Attackers Steal METR API Key and Consume AI Credits Worth About $600,000
METR disclosed attackers stole an API key and burned about $600,000 in inference credits, plus a second probing campaign against its infrastructure.
METR, the AI model evaluation non-profit, disclosed two 2026 security incidents. In March, attackers found a publicly exposed EC2 instance behind a fail-open authentication bug, prompted an agent to reveal its API key, added SSH persistence, and consumed roughly $600,000 in inference credits over three weeks. In May, a likely financially motivated actor systematically probed METR's public infrastructure using agents for vulnerability discovery, credential stuffing, OAuth token grants and staff phishing, with no confirmed access to non-public data.
Attacker stole a METR API key, used $600K worth of credits, and no one noticed for weeks
Attackers stole a METR API key via an exposed agent-run EC2 instance and consumed about $600,000 in public model credits over three weeks.
AI evaluation nonprofit METR disclosed two incidents. In March 2026, a fail-open bug in a vibe-coded app disabled authentication on a publicly accessible EC2 instance; an attacker prompted the running agent to reveal a model provider API key, added an SSH key for persistence, and consumed roughly $600,000 in free public-model credits over three weeks without being noticed. In May 2026, attackers probed METR's public infrastructure using agents, automated vulnerability discovery, credential stuffing, OAuth token attempts, and phishing; a separately exposed read-only SQL mechanism found by a bug bounty hunter risked leaking unpublished evaluation data, but no access to non-public data was confirmed.
Chess.com Leak Exposes 7.3 Million Users — Evidence Points to Scraping
A free 15.5 GB leak exposed 7.3 million Chess.com user records; analysis suggests large-scale scraping via find-friends rather than a server breach.
A 15.5 GB dump containing 7,337,395 Chess.com records appeared on leak forums posted by user V0idix at no cost. Ransomnews confirmed the data is genuine by validating embedded v1 UUID timestamps against registration dates, but found daily-batch collection over nine days and ~7.4% duplicate records, pointing to scraping. The schema includes emails, ratings, subscription tiers and internal Google Ad Manager audience segments not exposed in the public API, and contains no passwords or payment data. Chess.com reported a similar 828,000-record 2023 leak from find-friends abuse and said then that it was not a breach.