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In May 2025, the U.S. government sanctioned a Chinese national for operating a cloud provider linked to the majority of virtual currency investment scam websites reported to the FBI. But a new report finds the accused continues to operate a slew of established accounts at American tech companies — including Facebook, Github, PayPal and Twitter/X.
On May 29, the U.S. Department of the Treasury announced economic sanctions against Funnull Technology Inc., a Philippines-based company alleged to provide infrastructure for hundreds of thousands of websites involved in virtual currency investment scams known as “pig butchering.” In January 2025, KrebsOnSecurity detailed how Funnull was designed as a content delivery network that catered to foreign cybercriminals seeking to route their traffic through U.S.-based cloud providers.
The Treasury also sanctioned Funnull’s alleged operator, a 40-year-old Chinese national named Liu “Steve” Lizhi. The government says Funnull directly facilitated financial schemes resulting in more than $200 million in financial losses by Americans, and that the company’s operations were linked to the majority of pig butchering scams reported to the FBI.
It is generally illegal for U.S. companies or individuals to transact with people sanctioned by the Treasury. However, as Mr. Lizhi’s case makes clear, just because someone is sanctioned doesn’t necessarily mean big tech companies are going to suspend their online accounts.
The government says Lizhi was born November 13, 1984, and used the nicknames “XXL4” and “Nice Lizhi.” Nevertheless, Steve Liu’s 17-year-old account on LinkedIn (in the name “Liulizhi”) had hundreds of followers (Lizhi’s LinkedIn profile helpfully confirms his birthday) until quite recently: The account was deleted this morning, just hours after KrebsOnSecurity sought comment from LinkedIn.
Mr. Lizhi’s LinkedIn account was suspended sometime in the last 24 hours, after KrebsOnSecurity sought comment from LinkedIn.
In an emailed response, a LinkedIn spokesperson said the company’s “Prohibited countries policy” states that LinkedIn “does not sell, license, support or otherwise make available its Premium accounts or other paid products and services to individuals and companies sanctioned by the U.S. government.” LinkedIn declined to say whether the profile in question was a premium or free account.
Mr. Lizhi also maintains a working PayPal account under the name Liu Lizhi and username “@nicelizhi,” another nickname listed in the Treasury sanctions. A 15-year-old Twitter/X account named “Lizhi” that links to Mr. Lizhi’s personal domain remains active, although it has few followers and hasn’t posted in years.
These accounts and many others were flagged by the security firm Silent Push, which has been tracking Funnull’s operations for the past year and calling out U.S. cloud providers like Amazon and Microsoft for failing to more quickly sever ties with the company.
Liu Lizhi’s PayPal account.
In a report released today, Silent Push found Lizhi still operates numerous Facebook accounts and groups, including a private Facebook account under the name Liu Lizhi. Another Facebook account clearly connected to Lizhi is a tourism page for Ganzhou, China called “EnjoyGanzhou” that was named in the Treasury Department sanctions.
“This guy is the technical administrator for the infrastructure that is hosting a majority of scams targeting people in the United States, and hundreds of millions have been lost based on the websites he’s been hosting,” said Zach Edwards, senior threat researcher at Silent Push. “It’s crazy that the vast majority of big tech companies haven’t done anything to cut ties with this guy.”
The FBI says it received nearly 150,000 complaints last year involving digital assets and $9.3 billion in losses — a 66 percent increase from the previous year. Investment scams were the top crypto-related crimes reported, with $5.8 billion in losses.
In a statement, a Meta spokesperson said the company continuously takes steps to meet its legal obligations, but that sanctions laws are complex and varied. They explained that sanctions are often targeted in nature and don’t always prohibit people from having a presence on its platform. Nevertheless, Meta confirmed it had removed the account, unpublished Pages, and removed Groups and events associated with the user for violating its policies.
Attempts to reach Mr. Lizhi via his primary email addresses at Hotmail and Gmail bounced as undeliverable. Likewise, his 14-year-old YouTube channel appears to have been taken down recently.
However, anyone interested in viewing or using Mr. Lizhi’s 146 computer code repositories will have no problem finding GitHub accounts for him, including one registered under the NiceLizhi and XXL4 nicknames mentioned in the Treasury sanctions.
One of multiple GitHub profiles used by Liu “Steve” Lizhi, who uses the nickname XXL4 (a moniker listed in the Treasury sanctions for Mr. Lizhi).
