src_d11443da85ea659d49
- Source-provided label
- Not reported
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Nov 12, 2024 00:00 UTC
- Retrieved
- Oct 08, 2026 03:52 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, d
ModeLeak: LLM Model Exfiltration Vulnerability in Vertex AI0678649a9cbc1e7a090866749f3a33384b338a95ec8aaa8399df03c60e1d3230Network indicators are visibly defanged. This page does not make them clickable or send them to another service.
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Sources represented on this page. Publication and observation dates describe the content; successful batch dates describe local collection. A recent batch does not certify complete coverage or current provider availability.
1 sources: 0 stale, 0 needing attention, 0 paused, 1 unverified.
Stale means older than twice the recorded collection interval, with a minimum of one hour; without an interval, the threshold is 24 hours. Cached content remains available while a feed is stale, paused, or unverified.