal databases, dismantle agencies mandated by Congress, freeze federal spending on a range of already-appropriated government programs, and threaten workers with layoffs.
Meanwhile, multiple parties have sued to stop DOGE’s activities. ABC News says a federal judge was to rule today on whether DOGE should be blocked from accessing Department of Labor records, following a lawsuit alleging Musk’s team sought to illegally access highly sensitive data, including medical information, from the federal government.
At least 13 state attorneys general say they plan to file a lawsuit to stop DOGE from accessing federal payment systems containing Americans’ sensitive personal information, reports The Associated Press.
Reuters reported Thursday that the U.S. Treasury Department had agreed not to give Musk’s team access to its payment systems while a judge is hearing arguments in a lawsuit by employee unions and retirees alleging Musk illegally searched those records.
Ars Technica writes that The Department of Education (DoE) was sued Friday by a California student association demanding an “immediate stop” to DOGE’s “unlawfully” digging through student loan data to potentially dismantle the DoE.
Two-step verification, two-factor authentication, multi-factor authentication…whatever your social media platform calls it, it’s an excellent way to protect your accounts.
There’s a good chance you’re already using multi-factor verification with your other accounts — for your bank, your finances, your credit card, and any number of things. The way it requires an extra one-time code in addition to your login and password makes life far tougher for hackers.
It’s increasingly common to see nowadays, where all manner of online services only allow access to your accounts after you’ve provided a one-time passcode sent to your email or smartphone. That’s where two-step verification comes in. You get sent a code as part of your usual login process (usually a six-digit number), and then you enter that along with your username and password.
Some online services also offer the option to use an authenticator app, which sends the code to a secure app rather than via email or your smartphone. Authenticator apps work much in the same way, yet they offer three unique features:
Google, Microsoft, and others offer authenticator apps if you want to go that route. You can get a good list of options by checking out the “editor’s picks” at your app store or in trusted tech publications.
Whichever form of authentication you use, always keep that secure code to yourself. It’s yours and yours alone. Anyone who asks for that code, say someone masquerading as a customer service rep, is trying to scam you. With that code, and your username/password combo, they can get into your account.
Passwords and two-step verification work hand-in-hand to keep you safer. Yet not any old password will do. You’ll want a strong, unique password. Here’s how that breaks down:
Now, with strong passwords in place, you can get to setting up multi-factor verification on your social media accounts.
When you set up two-factor authentication on Facebook, you’ll be asked to choose one of three security methods:
And here’s a link to the company’s full walkthrough: https://www.facebook.com/help/148233965247823
When you set up two-factor authentication on Instagram, you’ll be asked to choose one of three security methods: an authentication app, text message, or WhatsApp.
And here’s a link to the company’s full walkthrough: https://help.instagram.com/566810106808145
And here’s a link to the company’s full walkthrough: https://faq.whatsapp.com/1920866721452534
And here’s a link to the company’s full walkthrough: https://support.google.com/accounts/answer/185839?hl=en&co=GENIE.Platform%3DDesktop
1. TapProfileat the bottom of the screen.
2. Tap the Menu button at the top.
3. Tap Settings and Privacy, then Security.
4. Tap 2-step verification and choose at least two verification methods: SMS (text), email, and authenticator app.
5. Tap Turn on to confirm.
And here’s a link to the company’s full walkthrough: https://support.tiktok.com/en/account-and-privacy/personalized-ads-and-data/how-your-phone-number-is-used-on-tiktok
The post How to Protect Your Social Media Passwords with Multi-factor Verification appeared first on McAfee Blog.
The United States today unveiled sanctions and indictments against the alleged proprietor of Joker’s Stash, a now-defunct cybercrime store that peddled tens of millions of payment cards stolen in some of the largest data breaches of the past decade. The government also indicted and sanctioned a top Russian cybercriminal known as Taleon, whose cryptocurrency exchange Cryptex has evolved into one of Russia’s most active money laundering networks.
A 2016 screen shot of the Joker’s Stash homepage. The links have been redacted.
The U.S. Department of Justice (DOJ) today unsealed an indictment against a 38-year-old man from Novosibirsk, Russia for allegedly operating Joker’s Stash, an extremely successful carding shop that came online in late 2014. Joker’s sold cards stolen in a steady drip of breaches at U.S. retailers, including Saks Fifth Avenue, Lord and Taylor, Bebe Stores, Hilton Hotels, Jason’s Deli, Whole Foods, Chipotle, Wawa, Sonic Drive-In, the Hy-Vee supermarket chain, Buca Di Beppo, and Dickey’s BBQ.
The government believes the brains behind Joker’s Stash is Timur Kamilevich Shakhmametov, an individual who is listed in Russian incorporation documents as the owner of Arpa Plus, a Novosibirsk company that makes mobile games.
Early in his career (circa 2000) Shakhmametov was known as “v1pee” and was the founder of the Russian hacker group nerf[.]ru, which periodically published hacking tools and exploits for software vulnerabilities.
The Russian hacker group Nerf as described in a March 2006 article in the Russian hacker magazine xakep.ru.
By 2004, v1pee had adopted the moniker “Vega” on the exclusive Russian language hacking forum Mazafaka, where this user became one of the more reliable vendors of stolen payment cards.
In the years that followed, Vega would cement his reputation as a top carder on other forums, including Verified, DirectConnection, and Carder[.]pro.
Vega also became known as someone who had the inside track on “unlimited cashouts,” a globally coordinated cybercrime scheme in which crooks hack a bank or payment card processor and use cloned cards at cash machines to rapidly withdraw millions of dollars in just a few hours.
“Hi, there is work on d+p, unlimited,” Vega wrote in a private message to another user on Verified in Dec. 2012, referring to “dumps and PINs,” the slang term for stolen debit cards with the corresponding PINs that would allow ATM withdrawals.
This batch of some five million cards put up for sale Sept. 26, 2017 on the now-defunct carding site Joker’s Stash has been tied to a breach at Sonic Drive-In.
Joker’s Stash came online in the wake of several enormous card breaches at retailers like Target and Home Depot, and the resulting glut of inventory had depressed prices for stolen cards. But Joker’s would distinguish itself by catering to high-roller customers — essentially street gangs in the United States that would purchase thousands of stolen payment cards in one go.
Faced with a buyer’s market, Joker’s Stash set themselves apart by focusing on loyalty programs, frequent buyer discounts, money-back guarantees, and just plain good customer service. Big spenders were given access to the most freshly hacked payment cards, and were offered the ability to get free replacement cards if any turned out to be duds.
Joker’s Stash also was unique because it claimed to sell only payment cards that its own hackers had stolen directly from merchants. At the time, card shops typically resold payment cards that were stolen and supplied by many third-party hackers of unknown reliability or reputation.
In January 2021, Joker’s Stash announced it was closing up shop, after European authorities seized a number of servers for the fraud store, and its proprietor came down with the Coronavirus.
A DOJ statement credits the U.S. Secret Service for leading the years-long investigations (the Service’s original mandate was not protecting the president; it was pursuing counterfeiters, and modern-day carders definitely qualify as that). Prosecutors allege Joker’s Stash earned revenues of at least $280 million, but possibly more than $1 billion (the broad range is a consequence of several variables, including the rapid fluctuation in the price of bitcoin and the stolen goods they were peddling).
The proprietors of Joker’s Stash may have sold tens of millions of stolen payment cards, but Taleon is by far the bigger fish in this law enforcement action because his various cryptocurrency and cash exchanges have allegedly helped to move billions of dollars into and out of Russia over the past 20 years.
An indictment unsealed today names Taleon as Sergey Sergeevich Ivanov, 44, of Saint Petersburg, Russia. The government says Ivanov, who likely changed his surname from Omelnitskii at some point, laundered money for Joker’s Stash, among many other cybercrime stores.
In a statement today, the Treasury Department said Ivanov has laundered hundreds of millions of dollars’ worth of virtual currency for ransomware actors, initial access brokers, darknet marketplace vendors, and other criminal actors for approximately the last 20 years.
First appearing on Mazafaka in the early 2000s, Taleon was known on the forums as someone who could reliably move large amounts of physical cash. Sources familiar with the investigation said Taleon’s service emerged as one of the few remaining domestic cash delivery services still operating after Russia invaded Ukraine in Feb. 2022.
Taleon set up his service to facilitate transfers between Moscow, St. Petersburg and financial institutions in the West. Taleon’s private messages on some hacker forums have been leaked over the years and indexed by the cyber intelligence platform Intel 471. Those messages indicate Taleon worked on many of the same ATM cashouts as Vegas, so it’s clear the two had an established business relationship well before Joker’s Stash came into being.
Sometime around 2013, Taleon launched a partnership with a money transfer business called pm2btc[.]me. PM2BTC allowed customers to convert funds from the virtual currency Perfect Money (PM) into bitcoin, and then have the balance (minus a processing fee) available on a physical debit card that could be used at ATMs, for shopping online, or at retail stores.
A screenshot of a website reviewing PM2BTC.
The U.S. government itself set things in motion for Taleon’s nascent cryptocurrency exchange business in 2013 after the DOJ levied money laundering charges against the proprietors of Liberty Reserve, one of the largest virtual currencies in operation at the time. Liberty Reserve was heavily used by cybercriminals of all stripes. The government said the service had more than a million users worldwide, and laundered in excess of $6 billion in suspected criminal proceeds.
In the days following the takedown of Liberty Reserve, KrebsOnSecurity ran a story that examined discussions across multiple top Russian cybercrime forums about where crooks could feel safe parking their stolen funds. The answer involved Bitcoin, but also Taleon’s new service.
Part of the appeal of Taleon’s exchange was that it gave its vetted customers an “application programming interface” or API that made it simple for dodgy online shops selling stolen goods and cybercrime services to accept cryptocurrency deposits from their customers, and to manage payouts to any suppliers and affiliates.
This API is synonymous with a service Taleon and friends operate in the background called UAPS, short for “Universal Anonymous Payment System.” UAPS has gone by several other names including “Pinpays,” and in October 2014 it landed Joker’s Stash as its first big client.
A source with knowledge of the investigation told KrebsOnSecurity that Taleon is a pilot who owns and flies around in his own helicopter.
Ivanov appears to have little to no social media presence, but the 40-year-old woman he lives with in St. Petersburg does, and she has a photo on her Vktontake page that shows the two of them in 2019 flying over Lake Ladoga, a large body of water directly north of St. Petersburg.
Sergey “Taleon” Ivanov (right) in 2019 in his helicopter with the woman he lives with, flying over a lake north of St. Petersburg, Russia.
In late 2015, a major competitor to Joker’s Stash emerged using UAPS for its back-end payments: BriansClub. BriansClub sullies this author’s name, photos and reputation to peddle millions of credit and debit cards stolen from merchants in the United States and around the world.
