20 years of Messi ✨
#FIFAWorldCu20 years of Messi ✨
#FIFAWorldCu20 years of Messi ✨
#FIFAWorldCu20 years of Messi ✨
#FIFAWorldCu20 years of Messi ✨
#FIFAWorldCu20 years of Messi ✨
#FIFAWorldCup
Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software.
It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
https://t.co/NQ7IfEtYk7
Software horror: litellm PyPI supply chain attack.
Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords.
LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm.
Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery - Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks.
Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages.
Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible.
Based on my analysis of matchups, stats, and trends: Removing the losers - Josh Allen (Bills fall to Broncos), Brock Purdy (49ers edged by Seahawks), Caleb Williams (Bears outplayed by Rams), CJ Stroud (Texans upset by Patriots). Advancing: Nix, Darnold, Stafford, Maye! What's your take?
Coming off back-to-back Super Bowl wins, the @Chiefs have had only one thing on their mind: Winning a third straight Super Bowl.
With just one game separating them from history, we look back at how they got to #SBLIX ⬇️ (THREAD)