Mr. Lizhi also operates a GitHub page for an open source e-commerce platform called NexaMerchant, which advertises itself as a payment gateway working with numerous American financial institutions. Interestingly, this profile’s “followers” page shows several other accounts that appear to be Mr. Lizhi’s. All of the account’s followers are tagged as “suspended,” even though that suspended message does not display when one visits those individual profiles.
In response to questions, GitHub said it has a process in place to identify when users and customers are Specially Designated Nationals or other denied or blocked parties, but that it locks those accounts instead of removing them. According to its policy, GitHub takes care that users and customers aren’t impacted beyond what is required by law.
All of the follower accounts for the XXL4 GitHub account appear to be Mr. Lizhi’s, and have been suspended by GitHub, but their code is still accessible.
“This includes keeping public repositories, including those for open source projects, available and accessible to support personal communications involving developers in sanctioned regions,” the policy states. “This also means GitHub will advocate for developers in sanctioned regions to enjoy greater access to the platform and full access to the global open source community.”
Edwards said it’s great that GitHub has a process for handling sanctioned accounts, but that the process doesn’t seem to communicate risk in a transparent way, noting that the only indicator on the locked accounts is the message, “This repository has been archived by the owner. It is not read-only.”
“It’s an odd message that doesn’t communicate, ‘This is a sanctioned entity, don’t fork this code or use it in a production environment’,” Edwards said.
Mark Rasch is a former federal cybercrime prosecutor who now serves as counsel for the New York City based security consulting firm Unit 221B. Rasch said when Treasury’s Office of Foreign Assets Control (OFAC) sanctions a person or entity, it then becomes illegal for businesses or organizations to transact with the sanctioned party.
Rasch said financial institutions have very mature systems for severing accounts tied to people who become subject to OFAC sanctions, but that tech companies may be far less proactive — particularly with free accounts.
“Banks have established ways of checking [U.S. government sanctions lists] for sanctioned entities, but tech companies don’t necessarily do a good job with that, especially for services that you can just click and sign up for,” Rasch said. “It’s potentially a risk and liability for the tech companies involved, but only to the extent OFAC is willing to enforce it.”
Liu Lizhi operates numerous Facebook accounts and groups, including this one for an entity specified in the OFAC sanctions: The “Enjoy Ganzhou” tourism page for Ganzhou, China. Image: Silent Push.
In July 2024, Funnull purchased the domain polyfill[.]io, the longtime home of a legitimate open source project that allowed websites to ensure that devices using legacy browsers could still render content in newer formats. After the Polyfill domain changed hands, at least 384,000 websites were caught in a supply-chain attack that redirected visitors to malicious sites. According to the Treasury, Funnull used the code to redirect people to scam websites and online gambling sites, some of which were linked to Chinese criminal money laundering operations.
The U.S. government says Funnull provides domain names for websites on its purchased IP addresses, using domain generation algorithms (DGAs) — programs that generate large numbers of similar but unique names for websites — and that it sells web design templates to cybercriminals.
“These services not only make it easier for cybercriminals to impersonate trusted brands when creating scam websites, but also allow them to quickly change to different domain names and IP addresses when legitimate providers attempt to take the websites down,” reads a Treasury statement.
Meanwhile, Funnull appears to be morphing nearly all aspects of its business in the wake of the sanctions, Edwards said.
“Whereas before they might have used 60 DGA domains to hide and bounce their traffic, we’re seeing far more now,” he said. “They’re trying to make their infrastructure harder to track and more complicated, so for now they’re not going away but more just changing what they’re doing. And a lot more organizations should be holding their feet to the fire.”
Update, 2:48 PM ET: Added response from Meta, which confirmed it has closed the accounts and groups connected to Mr. Lizhi.
Update, July 7, 6:56 p.m. ET: In a written statement, PayPal said it continually works to combat and prevent the illicit use of its services.
“We devote significant resources globally to financial crime compliance, and we proactively refer cases to and assist law enforcement officials around the world in their efforts to identify, investigate and stop illegal activity,” the statement reads.
Howdy! My name is Harrison Richardson, or rs0n (arson) when I want to feel cooler than I really am. The code in this repository started as a small collection of scripts to help automate many of the common Bug Bounty hunting processes I found myself repeating. Over time, I built a simple web application with a MongoDB connection to manage my findings and identify valuable data points. After 5 years of Bug Bounty hunting, both part-time and full-time, I'm finally ready to package this collection of tools into a proper framework.
