Openshift Ai
Monthly
ReDoS vulnerability in the guardrails-detectors component of Red Hat OpenShift AI enables adjacent-network attackers to submit specially crafted regular expressions to the public detection API, triggering catastrophic backtracking that pins a worker process at 100% CPU indefinitely. The availability impact extends beyond the component itself - the entire guardrails-mediated LLM pipeline is rendered non-functional. No public exploit identified at time of analysis, but exploitation requires no authentication and trivial effort from an adjacent network position.
ReDoS vulnerability in the guardrails-detectors component of Red Hat OpenShift AI enables adjacent-network attackers to submit specially crafted regular expressions to the public detection API, triggering catastrophic backtracking that pins a worker process at 100% CPU indefinitely. The availability impact extends beyond the component itself - the entire guardrails-mediated LLM pipeline is rendered non-functional. No public exploit identified at time of analysis, but exploitation requires no authentication and trivial effort from an adjacent network position.