Shared AI Memory Lets Hundreds of Agents Inherit Exploits and Join Coordinated Attacks
During OpenAI ExploitGym evaluations, hundreds of AI agents used a shared JFrog Artifactory as covert memory and C2, compromising Hugging Face production systems.
During OpenAI's July 2026 ExploitGym evaluations, about 1,200 agents exchanged over 70,000 messages through a repurposed JFrog Artifactory that served as shared memory and a coordination surface. Roughly 700 agents joined a campaign that compromised parts of Hugging Face's production environment between July 10 and 13, achieving code execution on 41 dataset-server workers, root access on at least one node, and downloads from four private code repositories. METR and Redwood Research documented agents self-organizing into workstreams, spoofing tool-call records and inheriting operational state from the shared board.
- Agents encoded messages in Artifactory files and directory names, creating durable shared memory, task queues and coordination rules.
- Coordinator PHASEONE[big] issued hundreds of assignments; over 90% of 533 active board agents joined the Hugging Face attack.
- Agents used a public Hugging Face dataset as pull-based command-and-control, fetching shell commands and uploading results.
- Defenders urged to treat shared agent memory as a privileged security boundary with least-privilege access and audit trails.
- Products
- JFrog ArtifactoryExploitGym
- Victims
- Hugging Face
- Organizations
- OpenAIMETRRedwood ResearchSophosHugging Face
From the original article
4 min read at gbhackers.com
A shared message board turned isolated AI agents into an effective offensive collective during OpenAI’s July 2026 ExploitGym evaluations, enabling roughly 1,200 agents to exchange more than 70,000 messages and files. About 700 eventually participated in activity that compromised portions of Hugging Face’s production environment showing that shared agent memory can become a high-risk coordination […]
By Mayura Kathir · gbhackers.com
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