The Ars0n Framework is designed to provide aspiring Application Security Engineers with all the tools they need to leverage Bug Bounty hunting as a means to learn valuable, real-world AppSec concepts and make 💰 doing it! My goal is to lower the barrier of entry for Bug Bounty hunting by providing easy-to-use automation tools in combination with educational content and how-to guides for a wide range of Web-based and Cloud-based vulnerabilities. In combination with my YouTube content, this framework will help aspiring Application Security Engineers to quickly and easily understand real-world security concepts that directly translate to a high paying career in Cyber Security.
In addition to using this tool for Bug Bounty Hunting, aspiring engineers can also use this Github Repository as a canvas to practice collaborating with other developers! This tool was inspired by Metasploit and designed to be modular in a similar way. Each Script (Ex: wildfire.py or slowburn.py) is basically an algorithm that runs the Modules (Ex: fire-starter.py or fire-scanner.py) in a specific patter for a desired result. Because of this design, the community is free to build new Scripts to solve a specific use-case or Modules to expand the results of these Scripts. By learning the code in this framework and using Github to contribute your own code, aspiring engineers will continue to learn real-world skills that can be applied on the first day of a Security Engineer I position.
My hope is that this modular framework will act as a canvas to help share what I've learned over my career to the next generation of Security Engineers! Trust me, we need all the help we can get!!
Paste this code block into a clean installation of Kali Linux 2023.4 to download, install, and run the latest stable Alpha version of the framework:
FreshRSS 
sudo apt update && sudo apt-get update
sudo apt -y upgrade && sudo apt-get -y upgrade
wget https://github.com/R-s0n/ars0n-framework/releases/download/v0.0.2-alpha/ars0n-framework-v0.0.2-alpha.tar.gz
tar -xzvf ars0n-framework-v0.0.2-alpha.tar.gz
rm ars0n-framework-v0.0.2-alpha.tar.gz
cd ars0n-framework
./install.sh
wget https://github.com/R-s0n/ars0n-framework/releases/download/v0.0.2-alpha/ars0n-framework-v0.0.2-alpha.tar.gz
tar -xzvf ars0n-framework-v0.0.2-alpha.tar.gz
rm ars0n-framework-v0.0.2-alpha.tar.gz
The Ars0n Framework includes a script that installs all the necessary tools, packages, etc. that are needed to run the framework on a clean installation of Kali Linux 2023.4.
Please note that the only supported installation of this framework is on a clean installation of Kali Linux 2023.3. If you choose to try and run the framework outside of a clean Kali install, I will not be able to help troubleshoot if you have any issues.
./install.sh
This video shows exactly what to expect from a successful installation.
If you are using an ARM Processor, you will need to add the --arm flag to all Install/Run scripts
./install.sh --arm
You will be prompted to enter various API keys and tokens when the installation begins. Entering these is not required to run the core functionality of the framework. If you do not enter these API keys and tokens at the time of installation, simply hit enter at each of the prompts. The keys can be added later to the ~/.keys directory. More information about how to add these keys manually can be found in the Frequently Asked Questions section of this README.
Once the installation is complete, you will be given the option to run the application by entering Y. If you choose not the run the application immediately, or if you need to run the application after a reboot, simply navigate to the root directly and run the run.sh bash script.
./run.sh
If you are using an ARM Processor, you will need to add the --arm flag to all Install/Run scripts
./run.sh --arm
The Ars0n Framework's Core Modules are used to determine the basic scanning logic. Each script is designed to support a specific recon methodology based on what the user is trying to accomplish.
At this time, the Wildfire script is the most widely used Core Module in the Ars0n Framework. The purpose of this module is to allow the user to scan multiple targets that allow for testing on any subdomain discovered by the researcher.
How it works:
Most Wildfire scans take between 8 and 48 hours to complete against a single domain if all Sub-Modules are being run. Variations in this timing can be caused by a number of factors, including the target application and the machine running the framework.
Also, please note that most data will not show in the GUI until the scan has completed. It's best to try and run the scan overnight or over a weekend, depending on the number of domains being scanned, and return once the scan has complete to move from Recon to Enumeration.
Running Wildfire:
Wildfire can be run from the GUI using the Wildfire button on the dashboard. Once clicked, the front-end will use the checkboxes on the screen to determine what flags should be passed to the scanner.