An ad for BriansClub has been using my name and likeness for years to peddle millions of stolen credit cards.
In 2019, someone hacked BriansClub and relieved the fraud shop of more than 26 million stolen payment cards — an estimated one-third of the 87 million payment card accounts that were on sale across all underground shops at that time. An anonymous source shared that card data with KrebsOnSecurity, which ultimately shared it with a consortium of financial institutions that issued most of the cards.
After that incident, the administrator of BriansClub changed the site’s login page so that it featured a copy of my phone bill, Social Security card, and a link to my full credit report [to this day, random cybercriminals confuse Yours Truly with the proprietor of BriansClub].
Alex Holden is founder of the Milwaukee-based cybersecurity firm Hold Security. Holden has long maintained visibility into cryptocurrency transactions made by BriansClub.
Holden said those records show BriansClub sells tens of thousands of dollars worth of stolen credit cards every day, and that in the last two years alone the BriansClub administrator has removed more than $242 million worth of cryptocurrency revenue from the UAPS platform.
The BriansClub login page, as it looked from late 2019 until recently.
Passive domain name system (DNS) records show that in its early days BriansClub shared a server in Lithuania along with just a handful of other domains, including secure.pinpays[.]com, the crime forum Verified, and a slew of carding shops operating under the banner Rescator.
As KrebsOnSecurity detailed in December 2023, the Rescator shops were directly involved in some of the largest payment card breaches of the past decade. Those include the 2013 breach at Target and the 2014 breach at Home Depot, intrusions that exposed more than 100 million payment card records.
In early 2018, Taleon and the proprietors of UAPS launched a cryptocurrency exchange called Cryptex[.]net that has emerged as a major mover of ill-gotten crypto coins.
Taleon reminds UAPS customers they will enjoy 0% commission and no “know your customer” (KYC) requirements “on our exchange Cryptex.”
Cryptex has been associated with quite a few ransomware transactions, including the largest known ransomware payment to date. In February 2024, a Fortune 50 ransomware victim paid a record $75 million ransom to a Russian cybercrime group that calls themselves the Dark Angels. A source with knowledge of the investigation said an analysis of that payment shows roughly half of it was processed through Cryptex.
That source provided a screen shot of Cryptex’s sending and receiving exposure as viewed by Chainalysis, a company the U.S. government and many cryptocurrency exchanges rely on to flag transactions associated with suspected money laundering, ransomware payouts, or facilitating payments for darknet websites.
Chainalysis finds that Cryptex has received more than $1.6 billion since its inception, and that this amount is roughly equal to its sending exposure (although the total number of outflows is nearly half of the inflows).
The graphic indicates a great deal of money flowing into Cryptex — roughly a quarter of it — is coming from bitcoin ATMs around the world. Experts say most of those ATM inflows to Cryptex are bitcoin ATM cash deposits from customers of carding websites like BriansClub and Jokers Stash.
A screenshot of Chainalysis’s summary of illicit activity on Cryptex since the exchange’s inception in 2018.
The indictments released today do not definitively connect Taleon to Cryptex. However, PM2BTC (which teamed up with Taleon to launch UAPS and Pinpays) and Cryptex have now been sanctioned by the U.S. Department of the Treasury.
Treasury’s Financial Crimes Enforcement Network (FinCEN) levied sanctions today against PM2BTC under a powerful new “Section 9714” authority included in the Combating Russian Money Laundering Act, changes enacted in 2022 to make it easier to target financial entities involved in laundering money for Russia.
Treasury first used this authority last year against Bitzlato, a cryptocurrency exchange operating in Russia that became a money laundering conduit for ransomware attackers and dark market dealers.
An investigation into the corporate entities behind UAPS and Cryptex reveals an organization incorporated in 2012 in Scotland called Orbest Investments LP. Records from the United Kingdom’s business registry show the owners of Orbest Investments are two entities: CS Proxy Solutions CY, and RM Everton Ltd.
Public business records further reveal that CS Proxy Solutions and RM Everton are co-owners of Progate Solutions, a holding company that featured prominently in a June 2017 report from Bellingcat and Transparency International (PDF) on money laundering networks tied to the Kremlin.
“Law enforcement agencies believe that the total amount laundered through this process could be as high as US$80 billion,” the joint report reads. “Although it is not clear where all of this money came from, investigators claim it includes significant amounts of money that were diverted from the Russian treasury and state contracts.”
Their story built on reporting published earlier that year by the Organized Crime and Corruption Project (OCCRP) and Novaya Gazeta, which found that at least US$20.8 billion was secretly moved out of Russia between 2010 and 2014 through a vast money laundering machine comprising over 5,000 legal entities known as “The Laundromat.”
Image: occrp.org
“Using company records, reporters tracked the names of some clients after executives refused to give them out,” the OCCRP report explains. “They found the heavy users of the scheme were rich and powerful Russians who had made their fortunes from dealing with the Russian state.”
Rich Sanders is a blockchain analyst and investigator who advises the law enforcement and intelligence community. Sanders just returned from a three-week sojourn through Ukraine, traveling with Ukrainian soldiers while mapping out dodgy Russian crypto exchanges that are laundering money for narcotics networks operating in the region. Sanders said today’s sanctions by the Treasury Department will likely have an immediate impact on Cryptex and its customers.
“Whenever an entity is sanctioned, the implications on-chain are immense,” Sanders told KrebsOnSecurity. “Regardless of whether an exchange is actually compliant or just virtue signals it, it is the case across the board that exchanges will pay attention to these sanctions.”
“This action shows these payment processors for illicit platforms will get attention eventually,” Sanders continued. “Even if it took way too long in this case, Cryptex knew the majority of their volume was problematic, knew why it was problematic, and did it anyway. And this should be a wake up call for other exchanges that know full well that most of their volume is problematic.”
The U.S. Department of State is offering a reward of up to $10 million each for information leading to the arrests and/or convictions of Shakhmametov and Ivanov. The State announcement says separate rewards of up to $1 million each are being offered for information leading to the identification of other leaders of the Joker’s Stash criminal marketplace (other than Shakhmametov), as well as the identification of other key leaders of the UAPS, PM2BTC, and PinPays transnational criminal groups (other than Ivanov).
Image: U.S. Secret Service.
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The FBI is warning timeshare owners to be wary of a prevalent telemarketing scam involving a violent Mexican drug cartel that tries to trick people into believing someone wants to buy their property. This is the story of a couple who recently lost more than $50,000 to an ongoing timeshare scam that spans at least two dozen phony escrow, title and realty firms.
One of the phony real estate companies trying to scam people out of money over fake offers to buy their timeshares.
One evening in late 2022, someone phoned Mr. & Mrs. Dimitruk, a retired couple from Ontario, Canada and asked whether they’d ever considered selling their timeshare in Florida. The person on the phone referenced their timeshare address and said they had an interested buyer in Mexico. Would they possibly be interested in selling it?
The Dimitruks had purchased the timeshare years ago, but it wasn’t fully paid off — they still owed roughly $5,000 before they could legally sell it. That wouldn’t be an issue for this buyer, the man on the phone assured them.
With a few days, their contact at an escrow company in New York called ecurrencyescrow[.]llc faxed them forms to fill out and send back to start the process of selling their timeshare to the potential buyer, who had offered an amount that was above what the property was likely worth.
After certain forms were signed and faxed, the Dimitruks were asked to send a small wire transfer of more than $3,000 to handle “administrative” and “processing” fees, supposedly so that the sale would not be held up by any bureaucratic red tape down in Mexico.
These document exchanges went on for almost a year, during which time the real estate brokers made additional financial demands, such as tax payments on the sale, and various administrative fees. Mrs. Dimitruk even sent them a $5,000 wire to pay off her remaining balance on the timeshare they thought they were selling.
In a phone interview with KrebsOnSecurity, Mr. Dimitruk said they lost over $50,000.
“They kept calling me after that saying, ‘Hey your money is waiting for you here’,” said William Dimitruk, a 73-year-old retired long-haul truck driver. “They said ‘We’re going to get in trouble if the money isn’t returned to you,’ and gave me a toll-free number to call them at.”
In the last call he had with the scammers, the man on the other end of the line confessed that some bad people had worked for them previously, but that those employees had been fired.
“Near the end of the call he said, ‘You’ve been dealing with some bad people and we fired all those bad guys,'” Dimitruk recalled. “So they were like, yeah it’s all good. You can go ahead and pay us more and we’ll send you your money.”
According to the FBI, there are indeed some very bad people behind these scams. The FBI warns the timeshare fraud schemes have been linked to the Jalisco New Generation drug cartel in Mexico.
In July 2024, the FBI and the Treasury Department’s Financial Crimes Enforcement Network (FinCEN) warned the Jalisco cartel is running boiler room-like call centers that target people who own timeshares:
“Mexico-based [transnational criminal organizations] such as the Jalisco New Generation Cartel are increasingly targeting U.S. owners of timeshares in Mexico through complex and often yearslong telemarketing, impersonation, and advance fee schemes. They use the illicit proceeds to diversify their revenue streams and finance other criminal activities, including the manufacturing and trafficking of illicit fentanyl and other synthetic drugs into the United States.”
A July 2024 CBS News story about these scams notes that U.S. and Mexican officials last year confirmed that as many as eight young workers were confirmed dead after they apparently tried to quit jobs at a call center operated by the Jalisco cartel.
Source: US Department of the Treasury’s Office of Foreign Assets Control.
The phony escrow company the Dimitruks dealt with — ecurrencyescrow[.]llc — is no longer online. But the documents sent by their contact there referenced a few other still-active domains, including realestateassetsllc[.]com
The original registration records of both of these domains reference another domain — datasur[.]host — that is associated with dozens of other real estate and escrow-themed domains going back at least four years. Some of these domains are no longer active, while others have been previously suspended at different hosting providers.
061nyr[.]net
061-newyorkrealty[.]net
1nydevelopersgroupllc[.]com
1oceanrealtyllc[.]com
advancedclosingservicesllc[.]com
americancorporatetitle[.]com
asesorialegalsiglo[.]com
atencion-tributaria.[]com
carolinasctinc[.]net
closingandsettlementservices[.]com
closingandsettlementsllc[.]com
closingsettlementllc[.]com
crefaescrowslimited[.]net
ecurrencyescrow[.]llc
empirerllc[.]com
fiduciarocitibanamex[.]com
fondosmx[.]org
freightescrowcollc[.]com
goldmansachs-investment[.]com
hgvccorp[.]com
infodivisionfinanciera[.]com
internationaladvisorllc[.]com
jadehillrealtyllc[.]com
lewisandassociaterealty[.]com
nyreputable[.]org
privateinvestment.com[.]co
realestateassetsllc[.]com
realestateisinc[.]com
settlementandmanagement[.]com
stllcservices[.]com
stllcservices[.]net
thebluehorizonrealtyinc[.]com
walshrealtyny[.]net
windsorre[.]com
By loading ecurrencyescrowllc[.]com into the Wayback Machine at archive.org, we can see text at the top of the page that reads, “Visit our resource library for videos and tools designed to make managing your escrow disbursements a breeze.”
