I'm going to be honest — I wasn't planning to talk about VaporVault this week. But then the 16 billion credential story dropped, and a few people reached out asking if I'd seen it. And I kept thinking about this little device sitting on my desk that I built about six months ago, mostly out of frustration, mostly at 3am. And I figured — yeah, this is probably worth bringing back up. Not because VaporVault solves the breach. It doesn't. Nothing does. But it does solve the speci

Let me be direct with you: this one is real, and it's not a drill. In June 2025, cybersecurity researchers at Cybernews uncovered 30 separate databases sitting on unsecured cloud servers — a total of 16 billion exposed login credentials. We're talking usernames, emails, and plaintext passwords, organized by website URL and ready for immediate use. Apple. Google. Facebook. VPNs. Developer portals. Government services. The footprint is so wide that the researchers couldn't name

On Sunday, May 10th — Mother's Day, of all days — the Debian project quietly dropped an announcement that should be making headlines across every security operations center, every forensic lab, and every threat intelligence team paying attention. They made it official: Debian is going 100% reproducible. As in, every single package in the main repository. Not aspirationally. Not as a roadmap item. As policy, effective immediately. The exact quote from the release team is worth

In December I wrote about the moment before the quantum acceleration — the glide phase, the pre-click hum, the sense that all the pieces were seating themselves. The tone was optimistic. New Legos on the table. The universe as a construction set. Five months later, the click isn't just closer. It has a specific, uncomfortable target: the encryption protecting everything you do online. and the timeline just collapsed. Three Papers in Three Months In December, "Q-Day" — the the

There's a story going around right now that the Trump administration is reversing course on AI — that after spending a year tearing down Biden-era oversight, the White House is quietly rebuilding it. The framing is irresistible: political hypocrisy, a made-for-TV U-turn, the deregulators becoming the regulators. But that framing misses the more important story. What's actually happening isn't a flip-flop. It's a collision — between the speed at which AI is developing and the

There's a 732-byte Python script floating around the internet right now that can give any unprivileged user full root access on virtually every Linux machine that's been updated since 2017. No race conditions. No kernel-specific offsets. No compiled payloads. Just run it, get root. This is CVE-2026-31431 — nicknamed CopyFail — and it's already on CISA's Known Exploited Vulnerabilities list and confirmed active in the wild by CrowdStrike. The story of how it was found might be

275 million users. 9,000 schools. One breach. That's the scale of what just happened to Canvas — the learning management platform built by Instructure. Student records, messages, user data — potentially exposed across nearly every major university and K-12 district in the country. And here's the part nobody wants to say out loud: this was predictable. We've spent the last three years racing to connect every platform, every tool, every AI feature to centralized identity system

Last week Google quietly updated the post-quantum cryptography clock in a way that most security leaders haven't fully processed yet. Their announcement wasn't framed as a warning. It wasn't a white paper with a scary title. It was a technical update — the kind of thing that lands in an engineering blog and gets picked up by specialist press before it reaches the boardroom. But the business implication is straightforward: the timeline for quantum-capable computers to threaten

I wrote about this last year. Not in an academic paper. Not in a think piece with seventeen citations. In a blog post about CrossFit for your brain, a client who cried, and the guy who watched two YouTube videos on crypto and now offers unsolicited wealth advice. The point was simple: AI is the first tool in history that lets you be wrong without shame. And that is an incredible gift — if you use it right. But there is a dark side to that same feature, and a new paper out of

There is a certain kind of irony that only the AI era could produce. Yesterday, an engineer named Kevin Naughton Jr. posted one of the more remarkable confessions in recent tech history. As the engineer responsible for shipping the latest dev/claude-code npm package, he wanted to improve the debugging experience for his team. Noble goal. Standard practice. So he included source maps in the release. If you are not a developer, here is what that means: source maps are essential

