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.

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

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

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