Searching on that bit of text at publicwww.com shows the same text appears on the website of an escrow company called Escshieldsecurity Network (escshieldsecurity[.]com). This entity claims to have been around since 2009, but the domain itself is less than two years old, and there is no contact information associated with the site. The Pennsylvania Secretary of State also has no record of a business by this name at its stated address.
Incredibly, Escshieldsecurity pitches itself as a solution to timeshare closing scams.
“By 2015, cyber thieves had realized the amount of funds involved and had targeted the real estate, title and settlement industry,” the company’s website states. “As funding became more complex and risky, agents and underwriters had little time or resources to keep up. The industry needed a simple solution that allowed it to keep pace with new funding security needs.”
The domains associated with this scam will often reference legitimate companies and licensed professionals in the real estate and closing businesses, but those real professionals often have no idea they’re being impersonated until someone starts asking around. The truth is, the original reader tip that caused KrebsOnSecurity to investigate this scheme came from one such professional whose name and reputation was being used to scam others.
It is unclear whether the Dimitruks were robbed by people working for the Jalisco cartel, but it is clear that whoever is responsible for managing many of the above-mentioned domains — including the DNS provider datasur[.]host — recently compromised their computer with information-stealing malware.
That’s according to data collected by the breach tracking service Constella Intelligence [Constella is currently an advertiser on KrebsOnSecurity]. Constella found that someone using the email address exposed in the DNS records for datasur[.]host — jyanes1920@gmail.com — also was relieved of credentials for managing most of the domains referenced above at a Mexican hosting provider.
It’s not unusual for victims of such scams to keep mum about their misfortune. Sometimes, it’s shame and embarrassment that prevents victims from filing a report with the local authorities. But in this case, victims who learn they’ve been robbed by a violent drug cartel have even more reason to remain silent.
William Dimitruk said he and his wife haven’t yet filed a police report. But after acknowledging it could help prevent harm to other would-be victims, Mr. Dimitruk said he would consider it.
There is another reason victims of scams like this should notify authorities: Occasionally, the feds will bust up one of these scam operations and seize funds that were stolen from victims. But those investigations can take years, and it can be even more years before the government starts trying to figure out who got scammed and how to remunerate victims. All too often, the real impediment to returning some of those losses is that the feds have no idea who the victims are.
If you are the victim of a timeshare scam like this, please consider filing a report with the FBI’s Internet Crime Complaint Center (IC3), at ic3.gov. Other places where victims may wish to file a complaint:
Federal Trade Commission – https://www.ftccomplaintassistant.gov
International Consumer Protection and Enforcement Network – https://www.econsumer.gov/en
Profeco – Mexican Attorney General – https://consulmex.sre.gob.mx/montreal/index.php/en/foreigners/services-foreigners/318-consumer-protection
In our fast-moving digital world, today’s conversations can take on new meanings years down the line. Then you might find yourself explaining posts that no longer reflect who you are.
This reality makes it crucial to start a conversation in your family about social media archives. Teens and tweens are constantly posting, snapping, tweeting, and commenting every day. According to the latest research, 97% of teens go online daily, with many saying they are “almost constantly” connected.
With so much activity, it’s just a matter of time before some questionable content resurfaces, potentially compromising a job, scholarship, or personal relationship. Old social posts don’t just haunt celebrities; in today’s digital culture, everyone’s online activity is open to scrutiny.
1. Vet your content. Ask yourself some key questions: Is there anything in this post or comment that could hurt me in the future? Does this post defame a specific race, religion, or lifestyle? Is this content contributing to the conversation or just noise?
2. Be Careful with Humor: Not everyone shares your sense of humor. What seems funny today could be viewed differently in the future. Just look at how comedians and public figures are often held accountable for jokes or comments made years ago.
3. Don’t pick at it—purge it. No doubt, people change. You may not be the 20-something hothead who began tweeting or blogging nearly a decade ago, but your archives are still out and say otherwise. In her book, The Life-Changing Magic of Tidying Up, Japanese cleaning consultant Marie Kondo takes tidying to a whole new level, some of which we can apply here. 1) Don’t analyze everything and just pair down — purge. 2) Get rid of anything that doesn’t spark joy for you 3) Don’t ask yourself what you like about a photo or post, ask yourself ‘Why should this stay?’ 4) Keep only the content that makes you happy or inspires you. Chop everything else.
4. Use X’s advanced search. Some of us have tweeted out several novels worth of content. Who has time to go through that? Twitter has advanced search features that will help you quickly find questionable tweets. Just go to https://twitter.com/search-advanced and enter keywords and phrases, along with your user account name. This search will help isolate tweets that could be compromising.
5. Am I being true to who I am? Most tweens and teens are not asking themselves this question, but we can still encourage our kids to engage in this specific self-reflection. Encourage young publishers to think about what message and image they hope to project to go through their archives with that in mind. Encourage them to review everything about their profiles from their bio to the kinds of movies and books they’ve called out, to their Facebook groups. Ask: Is this still who you are? Are these still the interests you’d like to project?
6. Delete immediately:
7. Review likes and post privacy settings. Even the posts of others (that are marked public) that you like or comment on will show up on Google, which means others could judge you guilty by association. It may be time-consuming, but you can clean up your Facebook ‘like’ history in the Activity Log. If you want to share but still limit who can view your posts, McAfee’s Social Privacy Manager helps you adjust your social media privacy settings based on how public or private you want to be online.
8. Google yourself. See what comes up. Be sure to check images, videos, news, and more tabs. You just never know what content will make it into remote circles. If you find something surprising, contact the site host and request they remove the content.
The post Could Your Social Media History Come Back to Bite You? appeared first on McAfee Blog.
For millions of people, it’s not a workday without it — video conferencing. And plenty of business gets done that way, which has made conferencing a target for hackers. That then begs the important question, how secure is video conferencing?
The answer is pretty secure if you’re using a reputable service. Yet you can take further steps to keep hackers and party crashers out of your meetings.
Hackers and party crashers are likely motivated by one of two things: financial gain or mischief.
Given that some meetings involve confidential or sensitive info, someone might have financial motivation to join in, spy on, or record the meeting. Recently, we saw the lengths at least one AI company went to when it spied on a competitor’s video conference call.[i]
And of course, some bad actors want to cause a disruption. As we saw in recent years, they’ll barge right into a meeting and create a ruckus with rude speech and other antics.
Falling somewhere in between, some hackers might try to intrude on a meeting and slip a malware-laden attachment into chat.[ii] For one, that can lead to a major disruption. And in a business context, financial disruption as well.
How do they pull it off? The typical avenues of attack apply. They might use stolen or hijacked accounts. The meeting was inadvertently set to “public,” allowing anyone with a link to join. Otherwise, they might compromise a victim’s device to piggyback their way in.
Use a service with end-to-end encryption.
Put simply, end-to-end encryption provides a solid defense against prying eyes. With it in place, this form of encryption makes it particularly difficult for hackers to tap into the call and the data shared within it. Secure video conferencing should use 256-bit AES GCM encryption for audio and video, and for sharing of screens, whiteboard apps, and the like. On a related note, read the service’s privacy policy and ensure that its privacy, security, and data measures fit your needs.
Make your meetings private and protect them with a password.
Keep the uninvited out. First, setting your meeting to private (invitees only) will help keep things secure. Some apps also provide a notification to the meeting organizer when an invite gets forwarded. Use that feature if it’s available. Also, a password provides another hurdle for a hacker or bad actor to clear. Use a fresh one for each meeting.
Use the waiting room.
Many services put attendees into a waiting room before they enter the meeting proper. Use this feature to control who comes in and out.
Block users from taking control of the screen.
Welcome or unwelcome, you can keep guests from taking over the screen. Select the option to block everyone except the host (you) from screen sharing.
Turn on automatic updates on your conferencing app.
By turning on automatic updates, you’ll get the latest security patches and enhancements for your video conferencing tool as soon as they become available.
Get wise to phishing scams.
Some interlopers make it into meetings by impersonating others. Just as bad actors use phishing emails and texts to steal personal financial info, they’ll use them to steal company credentials as well. Our Phishing Scam Protection Guide can show you how to steer clear of these attacks.
Use online protection software.
Comprehensive online protection software like ours can make for safer calls in several ways. For one, it protects you against malware attacks, such as if a bad actor tries to slip a sketchy download into your meeting. Further, it includes a password manager that creates and stores strong, unique passwords securely. This can help increase the security of your video conferencing account.
This is a new one. AI deepfake technology continues to evolve, we find ourselves at the point where scammers can create AI imposters in real time.
We’ve seen them use this technology in romance scams, where scammers take on entirely new looks and voices on video calls. And we’ve seen at least one group of scammers bilk a company out of $25 million with deepfaked executives on a call.[iii]
Strange as it might sound, this kind of deepfake technology is possible today. And realizing that fact is the first step toward prevention. Next, that calls for extra scrutiny.
Any time-sensitive info or sums of money are involved, get confirmation of the request. Place a phone call to the person after receiving the request to ensure it’s indeed legitimate. Better yet, meet the individual in person if possible. In all, contact them outside the email, message, or call that initially made the request to ensure you’re not dealing with an imposter.
With the right provider and right steps in place, video calls can be quite secure. Use a solution that offers end-to-end encryption, keep your app updated for the latest security measures, and lock down the app’s security settings. Also, recognize that AI has changed the way we look at just about everything online — including people on the other side of the screen. As we’ve seen, AI imposters on calls now fall into the realm of possibility. A costly one at that.
[i] https://www.nytimes.com/2023/08/07/technology/ai-start-ups-competition.html
[ii] https://www.pcmag.com/news/hackers-circulate-malware-by-breaking-into-microsoft-teams-meetings
[iii] https://www.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk/index.html
The post How Secure is Video Conferencing? appeared first on McAfee Blog.
When it comes to protecting your privacy, take a close look at your social media use—because sharing can quickly turn into oversharing.
The term “oversharing” carries several different definitions. Yet in our case here, oversharing means saying more than one should to more people than they should. Consider the audience you have across your social media profiles. Perhaps you have dozens, if not hundreds of friends and followers. All with various degrees of closeness and familiarity. Who among them can you absolutely trust with the information you share?
