# CVE-2026-15154: Red Hat OpenShift AI ReDoS in guardrails-detectors

Source: https://junglewise.ai/threats/cve-2026-15154-red-hat-openshift-ai-redos-in-guardrails-detectors  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-07-08. Updated: 2026-07-08  
License: CC BY 4.0 with a link back

CVE-2026-15154 · Severity: medium · CVSS 6.5 · Published 2026-07-08

A security flaw has been identified in Red Hat OpenShift AI's guardrails-detectors, a component used to monitor and filter interactions with Large Language Models (LLMs). An attacker on the same network can send a specially crafted request that causes the system's processors to become overloaded. This results in a denial of service, either shutting down the AI pipeline or potentially allowing unmoderated content to bypass security filters.

## Quick answers

**Is CVE-2026-15154 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-15154 being exploited in the wild.

**How severe is CVE-2026-15154?** Medium severity, with a CVSS score of 6.5, published 8 July 2026.

**Which products and versions are affected?** Red Hat OpenShift AI (RHOAI) rhoai/odh-built-in-detector-rhel9.

**Is there a fix for CVE-2026-15154?** No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.

**How is CVE-2026-15154 attacked?** It is attacked from the adjacent network, in a network appliance.

**Am I affected by CVE-2026-15154?** Check whether anything you run is named in the advisory. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Technical details

A Regular Expression Denial of Service (ReDoS) vulnerability exists in the `guardrails-detectors` component of Red Hat OpenShift AI. The `RegexDetectorRegistry.handle_request()` function in `detectors/built_in/regex_detectors.py` fails to validate or timeout custom regular expressions provided via the `detector_params["regex"]` field. An unauthenticated attacker on the adjacent network can provide a pattern designed to trigger catastrophic backtracking in Python's `re` engine. Because the component typically runs with a limited number of worker processes, a small number of malicious requests can exhaust all available CPU resources, leading to a denial of service for the LLM guardrails pipeline or a bypass of security moderation.

## Affected products

- Red Hat OpenShift AI (RHOAI) rhoai/odh-built-in-detector-rhel9

## Timeline

- 2026-07-08: disclosed: Vulnerability reported via Red Hat's internal security audit.
- 2026-07-08: advisory

## References

- [https://access.redhat.com/downloads/content/package-browser/](https://access.redhat.com/downloads/content/package-browser/)
- [https://access.redhat.com/security/cve/CVE-2026-15154](https://access.redhat.com/security/cve/CVE-2026-15154)
- [https://bugzilla.redhat.com/show_bug.cgi?id=2498188](https://bugzilla.redhat.com/show_bug.cgi?id=2498188)