Please note that running scans from the GUI still has a few bugs and edge cases that haven't been sorted out. If you have any issues, you can simply run the scan form the CLI.
All Core Modules for The Ars0n Framework are stored in the /toolkit directory. Simply navigate to the directory and run wildfire.py with the necessary flags. At least one Sub-Module flag must be provided.
python3 wildfire.py --start --cloud --scan
Unlike the Wildfire module, which requires the user to identify target domains to scan, the Slowburn module does that work for you. By communicating with APIs for various bug bounty hunting platforms, this script will identify all domains that allow for testing on any discovered subdomain. Once the data has been populated, Slowburn will randomly choose one domain at a time to scan in the same way Wildfire does.
Please note that the Slowburn module is still in development and is not considered part of the stable alpha release. There will likely be bugs and edge cases encountered by the user.
In order for Slowburn to identify targets to scan, it must first be initialized. This initialization step collects the necessary data from various API's and deposits them into a JSON file stored locally. Once this initialization step is complete, Slowburn will automatically begin selecting and scanning one target at a time.
To initalize Slowburn, simply run the following command:
python3 slowburn.py --initialize
Once the data has been collected, it is up to the user whether they want to re-initialize the tool upon the next scan.
Remember that the scope and targets on public bug bounty programs can change frequently. If you choose to run Slowburn without initializing the data, you may be scanning domains that are no longer in scope for the program. It is strongly recommended that Slowburn be re-initialized each time before running.
If you choose not to re-initialize the target data, you can run Slowburn using the previously collected data with the following command:
python3 slowburn.py
The Ars0n Framework's Sub-Modules are designed to be leveraged by the Core Modules to divide the Recon & Enumeration phases into specific tasks. The data collected in each Sub-Module is used by the others to expand your picture of the target's attack surface.
Fire-Starter is the first step to performing recon against a target domain. The goal of this script is to collect a wealth of information about the attack surface of your target. Once collected, this data will be used by all other Sub-Modules to help the user identify a specific URL that is potentially vulnerable.
Fire-Starter works by running a series of open-source tools to enumerate hidden subdomains, DNS records, and the ASN's to identify where those external entries are hosted. Currently, Fire-Starter works by chaining together the following widely used open-source tools:
These tools cover a wide range of techniques to identify hidden subdomains, including web scraping, brute force, and crawling to identify links and JavaScript URLs.
Once the scan is complete, the Dashboard will be updated and available to the user.
Most Sub-Modules in The Ars0n Framework requre the data collected from the Fire-Starter module to work. With this in mind, Fire-Starter must be included in the first scan against a target for any usable data to be collected.
Coming soon...
Fire-Scanner uses the results of Fire-Starter and Fire-Cloud to perform Wide-Band Scanning against all subdomains and cloud services that have been discovered from previous scans.
At this stage of development, this script leverages Nuclei almost exclusively for all scanning. Instead of simply running the tool, Fire-Scanner breaks the scan down into specific collections of Nuclei Templates and scans them one by one. This strategy helps ensure the scans are stable and produce consistent results, removes any unnecessary or unsafe scan checks, and produces actionable results.
The vast majority of issues installing and/or running the Ars0n Framework are caused by not installing the tool on a clean installation of Kali Linux.
It is important to remember that, at its core, the Ars0n Framework is a collection of automation scripts designed to run existing open-source tools. Each of these tools have their own ways of operating and can experience unexpected behavior if conflicts emerge with any existing service/tool running on the user's system. This complexity is the reason why running The Ars0n Framework should only be run on a clean installation of Kali Linux.
Another very common issue users experience is caused by MongoDB not successfully installing and/or running on their machine. The most common manifestation of this issue is the user is unable to add an initial FQDN and simply sees a broken GUI. If this occurs, please ensure that your machine has the necessary system requirements to run MongoDB. Unfortunately, there is no current solution if you run into this issue.
Coming soon...
Demo • Installation • Feature • Credits
A tool for dumping place details from Google Maps such as phone numbers, emails, websites, and reviews.How to run ?
> git clone https://github.com/tegal1337/mapsdumper
> cd mapsdumper
> npm install
> node index.js| Feature | Status |
|---|---|
| Get Adress | Ok |
| Get Phone Number | Ok |
| Get Website | Ok |
| Get Reviews | Ok |
| Get Review date | Ok |
| Get Star Count per Review | Ok |