And you might be sharing more than you think. Posts have a way of saying more than one thing, like:
“This is the pool at the rental home I’m staying at this week. Amazing!” Which also tells everyone, “My home is empty for the next few days.”
“I can’t start my workday without a visit to my favorite coffee shop.” Which also says, “If you ever want to track me down in person, you can find me at this location practically any weekday morning.”
One can quickly point to other examples of oversharing. Unintentional oversharing at that.
A first-day-of-school picture can tell practical strangers which elementary school your children attend, say if the picture includes the school’s reader board in it. A snapshot of you joking around with a co-worker might reveal a glimpse of company information. Maybe because of what’s written on the whiteboard behind the two of you. And in one extreme example, there’s the case of an assault on a pop star. Her attacker tracked her down through her selfie, determining her location through the reflection in her eyes.
The list goes on.
That’s not to say “don’t post.” More accurately, it’s “consider what you’re posting and who gets to see it.” You have control over what you post, and to some degree, who gets to see those posts. That combination is key to your privacy—and the privacy of others too.
1) Be more selective with your settings: Social media platforms like Facebook, Instagram, and others give you the option of making your profile and posts visible to friends only. Choosing this setting keeps the broader internet from seeing what you’re doing, saying, and posting—not to mention your relationships and likes. Taking a “friends only” approach to your social media profiles can help protect your privacy because that gives a possible scammer or stalker much less material to work with. Yet further, some platforms allow you to create sub-groups of friends and followers. With a quick review of your network, you can create a sub-group of your most trusted friends and restrict your posts to them as needed.
2) Say “no” to strangers bearing friend requests: Be critical of the invitations you receive. Out-and-out strangers might be more than just a stranger. They might be a fake account designed to gather information on users for purposes of fraud. There are plenty of fake accounts too. In fact, in Q1 of 2023 alone, Facebook took action on 426 million fake accounts. Reject such requests.
3) Consider what you post: Think about posting those vacation pictures after you get back so people don’t know you’re away when you’re away. Also, consider if your post pinpoints where you are or where you go regularly. Do you want people in your broader network to know that? Closely review the pics you take and see if there’s any revealing information in the background. If so, you can crop it out (think notes on a whiteboard, reflections in a window, or revealing location info). Further, ask anyone you want to include in their post for their permission. In all, consider their privacy too.
While we’re on the topic, you can take a few other steps that can make you more private online. In addition to your social media usage, other steps can help keep more of your private and personal information with you—where it belongs:
Granted, “social” is arguably the opposite of “private.” Using social media involves sharing, by its very definition. Yet any oversharing can lead to privacy issues.
Maybe you want close friends to know what’s going on, but what about that so-so acquaintance deep in your friends list? How well do you really know them? And to what extent do you want them to know exacting details about where you are, where your kids go to school, and so on? Those are questions you ultimately must answer, and ultimately have some control over depending on what you share on social media.
Also important to consider is this: if you post anything on the internet, consider it front-page news. Even with social media privacy settings in place, there’s no guarantee that someone won’t copy your posts or pics and pass them along to others.
The flipside to the topic of social media and privacy is the platform you’re using. It’s no secret that social media companies gather hosts of personal information about their users in exchange for free use of their platforms. Certainly, that’s a topic unto itself. We cover what social media companies know about you in this article here—along with a few steps that can help you limit what they know as well.
When it comes to your privacy and social media, it depends largely on how you use it. How you use various privacy and audience settings offers one way to manage it. The other is you and the information you put out there for others to see.
The post Sharing Isn’t Always Caring: Tips to Help Protect Your Online Privacy appeared first on McAfee Blog.
Microsoft Corp. today issued software updates to plug at least 139 security holes in various flavors of Windows and other Microsoft products. Redmond says attackers are already exploiting at least two of the vulnerabilities in active attacks against Windows users.
The first Microsoft zero-day this month is CVE-2024-38080, a bug in the Windows Hyper-V component that affects Windows 11 and Windows Server 2022 systems. CVE-2024-38080 allows an attacker to increase their account privileges on a Windows machine. Although Microsoft says this flaw is being exploited, it has offered scant details about its exploitation.
The other zero-day is CVE-2024-38112, which is a weakness in MSHTML, the proprietary engine of Microsoft’s Internet Explorer web browser. Kevin Breen, senior director of threat research at Immersive Labs, said exploitation of CVE-2024-38112 likely requires the use of an “attack chain” of exploits or programmatic changes on the target host, a la Microsoft’s description: “Successful exploitation of this vulnerability requires an attacker to take additional actions prior to exploitation to prepare the target environment.”
“Despite the lack of details given in the initial advisory, this vulnerability affects all hosts from Windows Server 2008 R2 onwards, including clients,” Breen said. “Due to active exploitation in the wild this one should be prioritized for patching.”
Satnam Narang, senior staff research engineer at Tenable, called special attention to CVE-2024-38021, a remote code execution flaw in Microsoft Office. Attacks on this weakness would lead to the disclosure of NTLM hashes, which could be leveraged as part of an NTLM relay or “pass the hash” attack, which lets an attacker masquerade as a legitimate user without ever having to log in.
“One of the more successful attack campaigns from 2023 used CVE-2023-23397, an elevation of privilege bug in Microsoft Outlook that could also leak NTLM hashes,” Narang said. “However, CVE-2024-38021 is limited by the fact that the Preview Pane is not an attack vector, which means that exploitation would not occur just by simply previewing the file.”
The security firm Morphisec, credited with reporting CVE-2024-38021 to Microsoft, said it respectfully disagrees with Microsoft’s “important” severity rating, arguing the Office flaw deserves a more dire “critical” rating given how easy it is for attackers to exploit.
“Their assessment differentiates between trusted and untrusted senders, noting that while the vulnerability is zero-click for trusted senders, it requires one click user interaction for untrusted senders,” Morphisec’s Michael Gorelik said in a blog post about their discovery. “This reassessment is crucial to reflect the true risk and ensure adequate attention and resources are allocated for mitigation.”
In last month’s Patch Tuesday, Microsoft fixed a flaw in its Windows WiFi driver that attackers could use to install malicious software just by sending a vulnerable Windows host a specially crafted data packet over a local network. Jason Kikta at Automox said this month’s CVE-2024-38053 — a security weakness in Windows Layer Two Bridge Network — is another local network “ping-of-death” vulnerability that should be a priority for road warriors to patch.
“This requires close access to a target,” Kikta said. “While that precludes a ransomware actor in Russia, it is something that is outside of most current threat models. This type of exploit works in places like shared office environments, hotels, convention centers, and anywhere else where unknown computers might be using the same physical link as you.”
Automox also highlighted three vulnerabilities in Windows Remote Desktop a service that allocates Client Access Licenses (CALs) when a client connects to a remote desktop host (CVE-2024-38077, CVE-2024-38074, and CVE-2024-38076). All three bugs have been assigned a CVSS score of 9.8 (out of 10) and indicate that a malicious packet could trigger the vulnerability.
Tyler Reguly at Fortra noted that today marks the End of Support date for SQL Server 2014, a platform that according to Shodan still has ~110,000 instances publicly available. On top of that, more than a quarter of all vulnerabilities Microsoft fixed this month are in SQL server.
“A lot of companies don’t update quickly, but this may leave them scrambling to update those environments to supported versions of MS-SQL,” Reguly said.
It’s a good idea for Windows end-users to stay current with security updates from Microsoft, which can quickly pile up otherwise. That doesn’t mean you have to install them on Patch Tuesday. Indeed, waiting a day or three before updating is a sane response, given that sometimes updates go awry and usually within a few days Microsoft has fixed any issues with its patches. It’s also smart to back up your data and/or image your Windows drive before applying new updates.
For a more detailed breakdown of the individual flaws addressed by Microsoft today, check out the SANS Internet Storm Center’s list. For those admins responsible for maintaining larger Windows environments, it often pays to keep an eye on Askwoody.com, which frequently points out when specific Microsoft updates are creating problems for a number of users.
As ever, if you experience any problems applying any of these updates, consider dropping a note about it in the comments; chances are decent someone else reading here has experienced the same issue, and maybe even has a solution.
Tool for Fingerprinting HTTP requests of malware. Based on Tshark and written in Python3. Working prototype stage :-)
Its main objective is to provide unique representations (fingerprints) of malware requests, which help in their identification. Unique means here that each fingerprint should be seen only in one particular malware family, yet one family can have multiple fingerprints. Hfinger represents the request in a shorter form than printing the whole request, but still human interpretable.
Hfinger can be used in manual malware analysis but also in sandbox systems or SIEMs. The generated fingerprints are useful for grouping requests, pinpointing requests to particular malware families, identifying different operations of one family, or discovering unknown malicious requests omitted by other security systems but which share fingerprint.
An academic paper accompanies work on this tool, describing, for example, the motivation of design choices, and the evaluation of the tool compared to p0f, FATT, and Mercury.
The basic assumption of this project is that HTTP requests of different malware families are more or less unique, so they can be fingerprinted to provide some sort of identification. Hfinger retains information about the structure and values of some headers to provide means for further analysis. For example, grouping of similar requests - at this moment, it is still a work in progress.
After analysis of malware's HTTP requests and headers, we have identified some parts of requests as being most distinctive. These include: * Request method * Protocol version * Header order * Popular headers' values * Payload length, entropy, and presence of non-ASCII characters
Additionally, some standard features of the request URL were also considered. All these parts were translated into a set of features, described in details here.
The above features are translated into varying length representation, which is the actual fingerprint. Depending on report mode, different features are used to fingerprint requests. More information on these modes is presented below. The feature selection process will be described in the forthcoming academic paper.
Minimum requirements needed before installation: * Python >= 3.3, * Tshark >= 2.2.0.
Installation available from PyPI:
pip install hfinger
Hfinger has been tested on Xubuntu 22.04 LTS with tshark package in version 3.6.2, but should work with older versions like 2.6.10 on Xubuntu 18.04 or 3.2.3 on Xubuntu 20.04.
Please note that as with any PoC, you should run Hfinger in a separated environment, at least with Python virtual environment. Its setup is not covered here, but you can try this tutorial.
After installation, you can call the tool directly from a command line with hfinger or as a Python module with python -m hfinger.
