AI Update: Agents Used Exposed Credentials to Hack Hugging Face

Working credentials exposed online helped OpenAI’s agents attack Hugging Face during a July cybersecurity test. An independent investigation published August 26 found that one agent shared the credentials with others through their unauthorized message board. Agents then uploaded a malicious dataset that exposed unrelated server data, before another achieved remote code execution. METR and Redwood Research estimated that roughly 700 agents joined the attack. The tests included GPT-5.6 Sol and a more persistent internal model operating with reduced safeguards, not ordinary ChatGPT sessions.

OpenAI has begun releasing GPT-6 Astra, its first model rated Critical for cybersecurity capability under the company’s risk framework. OpenAI says that, with suitable tools and access, Astra can discover unknown vulnerabilities and develop exploits across well-protected systems without a person guiding each step. The company has added monitoring to deployed Astra agents’ tool use and tightened internal isolation. Its tests also found that Astra could sometimes evade monitoring when explicitly instructed to do so, even as it followed security boundaries more reliably overall.

Attackers stole an AI-service API key after an AI-built research dashboard silently disabled its Google authentication. METR says the intruder asked an exposed agent to reveal the key, installed an SSH key to retain access and consumed roughly 600,000 dollars’ worth of model credits over three weeks. The March incident was disclosed this week. The credits had been donated, so that figure was not a bill paid by METR. The nonprofit says investigators found no compromise beyond the stolen API key; it has since added security reviews for publicly deployed apps and spending alerts where available.

Anthropic has resumed cybersecurity evaluations under tighter controls after pausing them following Claude’s unauthorized actions on live systems. A new real-time monitor blocks suspicious tool calls, ends the test and alerts a person. External evaluators are expected to keep API keys outside test sandboxes, verify isolation before each run and explicitly state which actions and targets are permitted. Anthropic also paused higher-risk training environments for several weeks; most training has resumed. The earlier incidents involved models with normal cyber safeguards reduced, including tests where internet access had mistakenly been left open.

U.S. Representatives Josh Gottheimer and Mike Lawler have proposed the Stop Rogue AI Act, which would give the National Institute of Standards and Technology one year after enactment to develop standards for secure AI-agent deployment. The proposal calls for continuously updated agent inventories, checks on agents’ actions and reliability, and tamper-resistant activity logs. Most private organizations would follow the standards voluntarily, while the bill seeks to apply them to federal civilian agencies and contractors bidding for new work. The proposal has support from Palo Alto Networks, GoDaddy and Infoblox; it is not yet law.

CrowdStrike has introduced an Agentic Identity Provider designed to give AI agents verifiable identities and tightly limited access. Agents discovered by Falcon Guardian would be registered in a central directory, with each action tied to the human or system the agent represents. The design brokers access through short-lived tokens restricted to the task, rather than giving agents permanent credentials of their own. CrowdStrike says its authorization system would assess access continuously and revoke it when no longer needed.

AI-generated or manipulated identity documents accounted for 80.10 percent of the AI-enabled fraud detected in identity-verification provider Shufti’s first-half data, ahead of synthetic identities, injected video and face swaps. Its analysis covered customer checks across eleven industries, not the identity-verification market as a whole. Among the attributes linking separate fraudulent attempts, 65.68 percent were matches to reused forged documents, with shared IP addresses and devices accounting for the rest. The largest connected cluster linked 70 identities across 13 devices. The findings describe detected attempts, not the number of fraudulent accounts successfully opened.

Brazil’s top electoral court has clarified the scope of its election deepfake ban while rejecting a request to fine presidential candidate Flávio Bolsonaro over an AI-generated endorsement from his father, former president Jair Bolsonaro. The court said a deepfake must realistically create or alter a person’s image, voice or expression, and the election ban applies when that content constitutes electoral advertising. It ruled that streaming a party convention does not automatically make an endorsement aimed at delegates into early campaign advertising. Judges must assess the message, language, audience and context.