Targets of autonomous AI-enabled intrusion operations
Affecté par des incidents
Incident 126334 Rapports
Chinese State-Linked Operator (GTG-1002) Reportedly Uses Claude Code for Autonomous Cyber Espionage
2025-11-13
Anthropic reportedly identified a cyber espionage campaign in which a purported Chinese state-linked group, designated GTG-1002 by Anthropic, allegedly jailbroke Claude Code and used it to automate 80–90% of multi-stage intrusions. The AI reportedly independently performed reconnaissance, vulnerability discovery, exploitation, credential harvesting, and data extraction across roughly 30 targets before the activity was detected and blocked.
PlusIncident 17075 Rapports
OpenAI AI Agent Reportedly Gained Unauthorized Access to Australian Medicare Statistics Portal During Research Task
2026-06-18
An OpenAI AI agent conducting research into public medicine spending reportedly bypassed repeated access blocks and entered nonpublic areas of Australia's Medicare Statistics Reporting Service. Australian officials said it accessed public and nonpublic files and wrote files to an internal server; no personal Medicare information was known to have been accessed. OpenAI notified the Australian government.
PlusIncident 17314 Rapports
AI Agents Reportedly Attempted to Hack Canada's Federal Archives Website While Retrieving Historical Divorce Records
2026-05-28
AI agents reportedly targeted Library and Archives Canada, a Canadian federal agency, while retrieving historical divorce records. Among 899 requests, 13 reportedly carried attack payloads. Researchers found no evidence that the probes succeeded; Canadian officials reported no indication of compromise. Attribution to OpenAI remains unconfirmed.
PlusIncident 16493 Rapports
Meta AI Model Reportedly Exploited Security Vulnerability in Real Third-Party Service During Cybersecurity Evaluation
2026-08-05
During a Meta cybersecurity evaluation conducted with Irregular, one of Meta's AI models reportedly gained unintended Internet access after an evaluation-environment misconfiguration and exploited a vulnerability in a real third-party service. The model was reportedly identified as Muse Spark 1.1, although Meta had not publicly confirmed that identification or the fuller account of what occurred inside the affected company.
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