For example:
FreshRSS foo@bar:~$ hfinger -f /tmp/test.pcap
[{"epoch_time": "1614098832.205385000", "ip_src": "127.0.0.1", "ip_dst": "127.0.0.1", "port_src": "53664", "port_dst": "8080", "fingerprint": "2|3|1|php|0.6|PO|1|us-ag,ac,ac-en,ho,co,co-ty,co-le|us-ag:f452d7a9/ac:as-as/ac-en:id/co:Ke-Al/co-ty:te-pl|A|4|1.4"}]
Help can be displayed with short -h or long --help switches:
usage: hfinger [-h] (-f FILE | -d DIR) [-o output_path] [-m {0,1,2,3,4}] [-v]
[-l LOGFILE]
Hfinger - fingerprinting malware HTTP requests stored in pcap files
optional arguments:
-h, --help show this help message and exit
-f FILE, --file FILE Read a single pcap file
-d DIR, --directory DIR
Read pcap files from the directory DIR
-o output_path, --output-path output_path
Path to the output directory
-m {0,1,2,3,4}, --mode {0,1,2,3,4}
Fingerprint report mode.
0 - similar number of collisions and fingerprints as mode 2, but using fewer features,
1 - representation of all designed features, but a little more collisions than modes 0, 2, and 4,
2 - optimal (the default mode),
3 - the lowest number of generated fingerprints, but the highest number of collisions,
4 - the highest fingerprint entropy, but slightly more fingerprints than modes 0-2
-v, --verbose Report information about non-standard values in the request
(e.g., non-ASCII characters, no CRLF tags, values not present in the configuration list).
Without --logfile (-l) will print to the standard error.
-l LOGFILE, --logfile LOGFILE
Output logfile in the verbose mode. Implies -v or --verbose switch.
You must provide a path to a pcap file (-f), or a directory (-d) with pcap files. The output is in JSON format. It will be printed to standard output or to the provided directory (-o) using the name of the source file. For example, output of the command:
hfinger -f example.pcap -o /tmp/pcap
will be saved to:
/tmp/pcap/example.pcap.json
Report mode -m/--mode can be used to change the default report mode by providing an integer in the range 0-4. The modes differ on represented request features or rounding modes. The default mode (2) was chosen by us to represent all features that are usually used during requests' analysis, but it also offers low number of collisions and generated fingerprints. With other modes, you can achieve different goals. For example, in mode 3 you get a lower number of generated fingerprints but a higher chance of a collision between malware families. If you are unsure, you don't have to change anything. More information on report modes is here.
Beginning with version 0.2.1 Hfinger is less verbose. You should use -v/--verbose if you want to receive information about encountered non-standard values of headers, non-ASCII characters in the non-payload part of the request, lack of CRLF tags (\r\n\r\n), and other problems with analyzed requests that are not application errors. When any such issues are encountered in the verbose mode, they will be printed to the standard error output. You can also save the log to a defined location using -l/--log switch (it implies -v/--verbose). The log data will be appended to the log file.
Beginning with version 0.2.0, Hfinger supports importing to other Python applications. To use it in your app simply import hfinger_analyze function from hfinger.analysis and call it with a path to the pcap file and reporting mode. The returned result is a list of dicts with fingerprinting results.
For example:
from hfinger.analysis import hfinger_analyze
pcap_path = "SPECIFY_PCAP_PATH_HERE"
reporting_mode = 4
print(hfinger_analyze(pcap_path, reporting_mode))
Beginning with version 0.2.1 Hfinger uses logging module for logging information about encountered non-standard values of headers, non-ASCII characters in the non-payload part of the request, lack of CRLF tags (\r\n\r\n), and other problems with analyzed requests that are not application errors. Hfinger creates its own logger using name hfinger, but without prior configuration log information in practice is discarded. If you want to receive this log information, before calling hfinger_analyze, you should configure hfinger logger, set log level to logging.INFO, configure log handler up to your needs, add it to the logger. More information is available in the hfinger_analyze function docstring.
A fingerprint is based on features extracted from a request. Usage of particular features from the full list depends on the chosen report mode from a predefined list (more information on report modes is here). The figure below represents the creation of an exemplary fingerprint in the default report mode.
Three parts of the request are analyzed to extract information: URI, headers' structure (including method and protocol version), and payload. Particular features of the fingerprint are separated using | (pipe). The final fingerprint generated for the POST request from the example is:
2|3|1|php|0.6|PO|1|us-ag,ac,ac-en,ho,co,co-ty,co-le|us-ag:f452d7a9/ac:as-as/ac-en:id/co:Ke-Al/co-ty:te-pl|A|4|1.4
The creation of features is described below in the order of appearance in the fingerprint.
Firstly, URI features are extracted: * URI length represented as a logarithm base 10 of the length, rounded to an integer, (in the example URI is 43 characters long, so log10(43)≈2), * number of directories, (in the example there are 3 directories), * average directory length, represented as a logarithm with base 10 of the actual average length of the directory, rounded to an integer, (in the example there are three directories with total length of 20 characters (6+6+8), so log10(20/3)≈1), * extension of the requested file, but only if it is on a list of known extensions in hfinger/configs/extensions.txt, * average value length represented as a logarithm with base 10 of the actual average value length, rounded to one decimal point, (in the example two values have the same length of 4 characters, what is obviously equal to 4 characters, and log10(4)≈0.6).
Secondly, header structure features are analyzed: * request method encoded as first two letters of the method (PO), * protocol version encoded as an integer (1 for version 1.1, 0 for version 1.0, and 9 for version 0.9), * order of the headers, * and popular headers and their values.
To represent order of the headers in the request, each header's name is encoded according to the schema in hfinger/configs/headerslow.json, for example, User-Agent header is encoded as us-ag. Encoded names are separated by ,. If the header name does not start with an upper case letter (or any of its parts when analyzing compound headers such as Accept-Encoding), then encoded representation is prefixed with !. If the header name is not on the list of the known headers, it is hashed using FNV1a hash, and the hash is used as encoding.
When analyzing popular headers, the request is checked if they appear in it. These headers are: * Connection * Accept-Encoding * Content-Encoding * Cache-Control * TE * Accept-Charset * Content-Type * Accept * Accept-Language * User-Agent
When the header is found in the request, its value is checked against a table of typical values to create pairs of header_name_representation:value_representation. The name of the header is encoded according to the schema in hfinger/configs/headerslow.json (as presented before), and the value is encoded according to schema stored in hfinger/configs directory or configs.py file, depending on the header. In the above example Accept is encoded as ac and its value */* as as-as (asterisk-asterisk), giving ac:as-as. The pairs are inserted into fingerprint in order of appearance in the request and are delimited using /. If the header value cannot be found in the encoding table, it is hashed using the FNV1a hash.
If the header value is composed of multiple values, they are tokenized to provide a list of values delimited with ,, for example, Accept: */*, text/* would give ac:as-as,te-as. However, at this point of development, if the header value contains a "quality value" tag (q=), then the whole value is encoded with its FNV1a hash. Finally, values of User-Agent and Accept-Language headers are directly encoded using their FNV1a hashes.
Finally, in the payload features: * presence of non-ASCII characters, represented with the letter N, and with A otherwise, * payload's Shannon entropy, rounded to an integer, * and payload length, represented as a logarithm with base 10 of the actual payload length, rounded to one decimal point.
Hfinger operates in five report modes, which differ in features represented in the fingerprint, thus information extracted from requests. These are (with the number used in the tool configuration): * mode 0 - producing a similar number of collisions and fingerprints as mode 2, but using fewer features, * mode 1 - representing all designed features, but producing a little more collisions than modes 0, 2, and 4, * mode 2 - optimal (the default mode), representing all features which are usually used during requests' analysis, but also offering a low number of collisions and generated fingerprints, * mode 3 - producing the lowest number of generated fingerprints from all modes, but achieving the highest number of collisions, * mode 4 - offering the highest fingerprint entropy, but also generating slightly more fingerprints than modes 0-2.
The modes were chosen in order to optimize Hfinger's capabilities to uniquely identify malware families versus the number of generated fingerprints. Modes 0, 2, and 4 offer a similar number of collisions between malware families, however, mode 4 generates a little more fingerprints than the other two. Mode 2 represents more request features than mode 0 with a comparable number of generated fingerprints and collisions. Mode 1 is the only one representing all designed features, but it increases the number of collisions by almost two times comparing to modes 0, 1, and 4. Mode 3 produces at least two times fewer fingerprints than other modes, but it introduces about nine times more collisions. Description of all designed features is here.
The modes consist of features (in the order of appearance in the fingerprint): * mode 0: * number of directories, * average directory length represented as an integer, * extension of the requested file, * average value length represented as a float, * order of headers, * popular headers and their values, * payload length represented as a float. * mode 1: * URI length represented as an integer, * number of directories, * average directory length represented as an integer, * extension of the requested file, * variable length represented as an integer, * number of variables, * average value length represented as an integer, * request method, * version of protocol, * order of headers, * popular headers and their values, * presence of non-ASCII characters, * payload entropy represented as an integer, * payload length represented as an integer. * mode 2: * URI length represented as an integer, * number of directories, * average directory length represented as an integer, * extension of the requested file, * average value length represented as a float, * request method, * version of protocol, * order of headers, * popular headers and their values, * presence of non-ASCII characters, * payload entropy represented as an integer, * payload length represented as a float. * mode 3: * URI length represented as an integer, * average directory length represented as an integer, * extension of the requested file, * average value length represented as an integer, * order of headers. * mode 4: * URI length represented as a float, * number of directories, * average directory length represented as a float, * extension of the requested file, * variable length represented as a float, * average value length represented as a float, * request method, * version of protocol, * order of headers, * popular headers and their values, * presence of non-ASCII characters, * payload entropy represented as a float, * payload length represented as a float.
Falling in love in the internet age is a whole different ball game to the social-media-free ’70s, ’80s and ’90s. Awkward calls on the home phone, sending cards in the mail, and making mixtapes were all key relationship milestones back in the days of roller skates. But fast forward to the new millennium and dating is a whole different sport.
No longer are teens relying on their friends and family for introductions to new love interests, it’s all doable online thanks to the plethora of available dating apps and social media platforms. So it’s no surprise that research confirms that meeting online has officially displaced the traditional ways romantic partnerships were formed.
But how does it actually work? How do teens really connect online? Is it just about the dating apps? What about Instagram? Don’t they also use messaging apps to meet? And what does ‘benching’ and ‘beta-testing’ mean?
Ah, yes I know it can feel overwhelming but don’t stress – I got you! I’ve put together all the key information you need to know if you have kids who are starting their online dating journey.
When many of us think about online dating, we think about the major dating apps like Tinder and Bumble however that’s actually not where it all happens. In fact, many teens inform me that it really is all about Instagram, Snapchat, and increasingly, TikTok. I am reliably informed that these social media platforms give you a more authentic understanding of someone – great! But, in my opinion, there are potential safety issues with using social media to attract a mate. Particularly, if you have a young, inexperienced teen on your hands.
