Cybersecurity in the Age of Instant Software - Schneier on Security
AI is rapidly changing how software is written, deployed, and used. Trends point to a future where AIs can write custom software quickly and easily: “instant software.” Taken to an extreme, it might become easier for a user to have an AI write an application on demand—a spreadsheet, for example—and delete it when you’re done using it than to buy one commercially. Future systems could include a mix: both traditional long-term software and ephemeral instant software that is constantly being written, deployed, modified, and deleted. AI is changing cybersecurity as well. In particular, AI systems are getting better at finding and patching vulnerabilities in code. This has implications for both attackers and defenders, depending on the ways this and related technologies improve...
CERT-EU: European Commission hack exposes data of 30 EU entities
The European Union's Cybersecurity Service (CERT-EU) has attributed the European Commission cloud hack to the TeamPCP threat group, saying the resulting breach exposed the data of at least 29 other Union entities.
axios Compromised on npm - Malicious Versions Drop Remote Access Trojan - StepSecurity
Hijacked maintainer account used to publish poisoned axios releases including 1.14.1 and 0.30.4. The attacker injected a hidden dependency that drops a cross platform RAT. We are actively investigating and will update this post with a full technical analysis.
It's Not Just What Agents Can Do...It's When They Can Do It!
Agents don't just perform actions; they execute plans where the safety of each step depends on what has already happened. That makes sequencing an authorization problem. This post explores how policy, delegation data, and multi-signature approval can govern the order in which agents receive authority, not just the scope of it.
Cross-domain delegation requires more than transferring a credential. In a society of agents, policies define boundaries, promises communicate intent derived from those policies, credentials carry delegated authority, and reputation allows trust to emerge through repeated interactions.
The LiteLLM Supply Chain Attack: A Complete Technical Breakdown | The CyberSec Guru
An in-depth investigative report on the March 2026 LiteLLM supply chain attack. Discover how the Trivy GitHub Actions hack led to a massive PyPI compromise
Compromised telnyx on PyPI: WAV Steganography and Credential Theft
Analysis of malicious telnyx 4.87.1 and 4.87.2 on PyPI — a package with over 1 million monthly downloads: injected code uses WAV audio steganography to deliver payloads that steal credentials and establish persistence. Attributed to TeamPCP.
Agentic AI Threat Modeling Framework: MAESTRO | CSA
MAESTRO (Multi-Agent Environment, Security, Threat, Risk, & Outcome) is a novel threat modeling framework for Agentic AI. Assess risks across the AI lifecycle.
Cryptography is a funny thing. Supposedly, if you do the right kind of maths to a message, you can send it off to somebody else, and as long as they’re the only one that knows a secret little…
You Can't Hide a Secret from a Process That Runs as You
I tried six different approaches to protect my credentials from an AI coding agent. Encrypted files, keychain, ACLs, Touch ID, a native addon, sandboxes. Every one failed for the same reason.
Attacks against modern generative artificial intelligence (AI) large language models (LLMs) pose a real threat. Yet discussions around these attacks and their potential defenses are dangerously myopic. The dominant narrative focuses on “prompt injection,” a set of techniques to embed instructions into inputs to LLM intended to perform malicious activity. This term suggests a simple, singular vulnerability. This framing obscures a more complex and dangerous reality. Attacks on LLM-based systems have evolved into a distinct class of malware execution mechanisms, which we term “promptware.” In a ...
I rendered 1,418 Unicode confusable pairs across 230 fonts. Most aren't confusable to the eye.
confusable-vision renders every TR39 confusable pair across 230 macOS system fonts and measures visual similarity with SSIM. 96.5% of confusables.txt is not high-risk, but 82 pairs are pixel-identical in at least one font.
TruffleHog is an open-source secrets scanning tool that digs deep into your code to find secrets, passwords, and sensitive keys that you may have inadvertently committed.
Google API Keys Weren't Secrets. But then Gemini Changed the Rules. ◆ Truffle Security Co.
Google spent over a decade telling developers that Google API keys (like those used in Maps, Firebase, etc.) are not secrets. But that's no longer true.