INCIDENT — Published March 31, 2026. Details still emerging. I've spent over thirty years in cybersecurity. I've watched a lot of attacks unfold. What happened today with Axios may be the most technically sophisticated supply chain attack ever executed against the open source ecosystem. What Is Axios and Why Should You Care? Axios is the HTTP client library that lets JavaScript applications talk to the internet. Over 83 million downloads a week. 174,000 projects depend on it

The FCC just added foreign-produced consumer routers to its Covered List — meaning new models can no longer be marketed or sold in the United States without a national security exemption. The official language is measured. The implications are not. FCC Chair Brendan Carr cited a supply chain vulnerability that could "disrupt the U.S. economy, critical infrastructure, and national defense" and a "severe cybersecurity risk" that could be immediately weaponized against American

There is a battle playing out at the center of the agent world right now. On one side: Anthropic and OpenAI, two companies that spent most of 2025 learning a bitter lesson. Shipping fast does not mean organizations actually adopt. On the other side: Nvidia, which just launched NemoClaw. Embedded inside that launch is a philosophy that is quietly more interesting than the product itself. NemoClaw is built on engineering principles that are fifty years old. And that is not a cr

I was reading a recent NewsNation article about investigators using what they described as a “signal sniffer” mounted to a helicopter in the search for Nancy Guthrie. The idea, according to the report, was to try to detect emissions from her pacemaker. And my brain did what it always does. It started wandering. Not in a conspiracy way. Not in a “I’ve cracked the case” way. Just in a technical, curious, “has anyone had this conversation?” kind of way. Because here’s the thing

Let’s stop dancing around it.... For the last couple of weeks, I’ve been watching this open-source agent ecosystem do what open source always does when something powerful lands in its lap: it goes feral. ClaudeBot, Maltbook, autonomous negotiation, agents coordinating, people duct-taping workflows together and seeing what breaks. And most of the conversation has been about autonomy. Is this safe? Is this dangerous? Is this the gray goo phase? That’s interesting. It’s not the

The Ant Hill Just Got Jet Fuel So here’s what happened: I’m halfway through my day, probably over-caffeinated, and I realize— wait, hold up, this isn’t just some new tech cycle, is it? No. This right here—what’s happening in the open source AI world with agentic stuff— this is the threshold moment. And I don’t mean “exciting new feature drop” threshold. I mean TCP/IP level, this-will-be-invisible-and-everywhere-soon threshold. I’m telling you, it’s one of those “stare-off-i

This Is What the Middle Always Looks Like There’s a phase every transformative technology goes through that makes people deeply uncomfortable — especially people seeing it up close for the first time. It’s the phase where the foundational work is done, the guardrails come off, and the thing gets dropped into the open world. Not polished. Not secured. Not fully understood. Just working enough to be dangerous. That’s where we are right now with agentic AI. What you’re seeing w

We keep looking for the wrong monster. Whenever AI risk comes up, the conversation immediately drifts toward science fiction — sentience, rebellion, Skynet moments where the machine “wakes up” and decides humanity is inefficient. It’s dramatic, it’s familiar, and it conveniently pushes the danger into an abstract future. That’s not what’s happening. The real risk with AI is not that it becomes conscious. It’s that we are handing powerful systems real authority in real environ

Cracking a Windows domain admin password used to be the sort of thing that required a rack of GPUs, a questionable website, and a small fortune in hardware. Now? A $600 laptop and a free set of rainbow tables from Google’s Mandiant division will do the job in under 12 hours. And the kicker? This vulnerability isn’t new. It’s been sitting in plain sight since 1999 . The Ghost of NTLMv1 At the core of this mess is NTLMv1 — an authentication protocol Microsoft introduced in 1993

Sony just hit a wall. The root encryption keys for the PlayStation 5 — the hardware-level “master keys” that decide what the console trusts — have leaked. That means hackers now have access to the PS5’s BootROM , the lowest layer of its security system. This isn’t a normal software exploit. It’s not something Sony can patch with an update next week. These keys are literally baked into the silicon. They’re part of the chip. And once they’re out, they’re out. What That Actuall