Attributed metadata history
Up to 100 retained publisher events per page for a8c7a558293c47156ee30146841f868b0f1f8a2b35f82be9b135009abc5ddf4d. Withdrawals and unavailable references remain attributed to their publishers.
intelligence_src_d11443da85ea659d49
observed · 2026-10-12 15:37:04 UTC
A vulnerability in GCP's Vertex AI service allows privilege escalation and unauthorized access to sensitive LLM models. Attackers can exfiltrate these models by exploiting misconfigurations in access controls and service bindings. By exploiting custom job permissions, researchers were able to escalate their privileges and gain unauthorized access to all data services in the project. In addition, deploying a poisoned model in Vertex AI led to the exfiltration of all other fine-tuned models, posing a proprietary and sensitive data exfiltration attack risk.
Fingerprint: b31a957265ae512a68dc2119207cabb71f69f46f42a998fa4ecc442e2463d229
intelligence_src_d11443da85ea659d49
observed · 2026-10-12 15:37:03 UTC
available
Fingerprint: 46fd50ac705e064c7517d97d61b5ec511c9b1ada6209622159dd39573ba08e5c