Ivanti is warning that a new security flaw impacting Endpoint Manager Mobile (EPMM) has been explored in limited attacks in the wild.
The high-severity vulnerability, CVE-2026-6973 (CVSS score: 7.2), is a case of improper input validation affecting EPMM before versions 12.6.1.1, 12.7.0.1, and 12.8.0.1.
It allows "a remotely authenticated user with administrative access to achieve remote code
Cybersecurity researchers have disclosed details of a new credential theft framework dubbed PCPJack that targets exposed cloud infrastructure and ousts any artifacts linked to TeamPCP from the environments.
"The toolset harvests credentials from cloud, container, developer, productivity, and financial services, then exfiltrates the data through attacker-controlled infrastructure while attempting
It’s World Password Day, and there’s really no better way to celebrate than with news that a majority of supposedly secure password hashes can be cracked with a single GPU in less than an hour, some in less than a minute. Using a dataset of more than 231 million unique passwords sourced from dark web leaks - including 38 million added since its previous study - and hashing them with MD5, researchers at security firm Kaspersky found that, using a single Nvidia RTX 5090 graphics card, 60 percent of passwords could be cracked in less than an hour, and a full 48 percent in under 60 seconds. Sure, that’s not exactly your run-of-the-mill desktop graphics processor given its price, but it highlights an important point: It takes surprisingly little to crack the average password hash. Aspiring cybercriminals don’t even really need their own 5090, Kaspersky notes, as they can easily rent one from a cloud provider and crack hashes for a few bucks. The bottom line is that passwords protected only by fast hashing algorithms such as MD5 are no longer safe if attackers obtain them in a data breach. “One hour is all an attacker needs to crack three out of every five passwords they’ve found in a leak,” Kaspersky noted. Much of the reason password hashes have become so easy to crack is password predictability. Per Kaspersky, its analysis of more than 200 million exposed passwords revealed common patterns that attackers can use to optimize cracking algorithms, significantly reducing the time needed to guess the character combinations that grant access to target accounts. In case you’re wondering whether there’s a trend to compare this to, Kaspersky ran a prior iteration of this study in 2024, and bad news: Passwords are actually a bit easier to crack in 2026 than they were a couple of years ago. Not by much, mind you - only a few percent - but it’s still a move in the wrong direction. “Attackers owe this boost in speed to graphics processors, which grow more powerful every year,” Kaspersky explained. “Unfortunately, passwords remain as weak as ever.” How about a World Let’s-Stop-Relying-On Passwords Day? News of the death of the password has, unfortunately, been greatly exaggerated in the past couple of decades, yet most of us still rely on them multiple times a day. It likely won’t surprise El Reg readers to learn that us vultures are inundated with pitches for events like World Password Day, and most of them received this year had the same takeaway: We really need to get a move on with ditching passwords, or, at the very least, rethinking our security paradigms. Chris Gunner, a CISO-for-hire at managed service provider giant Thrive, told us in emailed comments that there’s no reason to ditch passwords entirely, but they need to be just one part of a broader identity-based security strategy. “Even a strong password can be undermined if the wider identity and access environment is not properly managed,” Gunner said. Passwords should be paired with a second factor, preferably biometric, said Gunner, because it’s the most difficult for hackers to bypass. “MFA controls should then be joined by identity governance and endpoint protection so gaps between systems are reduced,” Gunner added, recommending that a broader zero trust model be established as well, restricting lateral movement possibilities via a compromised account. Senior IEEE member and University of Nottingham cybersecurity professor Steven Furnell said that World Password Day messaging shouldn’t stop at telling people to improve their personal security posture either. Passwords aren’t going anywhere for a long while, Furnell explained in an email, and inconsistent adoption of new security technologies will mean users will be left at risk as certain providers fail to adapt. “Many sites and services still don’t offer passkey support, so users will find themselves with a mixed login experience,” Furnell explained. “While some might argue that it’s the user’s responsibility to protect themselves properly, they need to know how to do it.” The professor noted that, in many cases, users aren’t told how to create a good modern password, and in other cases, sites simply don’t enforce adequate password requirements to make passwords secure, to the degree that they can be made so. “This World Password Day, the main message ought not to be to the users, who often have no choice but to use passwords anyway, but to the sites and providers that are requiring them to do so,” Furnell told us. You heard the man - time to upgrade that user security stack. No matter how safe you think those passwords might be, with their complex requirements and proper hashed storage, it probably won’t take too long for someone to break in, making it an organizational responsibility to ensure there’s yet another locked door behind the first one. ®
The hardest part of cybersecurity isn't the technology, it’s the people.
Every major breach you’ve read about lately usually starts the same way: one employee, one clever email, and one "Patient Zero" infection.
In 2026, hackers are using AI to make these "first clicks" nearly impossible to spot. If a single laptop gets compromised on your watch, do you have a plan to stop it from taking down
Palo Alto Networks has disclosed that threat actors may have attempted to unsuccessfully exploit a recently disclosed critical security flaw as early as April 9, 2026.
The vulnerability in question is CVE-2026-0300 (CVSS score: 9.3/8.7), a buffer overflow vulnerability in the User-ID Authentication Portal service of Palo Alto Networks PAN-OS software that could allow an unauthenticated attacker
I’ve been working on an experiment in AI-driven application security called SentinAI. I’m a backend engineer in fintech, and I spent part of my recent leave trying to explore a simple question:
Most SAST tools are basically metal detectors: they’re great at catching obvious patterns like unsafe functions or missing headers.