In order for people to be able to follow you on these platforms (and send you messages), you need to have your profile set to public. So, if you have a young, naïve teen who has their social media accounts set to public to ramp up their love life, then I consider this to be a safety concern. They can receive messages from anyone which is not ideal.
In 2024, chances are your teens will not meet a potential mate in real life (IRL) – it all happens online. But even on the rare chance they do first meet in person, or they eyeball someone they fancy across the school playground, the relationship will develop online. That’s where the magic happens!
So instead of multiple landline telephone calls to friends to ‘suss out’ their crush, they spend multiple hours researching their crush online. They’ll check out and dissect their photos and posts, find all their social media accounts, and then, depending on their level of courage, they may follow all their accounts. Colloquially, this is often referred to as ‘social media stalking’.
Once they’ve built up the courage, teens may start liking the posts of their crush. Some may even go back over old social media posts and photos from several years back to demonstrate their level of interest. This is known as ‘deepliking’. Some teens think this is an effective strategy, others consider this to be off-putting – each to their own!! But the goal here is to put yourself on the radar of your crush.
Now, once the ‘likes’ have gathered some momentum, the teen may decide it’s time to ‘slide into their crush’s DM’s’. Ah – there’s that expression. All it really means is that your teen will send a direct message to their love interest – usually on a social media app such as Instagram or TikTok.
But they may not even need to ‘slide into the DM’s’. I am reliably informed that if you like a few posts of a potential love interest and then, they like a few of yours, you’re flirting and there’s definitely a spark!! The love interest may then just be the one initiating interest.
Now, if there is a spark and the crush has replied, the next phase is messaging – and a lot of it! Potentially 1000’s of messages. I have first-hand experience of paying a telephone bill for someone (no names) who was super smitten with a girl in the days before unlimited data. All I can say is ouch!!!
Now this messaging may take place on a social media app, a messaging app such as WhatsApp, Messenger, or even via text. Or possibly even a combination of them all!! The key here is to keep the messaging going to suss out whether there is a vibe!
But the messaging stage is where it can get messy and confusing. It’s not unusual for teens to be messaging with several potential love interests at once – essentially keeping their options open. Some refer to this as ‘beta-testing’, I would refer to it as disrespectful and probably exhausting – but hey, I’m old school! But this is often a reality for many teens, and it can be quite demoralising to feel like you’re being ‘managed’.
Now, this is a big moment. When your teen and their crush have decided they are exclusive and officially a thing, the next step is to let the world know and make it official. So, they may choose to update their status on their social media platforms to ‘in a relationship’. But if they are after a softer launch, they may simply post a pic of each other, or even together.
Believe it or not, some teens may never actually meet in real life (IRL) but still be in a relationship. If this is the case then it’s more likely that sexting will be part of the relationship. Research shows that 1 in 3 Aussie teens (aged 14 to 17) have some experience with sexting ie sending, receiving, being asked, and asking for nude pics however I think in reality, it is likely more – not everyone answers surveys honestly!
So, yes sexting does happen and while I wish it just didn’t, we can’t put our heads in the sand. So, I encourage all parents to remind their kids that once they send an image they lose control of it, that not all relationships last forever, and that they should never be coerced into doing something they are not comfortable with. Stay tuned for further posts with more sexting tips!
At the risk of being a cynic, chances are your child’s teen relationships will probably not last a lifetime. So, how do you break up when you’re a digital native?
Well, before the break-up phase, ‘benching’ can occur. This happens when one partner no longer wants to meet up with the other in person. It may also be the moment when your teen’s messages are no longer returned – this is called LOR – left on read. Most of us would call this ghosting. But regardless of what you call it, it’s not a nice feeling.
Call me old fashioned but I am a big fan of breaking up with your love in person and my boys know that. Tapering off contact or telling someone that the relationship is over via text is disrespectful, in my opinion.
Helping kids through heartache is tough – I’ve been there!! If your teen is finding life post-relationship hard, why don’t you suggest they delete their social media apps for a week or 2? It’s hard to move on from someone when you are still receiving messages and/or seeing their notifications. It may even be worth unfriending or unfollowing the ex as well.
So, even though the landscape has changed, and the mixtapes have gone, please don’t forget that dating and romance can be super tricky when you are a teen. Not only are you dealing with matters of the heart but in the world’s biggest public forum – the internet. So be kind, gentle, and supportive! And be grateful for the simplicity of the ’70s, ’80s and ’90s.
Alex xx
The post How Teens Date in the Digital Age appeared first on McAfee Blog.
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JA4+ is a suite of network Fingerprinting methods that are easy to use and easy to share. These methods are both human and machine readable to facilitate more effective threat-hunting and analysis. The use-cases for these fingerprints include scanning for threat actors, malware detection, session hijacking prevention, compliance automation, location tracking, DDoS detection, grouping of threat actors, reverse shell detection, and many more.
Please read our blogs for details on how JA4+ works, why it works, and examples of what can be detected/prevented with it:
JA4+ Network Fingerprinting (JA4/S/H/L/X/SSH)
JA4T: TCP Fingerprinting (JA4T/TS/TScan)
To understand how to read JA4+ fingerprints, see Technical Details
This repo includes JA4+ Python, Rust, Zeek and C, as a Wireshark plugin.
JA4/JA4+ support is being added to:
GreyNoise
Hunt
Driftnet
DarkSail
Arkime
GoLang (JA4X)
Suricata
Wireshark
Zeek
nzyme
Netresec's CapLoader
NetworkMiner">Netresec's NetworkMiner
NGINX
F5 BIG-IP
nfdump
ntop's ntopng
ntop's nDPI
Team Cymru
NetQuest
Censys
Exploit.org's Netryx
cloudflare.com/bots/concepts/ja3-ja4-fingerprint/">Cloudflare
fastly
with more to be announced...
| Application | JA4+ Fingerprints |
|---|---|
| Chrome |
JA4=t13d1516h2_8daaf6152771_02713d6af862 (TCP) JA4=q13d0312h3_55b375c5d22e_06cda9e17597 (QUIC) JA4=t13d1517h2_8daaf6152771_b0da82dd1658 (pre-shared key) JA4=t13d1517h2_8daaf6152771_b1ff8ab2d16f (no key) |
| IcedID Malware Dropper | JA4H=ge11cn020000_9ed1ff1f7b03_cd8dafe26982 |
| IcedID Malware |
JA4=t13d201100_2b729b4bf6f3_9e7b989ebec8 JA4S=t120300_c030_5e2616a54c73
|
| Sliver Malware |
JA4=t13d190900_9dc949149365_97f8aa674fd9 JA4S=t130200_1301_a56c5b993250 JA4X=000000000000_4f24da86fad6_bf0f0589fc03 JA4X=000000000000_7c32fa18c13e_bf0f0589fc03
|
| Cobalt Strike |
JA4H=ge11cn060000_4e59edc1297a_4da5efaf0cbd JA4X=2166164053c1_2166164053c1_30d204a01551
|
| SoftEther VPN |
JA4=t13d880900_fcb5b95cb75a_b0d3b4ac2a14 (client) JA4S=t130200_1302_a56c5b993250 JA4X=d55f458d5a6c_d55f458d5a6c_0fc8c171b6ae
|
| Qakbot | JA4X=2bab15409345_af684594efb4_000000000000 |
| Pikabot | JA4X=1a59268f55e5_1a59268f55e5_795797892f9c |
| Darkgate | JA4H=po10nn060000_cdb958d032b0 |
| LummaC2 | JA4H=po11nn050000_d253db9d024b |
| Evilginx | JA4=t13d191000_9dc949149365_e7c285222651 |
| Reverse SSH Shell | JA4SSH=c76s76_c71s59_c0s70 |
| Windows 10 | JA4T=64240_2-1-3-1-1-4_1460_8 |
| Epson Printer | JA4TScan=28960_2-4-8-1-3_1460_3_1-4-8-16 |
For more, see ja4plus-mapping.csv
The mapping file is unlicensed and free to use. Feel free to do a pull request with any JA4+ data you find.
Recommended to have tshark version 4.0.6 or later for full functionality. See: https://pkgs.org/search/?q=tshark
Download the latest JA4 binaries from: Releases.
sudo apt install tshark
./ja4 [options] [pcap]
1) Install Wireshark https://www.wireshark.org/download.html which will install tshark 2) Add tshark to $PATH
ln -s /Applications/Wireshark.app/Contents/MacOS/tshark /usr/local/bin/tshark
./ja4 [options] [pcap]
1) Install Wireshark for Windows from https://www.wireshark.org/download.html which will install tshark.exe
tshark.exe is at the location where wireshark is installed, for example: C:\Program Files\Wireshark\thsark.exe
2) Add the location of tshark to your "PATH" environment variable in Windows.
(System properties > Environment Variables... > Edit Path)
3) Open cmd, navigate the ja4 folder
ja4 [options] [pcap]
An official JA4+ database of fingerprints, associated applications and recommended detection logic is in the process of being built.
In the meantime, see ja4plus-mapping.csv
Feel free to do a pull request with any JA4+ data you find.
JA4+ is a set of simple yet powerful network fingerprints for multiple protocols that are both human and machine readable, facilitating improved threat-hunting and security analysis. If you are unfamiliar with network fingerprinting, I encourage you to read my blogs releasing JA3 here, JARM here, and this excellent blog by Fastly on the State of TLS Fingerprinting which outlines the history of the aforementioned along with their problems. JA4+ brings dedicated support, keeping the methods up-to-date as the industry changes.
All JA4+ fingerprints have an a_b_c format, delimiting the different sections that make up the fingerprint. This allows for hunting and detection utilizing just ab or ac or c only. If one wanted to just do analysis on incoming cookies into their app, they would look at JA4H_c only. This new locality-preserving format facilitates deeper and richer analysis while remaining simple, easy to use, and allowing for extensibility.
For example; GreyNoise is an internet listener that identifies internet scanners and is implementing JA4+ into their product. They have an actor who scans the internet with a constantly changing single TLS cipher. This generates a massive amount of completely different JA3 fingerprints but with JA4, only the b part of the JA4 fingerprint changes, parts a and c remain the same. As such, GreyNoise can track the actor by looking at the JA4_ac fingerprint (joining a+c, dropping b).
Current methods and implementation details:
| Full Name | Short Name | Description | |---|---|---| | JA4 | JA4 | TLS Client Fingerprinting
| JA4Server | JA4S | TLS Server Response / Session Fingerprinting | JA4HTTP | JA4H | HTTP Client Fingerprinting | JA4Latency | JA4L | Latency Measurment / Light Distance | JA4X509 | JA4X | X509 TLS Certificate Fingerprinting | JA4SSH | JA4SSH | SSH Traffic Fingerprinting | JA4TCP | JA4T | TCP Client Fingerprinting | JA4TCPServer | JA4TS | TCP Server Response Fingerprinting | JA4TCPScan | JA4TScan | Active TCP Fingerprint Scanner
The full name or short name can be used interchangeably. Additional JA4+ methods are in the works...
To understand how to read JA4+ fingerprints, see Technical Details
JA4: TLS Client Fingerprinting is open-source, BSD 3-Clause, same as JA3. FoxIO does not have patent claims and is not planning to pursue patent coverage for JA4 TLS Client Fingerprinting. This allows any company or tool currently utilizing JA3 to immediately upgrade to JA4 without delay.
JA4S, JA4L, JA4H, JA4X, JA4SSH, JA4T, JA4TScan and all future additions, (collectively referred to as JA4+) are licensed under the FoxIO License 1.1. This license is permissive for most use cases, including for academic and internal business purposes, but is not permissive for monetization. If, for example, a company would like to use JA4+ internally to help secure their own company, that is permitted. If, for example, a vendor would like to sell JA4+ fingerprinting as part of their product offering, they would need to request an OEM license from us.
All JA4+ methods are patent pending.
JA4+ is a trademark of FoxIO
JA4+ can and is being implemented into open source tools, see the License FAQ for details.
This licensing allows us to provide JA4+ to the world in a way that is open and immediately usable, but also provides us with a way to fund continued support, research into new methods, and the development of the upcoming JA4 Database. We want everyone to have the ability to utilize JA4+ and are happy to work with vendors and open source projects to help make that happen.
ja4plus-mapping.csv is not included in the above software licenses and is thereby a license-free file.
Q: Why are you sorting the ciphers? Doesn't the ordering matter?
A: It does but in our research we've found that applications and libraries choose a unique cipher list more than unique ordering. This also reduces the effectiveness of "cipher stunting," a tactic of randomizing cipher ordering to prevent JA3 detection.
Q: Why are you sorting the extensions?
A: Earlier in 2023, Google updated Chromium browsers to randomize their extension ordering. Much like cipher stunting, this was a tactic to prevent JA3 detection and "make the TLS ecosystem more robust to changes." Google was worried server implementers would assume the Chrome fingerprint would never change and end up building logic around it, which would cause issues whenever Google went to update Chrome.
So I want to make this clear: JA4 fingerprints will change as application TLS libraries are updated, about once a year. Do not assume fingerprints will remain constant in an environment where applications are updated. In any case, sorting the extensions gets around this and adding in Signature Algorithms preserves uniqueness.
Q: Doesn't TLS 1.3 make fingerprinting TLS clients harder?
A: No, it makes it easier! Since TLS 1.3, clients have had a much larger set of extensions and even though TLS1.3 only supports a few ciphers, browsers and applications still support many more.
John Althouse, with feedback from:
Josh Atkins
Jeff Atkinson
Joshua Alexander
W.
Joe Martin
Ben Higgins
Andrew Morris
Chris Ueland
Ben Schofield
Matthias Vallentin
Valeriy Vorotyntsev
Timothy Noel
Gary Lipsky
And engineers working at GreyNoise, Hunt, Google, ExtraHop, F5, Driftnet and others.
Contact John Althouse at john@foxio.io for licensing and questions.
Copyright (c) 2024, FoxIO
I think I could count on my hand the people I know who have NOT had their email hacked. Maybe they found a four-leaf clover when they were kids!
Email hacking is one of the very unfortunate downsides of living in our connected, digital world. And it usually occurs as a result of a data breach – a situation that even the savviest tech experts find themselves in.
In simple terms, a data breach happens when personal information is accessed, disclosed without permission, or lost. Companies, organisations, and government departments of any size can be affected. Data stolen can include customer login details (email addresses and passwords), credit card numbers, identifying IDs of customers e.g. driver’s license numbers and/or passport numbers, confidential customer information, company strategy, or even matters of national security.
Data breaches have made headlines, particularly over the last few years. When the Optus and Medibank data breaches hit the news in 2022 affecting almost 10 million Aussies a piece, we were all shaken. But then when Aussie finance company Latitude, was affected in 2023 with a whopping 14 million people from both Australia and New Zealand affected, it almost felt inevitable that by now, most of us would have been impacted.
But these were the data breaches that grabbed our attention. The reality is that data breaches have been happening for years. In fact, the largest data breach in Australian history actually happened in May 2019 to the online design site Canva which affected 137 million users globally including many Aussies.
So, in short – it can happen to anyone, and the chances are you may have already been affected.
The sole objective of a hacker is to get their hands on your data. And any information that you share in your email account can be very valuable to them. But why do they want your data, you ask? It’s simple really – so they can cash in! Some will keep the juicy stuff for themselves – passwords or logins to government departments or large companies they may want to ’target’ with the aim of extracting valuable data and/or funds. But the more sophisticated ones will sell your details including name, telephone, email address, and credit card details, and cash in on the Dark Web. They often do this in batches. Some experts believe they can get as much as AU$250 for a full set of details including credit cards. So, you can see why they’d be interested in you!
The other reason why hackers will be interested in your email address and password is that many of us re-use these login details across our other online accounts too. So, once they’ve got their hands on your email credentials then they may be able to access your online banking and investment accounts – the possibilities are endless if you are using the same login credentials everywhere. So, you can see why I harp on about using a unique password for every online account!
There is a plethora of statistics on just how big this issue is – all of them concerning.
According to the Australian Institute of Criminology, there were over 16,000 reports of identity theft in 2022.
The Department of Home Affairs and Stay Smart Australia reports that cybercrime costs Australian businesses $29 billion a year with the average business spending around $275,000 to remedy a data breach
And although there has been a slight reduction in Aussies falling for phishing scams in recent years (down from 2.7% in 2020/1 to 2.5% in 2022/3), more Australians are falling victim to card fraud scams with a total of $2.2 billion lost in 2023.
But regardless of which statistic you choose to focus on, we have a big issue on our hands!
If you find yourself a victim of email hacking there are a few very important steps you need to take and the key is to take them FAST!!
This is the very first thing you must do to ensure the hacker can’t get back into your account. It is essential that your new password is complex and totally unrelated to previous passwords. Always use at least 8-10 characters with a variety of upper and lower case and throw in some symbols and numbers. I really like the idea of a crazy, nonsensical sentence – easier to remember and harder to crack! But, better still, get yourself a password manager that will create a password that no human would be capable of creating.
If you find the hacker has locked you out of your account by changing your password, you will need to reset the password by clicking on the ‘Forgot My Password’ link.
This is time-consuming but essential. Ensure you change any other accounts that use the same username and password as your compromised email. Hackers love the fact that many people still use the same logins for multiple accounts, so it is guaranteed they will try your info in other email applications and sites such as PayPal, Amazon, Netflix – you name it!
Once the dust has settled, please review your password strategy for all your online accounts. A best practice is to ensure every online account has its own unique and complex password.
A big part of the hacker’s strategy is to ‘get their claws’ into your address book with the aim of hooking others as well. Send a message to all your email contacts as soon as possible so they know to avoid opening any emails (most likely loaded with malware) that have come from you.
Yes, multi-factor authentication (or 2-factor authentication) adds another step to your login but it also adds another layer of protection. Enabling this will mean that in addition to your password, you will need a special one-time use code to log in. This can be sent to your mobile phone or alternatively, it may be generated via an authenticator app. So worthwhile!
It is not uncommon for hackers to modify your email settings so that a copy of every email you receive is automatically forwarded to them. Not only can they monitor your logins for other sites, but they’ll keep a watchful eye over any particularly juicy personal information. So, check your mail forwarding settings to ensure no unexpected email addresses have been added.
Don’t forget to check your email signature to ensure nothing spammy has been added. Also, ensure your ‘reply to’ email address is actually yours! Hackers have been known to create an email address here that looks similar to yours – when someone replies, it goes straight to their account, not yours!
This is essential also. If you find anything, please ensure it is addressed, and then change your email password again. And if you don’t have it – please invest. Comprehensive security software will provide you with a digital shield for your online life. McAfee+ lets you protect all your devices – including your smartphone – from viruses and malware. It also contains a password manager to help you remember and generate unique passwords for all your accounts.
If you have been hacked several times and your email provider isn’t mitigating the amount of spam you are receiving, then consider starting afresh but don’t delete your email address. Many experts warn against deleting email accounts as most email providers will recycle your old email address. This could mean a hacker could spam every site they can find with a ‘forgot my password’ request and try to impersonate you – identity theft!
Your email is an important part of your online identity so being vigilant and addressing any fallout from hacking is essential for your digital reputation. And even though it may feel that ‘getting hacked’ is inevitable, you can definitely reduce your risk by installing some good quality security software on all your devices. Comprehensive security software such as McAfee+ will alert you when visiting risky websites, warn you when a download looks ‘dodgy’, and will block annoying and dangerous emails with anti-spam technology.
It makes sense really – if you don’t receive the ‘dodgy’ phishing email – you can’t click on it! Smart!
And finally, don’t forget that hackers love social media – particularly those of us who overshare on it. So, before you post details of your adorable new kitten, remember it may just provide the perfect clue for a hacker trying to guess your email password!
Till next time
Alex
The post What to Do If Your Email Is Hacked appeared first on McAfee Blog.
Invisible protocol sniffer for finding vulnerabilities in the network. Designed for pentesters and security engineers.
Above: Invisible network protocol sniffer
Designed for pentesters and security engineers
Author: Magama Bazarov, <caster@exploit.org>
Pseudonym: Caster
Version: 2.6
Codename: Introvert
All information contained in this repository is provided for educational and research purposes only. The author is not responsible for any illegal use of this tool.
It is a specialized network security tool that helps both pentesters and security professionals.
Above is a invisible network sniffer for finding vulnerabilities in network equipment. It is based entirely on network traffic analysis, so it does not make any noise on the air. He's invisible. Completely based on the Scapy library.
Above allows pentesters to automate the process of finding vulnerabilities in network hardware. Discovery protocols, dynamic routing, 802.1Q, ICS Protocols, FHRP, STP, LLMNR/NBT-NS, etc.