But they struggle with the stuff that actually matters in real systems:
IDORs
authorization drift
multi-tenant isolation issues
broken middleware assumptions
cross-file logic flaws
Attackers don’t think in patterns.
They think in systems.
So I built something experimental to explore that gap.
🧠 The Architecture (3-Agent Loop)
Instead of a single LLM prompt (which tends to hallucinate easily), SentinAI uses a structured multi-agent flow:
1. The Architect
Maps the system:
routes
auth boundaries
data flows
trust assumptions
2. The Adversary 🥷
Tries to break it:
generates exploit paths
builds step-by-step attack chains
simulates real-world abuse scenarios
3. The Guardian 🛡️
Validates everything:
checks exploits against actual code context
verifies whether attacks are truly possible
filters hallucinated or low-confidence outputs
Anything below a confidence threshold (~40%) is dropped.
The goal is not to “find everything.”
It’s to only surface things that are actually exploitable.
💡 What surprised me
A few things stood out while building this:
Most real vulnerabilities only appear at interaction points between files, not within a single file
LLMs are surprisingly good at generating attack paths, but unreliable without a validation layer
The hardest problem wasn’t detection — it was noise control
Without a “Guardian” layer, the system becomes mostly hallucinated security reports very quickly
🔒 Privacy / Local-first design
Coming from fintech, sending proprietary code to external APIs is not acceptable.
So SentinAI is built to run:
fully local via Ollama
or inside a private VPC
with no code leaving the environment
🌐 Web3 expansion (experimental)
I expanded it beyond Web2 into smart contract security:
Solana: missing signer checks, PDA misuse
EVM: reentrancy, tx.origin issues
Move: resource lifecycle bugs
Total coverage: ~45 vulnerability patterns.
🚧 Open questions (honest part)
I’m still actively figuring out:
how to reduce hallucinated exploit paths at scale
whether multi-agent reasoning actually holds up on large, messy codebases
where the boundary is between “useful security reasoning” and “LLM storytelling”
whether this can realistically outperform hybrid static analysis + human review
One thing I’ve already noticed:
That’s still an open problem.
🧪 Why I’m sharing this
This started as a “leave experiment” and somehow got ~200+ organic npm installs without any promotion.
I cleaned it up and open-sourced it mainly to:
get feedback from people deeper in security engineering
understand where this approach fails in real-world systems
see if “AI attacker reasoning” is actually useful in practice
According to McAfee’s 2026 State of the Scamiverse report, Americans now spend 114 hours a year trying to figure out what’s real and what’s fake online. That’s nearly three full workweeks lost to second-guessing messages, alerts, and links.
And when scams do succeed, they move quickly. The typical scam unfolds in about 38 minutes, leaving little room for hesitation.
That creates a gap: People want to check before they act, but the tools haven’t always met them in that moment.
ChatGPT + McAfee is designed to close that gap, bringing scam detection directly to a platform people are already using to ask questions and make decisions.
And it’s available to anyone. You don’t have to be a McAfee subscriber.
This isn’t just detection. It’s guidance in the exact moment you’re deciding what to do.
Instead of guessing, you can paste a message or drop in a screenshot and get a clear explanation of what’s risky, and what to do next, powered by McAfee’s threat intelligence.
What You Can Do with ChatGPT + McAfee
With this integration, checking something suspicious becomes as simple as asking a question.
Paste a message. Drop in a link. Upload a screenshot.
McAfee analyzes it and explains what’s going on clearly and in context.
Here’s how it works:
Feature
What it does
How it protects you
Link safety check
Paste a suspicious URL and get a reputational analysis based on McAfee threat intelligence
Scam links are often designed to look legitimate. A quick check helps avoid phishing and malware
Message analysis
Submit texts, emails, or social messages for evaluation
Many scams now rely on urgency and tone. Analysis helps surface subtle red flags
Screenshot uploads
Upload screenshots of messages, emails, or posts for review
Scams don’t always come as clean text. This makes it easier to check what you’re actually seeing
Clear explanations
Get a breakdown of why something is flagged as risky or safe
Not just a warning—an explanation that helps you recognize patterns next time
Guided next steps
Receive recommendations on what to do next
Helps prevent escalation, especially in moments of uncertainty
It’s a quick, accessible way to get answers in the moment. But it’s just one part of a broader system designed to protect you more comprehensively.
Behind the scenes, ChatGPT + McAfee is powered by the same intelligence that fuels McAfee’s broader scam protection ecosystem.
When you submit something for review:
Links are checked against known threat signals
Messages are analyzed for scam patterns and language cues
Results are translated into clear, human-readable explanations
The goal isn’t just to flag risk. It’s to help you understand it.
A New Way to Stay Ahead of Scams
Scams aren’t slowing down. If anything, they’re becoming more convincing, more personalized, and harder to detect.
That’s where ChatGPT + McAfee comes in. But this is only one part of a much bigger system designed to protect you before, during, and after a scam attempt.
With McAfee+ Advanced, multiple layers work together so you’re not left figuring it out after the damage is done:
Identity Monitoring alerts you if your personal info shows up where it should not, so you can act fast
Bad week.
Turns out the easiest way to get hacked in 2026 is still the same old garbage: shady packages, fake apps, forgotten DNS junk, scam ads, and stolen logins getting dumped into Discord channels like it’s normal. Some of these attack chains don’t even feel sophisticated anymore. More like some tired guy with a Telegram account and too much free time. The worst part is how often this stuff
Companies like Lovable, Base44, Replit, and Netlify use AI to let anyone build a web app in seconds—and in thousands of cases, spill highly sensitive data onto the public internet.
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