Detects up to 27 protocols:
MACSec (802.1X AE)
EAPOL (Checking 802.1X versions)
ARP (Passive ARP, Host Discovery)
CDP (Cisco Discovery Protocol)
DTP (Dynamic Trunking Protocol)
LLDP (Link Layer Discovery Protocol)
802.1Q Tags (VLAN)
S7COMM (Siemens)
OMRON
TACACS+ (Terminal Access Controller Access Control System Plus)
ModbusTCP
STP (Spanning Tree Protocol)
OSPF (Open Shortest Path First)
EIGRP (Enhanced Interior Gateway Routing Protocol)
BGP (Border Gateway Protocol)
VRRP (Virtual Router Redundancy Protocol)
HSRP (Host Standby Redundancy Protocol)
GLBP (Gateway Load Balancing Protocol)
IGMP (Internet Group Management Protocol)
LLMNR (Link Local Multicast Name Resolution)
NBT-NS (NetBIOS Name Service)
MDNS (Multicast DNS)
DHCP (Dynamic Host Configuration Protocol)
DHCPv6 (Dynamic Host Configuration Protocol v6)
ICMPv6 (Internet Control Message Protocol v6)
SSDP (Simple Service Discovery Protocol)
MNDP (MikroTik Neighbor Discovery Protocol)
Above works in two modes:
The tool is very simple in its operation and is driven by arguments:
.pcap as input and looks for protocols in it.pcap file, its name you specify yourselfusage: above.py [-h] [--interface INTERFACE] [--timer TIMER] [--output OUTPUT] [--input INPUT] [--passive-arp]
options:
-h, --help show this help message and exit
--interface INTERFACE
Interface for traffic listening
--timer TIMER Time in seconds to capture packets, if not set capture runs indefinitely
--output OUTPUT File name where the traffic will be recorded
--input INPUT File name of the traffic dump
--passive-arp Passive ARP (Host Discovery)
The information obtained will be useful not only to the pentester, but also to the security engineer, he will know what he needs to pay attention to.
When Above detects a protocol, it outputs the necessary information to indicate the attack vector or security issue:
Impact: What kind of attack can be performed on this protocol;
Tools: What tool can be used to launch an attack;
Technical information: Required information for the pentester, sender MAC/IP addresses, FHRP group IDs, OSPF/EIGRP domains, etc.
Mitigation: Recommendations for fixing the security problems
Source/Destination Addresses: For protocols, Above displays information about the source and destination MAC addresses and IP addresses
You can install Above directly from the Kali Linux repositories
caster@kali:~$ sudo apt update && sudo apt install above
Or...
caster@kali:~$ sudo apt-get install python3-scapy python3-colorama python3-setuptools
caster@kali:~$ git clone https://github.com/casterbyte/Above
caster@kali:~$ cd Above/
caster@kali:~/Above$ sudo python3 setup.py install
# Install python3 first
brew install python3
# Then install required dependencies
sudo pip3 install scapy colorama setuptools
# Clone the repo
git clone https://github.com/casterbyte/Above
cd Above/
sudo python3 setup.py install
Don't forget to deactivate your firewall on macOS!
Above requires root access for sniffing
Above can be run with or without a timer:
caster@kali:~$ sudo above --interface eth0 --timer 120
To stop traffic sniffing, press CTRL + С
WARNING! Above is not designed to work with tunnel interfaces (L3) due to the use of filters for L2 protocols. Tool on tunneled L3 interfaces may not work properly.
Example:
caster@kali:~$ sudo above --interface eth0 --timer 120
-----------------------------------------------------------------------------------------
[+] Start sniffing...
[*] After the protocol is detected - all necessary information about it will be displayed
--------------------------------------------------
[+] Detected SSDP Packet
[*] Attack Impact: Potential for UPnP Device Exploitation
[*] Tools: evil-ssdp
[*] SSDP Source IP: 192.168.0.251
[*] SSDP Source MAC: 02:10:de:64:f2:34
[*] Mitigation: Ensure UPnP is disabled on all devices unless absolutely necessary, monitor UPnP traffic
--------------------------------------------------
[+] Detected MDNS Packet
[*] Attack Impact: MDNS Spoofing, Credentials Interception
[*] Tools: Responder
[*] MDNS Spoofing works specifically against Windows machines
[*] You cannot get NetNTLMv2-SSP from Apple devices
[*] MDNS Speaker IP: fe80::183f:301c:27bd:543
[*] MDNS Speaker MAC: 02:10:de:64:f2:34
[*] Mitigation: Filter MDNS traffic. Be careful with MDNS filtering
--------------------------------------------------
If you need to record the sniffed traffic, use the --output argument
caster@kali:~$ sudo above --interface eth0 --timer 120 --output above.pcap
If you interrupt the tool with CTRL+C, the traffic is still written to the file
If you already have some recorded traffic, you can use the --input argument to look for potential security issues
caster@kali:~$ above --input ospf-md5.cap
Example:
caster@kali:~$ sudo above --input ospf-md5.cap
[+] Analyzing pcap file...
--------------------------------------------------
[+] Detected OSPF Packet
[+] Attack Impact: Subnets Discovery, Blackhole, Evil Twin
[*] Tools: Loki, Scapy, FRRouting
[*] OSPF Area ID: 0.0.0.0
[*] OSPF Neighbor IP: 10.0.0.1
[*] OSPF Neighbor MAC: 00:0c:29:dd:4c:54
[!] Authentication: MD5
[*] Tools for bruteforce: Ettercap, John the Ripper
[*] OSPF Key ID: 1
[*] Mitigation: Enable passive interfaces, use authentication
--------------------------------------------------
[+] Detected OSPF Packet
[+] Attack Impact: Subnets Discovery, Blackhole, Evil Twin
[*] Tools: Loki, Scapy, FRRouting
[*] OSPF Area ID: 0.0.0.0
[*] OSPF Neighbor IP: 192.168.0.2
[*] OSPF Neighbor MAC: 00:0c:29:43:7b:fb
[!] Authentication: MD5
[*] Tools for bruteforce: Ettercap, John the Ripper
[*] OSPF Key ID: 1
[*] Mitigation: Enable passive interfaces, use authentication
The tool can detect hosts without noise in the air by processing ARP frames in passive mode
caster@kali:~$ sudo above --interface eth0 --passive-arp --timer 10
[+] Host discovery using Passive ARP
--------------------------------------------------
[+] Detected ARP Reply
[*] ARP Reply for IP: 192.168.1.88
[*] MAC Address: 00:00:0c:07:ac:c8
--------------------------------------------------
[+] Detected ARP Reply
[*] ARP Reply for IP: 192.168.1.40
[*] MAC Address: 00:0c:29:c5:82:81
--------------------------------------------------
I wrote this tool because of the track "A View From Above (Remix)" by KOAN Sound. This track was everything to me when I was working on this sniffer.
There are now over 5 billion active social media users worldwide, representing 62.3% of the global population. While social networks serve as valuable tools for staying connected with loved ones and documenting life events, the ease of sharing information raises concerns. With a mere few clicks, posts and messages can inadvertently divulge significant personal details, potentially compromising privacy and leaving individuals vulnerable to identity theft. That’s why it’s crucial to make sure you’ve got the know-how to keep your privacy protected while using these platforms.
To empower you in this digital age, we’ve compiled a comprehensive guide featuring ten essential tips to fortify your online security and preserve your privacy on social networks:
Whether you’re a seasoned social media user or just dipping your toes into the digital waters, these strategies will equip you with the knowledge and tools needed to safeguard your online identity effectively. With the added support of McAfee+, you can ensure an extra layer of security to keep your online presence more secure and private through advanced privacy features, 24/7 identity monitoring and alerts, and real-time protection against viruses, hackers, and risky links.
The post How to Protect Yourself on Social Networks appeared first on McAfee Blog.
It used to be the case that only businesses used virtual private networks (VPNs) to connect securely to the internet and keep their private data safe. But these days, with the rapid growth of online threats and privacy concerns, even casual internet users should seriously consider using a VPN. Nearly 30% of people now use VPNs for personal reasons, and that number is only growing as more people learn about how VPNs offer an effective way to safeguard online privacy, enhance security, and protect against various cyber threats.
If you are not familiar with this technology, a VPN essentially allows you to send and receive data across a public network as if it were a private network that encrypts, or scrambles, your information so others cannot read it. Let’s take a look at the top 3 reasons why a VPN could come in handy for you.
Now that you know why having a personal VPN is so useful, here are a few tips to help you choose the right product for you:
The post Why You Need a Personal VPN appeared first on McAfee Blog.
Espionage is a network packet sniffer that intercepts large amounts of data being passed through an interface. The tool allows users to to run normal and verbose traffic analysis that shows a live feed of traffic, revealing packet direction, protocols, flags, etc. Espionage can also spoof ARP so, all data sent by the target gets redirected through the attacker (MiTM). Espionage supports IPv4, TCP/UDP, ICMP, and HTTP. Espionag e was written in Python 3.8 but it also supports version 3.6. This is the first version of the tool so please contact the developer if you want to help contribute and add more to Espionage. Note: This is not a Scapy wrapper, scapylib only assists with HTTP requests and ARP.
1: git clone https://www.github.com/josh0xA/Espionage.git
2: cd Espionage
3: sudo python3 -m pip install -r requirments.txt
4: sudo python3 espionage.py --help
sudo python3 espionage.py --normal --iface wlan0 -f capture_output.pcapwlan0 with whatever your network interface is.sudo python3 espionage.py --verbose --iface wlan0 -f capture_output.pcapsudo python3 espionage.py --normal --iface wlan0sudo python3 espionage.py --verbose --httpraw --iface wlan0sudo python3 espionage.py --target <target-ip-address> --iface wlan0sudo python3 espionage.py --iface wlan0 --onlyhttpsudo python3 espionage.py --iface wlan0 --onlyhttpsecuresudo python3 espionage.py --iface wlan0 --urlonlyusage: espionage.py [-h] [--version] [-n] [-v] [-url] [-o] [-ohs] [-hr] [-f FILENAME] -i IFACE
[-t TARGET]
optional arguments:
-h, --help show this help message and exit
--version returns the packet sniffers version.
-n, --normal executes a cleaner interception, less sophisticated.
-v, --verbose (recommended) executes a more in-depth packet interception/sniff.
-url, --urlonly only sniffs visited urls using http/https.
-o, --onlyhttp sniffs only tcp/http data, returns urls visited.
-ohs, --onlyhttpsecure
sniffs only https data, (port 443).
-hr, --httpraw displays raw packet data (byte order) recieved or sent on port 80.
(Recommended) arguments for data output (.pcap):
-f FILENAME, --filename FILENAME
name of file to store the output (make extension '.pcap').
(Required) arguments required for execution:
-i IFACE, --iface IFACE
specify network interface (ie. wlan0, eth0, wlan1, etc.)
(ARP Spoofing) required arguments in-order to use the ARP Spoofing utility:
-t TARGET, --target TARGET
A simple medium writeup can be found here:
Click Here For The Official Medium Article
The developer of this program, Josh Schiavone, written the following code for educational and ethical purposes only. The data sniffed/intercepted is not to be used for malicous intent. Josh Schiavone is not responsible or liable for misuse of this penetration testing tool. May God bless you all.
MIT License
Copyright (c) 2024 Josh Schiavone
