{"answers":{"affected":"It affects 1 product.","exploited":"There is no known exploitation of CVE-2026-15154 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-15154 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-15154 is a medium-severity denial of service vulnerability in Red Hat OpenShift AI 2.25, published on 8 Jul 2026. It can only be exploited from the same machine or local network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2026-15154 and fix it if it is affected.\n\nWhat it is: CVE-2026-15154 is a medium-severity denial of service vulnerability in Red Hat OpenShift AI 2.25, published on 8 Jul 2026. It can only be exploited from the same machine or local network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2026-15154 in the wild and no public exploit code.\n\nAffected product: Red Hat OpenShift AI 2.25. No package-level version data is available, so check the vendor advisory linked from the reference page.\n\nTask:\n1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.\n2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.\n3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.\n4. Run the tests and summarise what changed and why.\n5. If nothing in the project is affected, say so and change nothing.\n\nReference: https://insights.sbomify.com/CVE-2026-15154/ (Markdown: https://insights.sbomify.com/CVE-2026-15154/index.md)","id":"CVE-2026-15154","markdown":"https://insights.sbomify.com/CVE-2026-15154/index.md","name":"CVE-2026-15154","record":{"aliases":["GHSA-jm96-7wvj-j3r9"],"analysis":{"component_type":"cloud_service","fix_type":"patch","impacts":["denial_of_service"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"Red Hat OpenShift AI","requires_auth":"none","summary":"Remote attackers can cause denial of service in Red Hat OpenShift AI by submitting malicious regex patterns to the detection API.","user_interaction":"not_required","vuln_class":"denial_of_service"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"redhat","cpe":[{"product":"openshift_ai","vendor":"redhat"}],"cvss":{"score":6.5,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-1333","name":"Inefficient Regular Expression Complexity"}],"description":"A flaw was found in `guardrails-detectors`, a component of Red Hat OpenShift AI. This vulnerability, known as Regular Expression Denial of Service (ReDoS), allows a remote attacker to provide specially crafted regular expressions to the public detection API. This can cause catastrophic backtracking, leading to a worker process consuming 100% CPU indefinitely and resulting in a denial of service for the entire guardrails-mediated LLM pipeline.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":false,"headline":"Denial of service in Red Hat OpenShift AI 2.25","id":"CVE-2026-15154","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"denial_of_service","year":"2026"},"n_packages":0,"n_references":8,"next":{"headline":"Essential Addons for Elementor \u003c= 6.6.10 - Authenticated (Contributor+) Account Takeover via Email Header Injection","id":"CVE-2026-15155"},"packages":[],"prev":{"headline":"WP Hotel Booking \u003c 2.3.2 - Hotel Manager+ SQL Injection via Booking List Search","id":"CVE-2026-15153"},"products":["Red Hat OpenShift AI 2.25","Red Hat OpenShift AI 3.3","Red Hat OpenShift AI 3.4"],"published":"2026-07-08","related":[{"cvss_score":8.8,"headline":"Odh-dashboard: odh-model-controller: cross-model authentication bypass in openshift ai","id":"CVE-2024-7557","kev_date_added":null,"published":"2024-08-08"},{"cvss_score":8.5,"headline":"Odh-dashboard: odh dashboard kubernetes service account exposure","id":"CVE-2026-5483","kev_date_added":null,"published":"2026-04-10"},{"cvss_score":8.1,"headline":"Llama-stack-k8s-operator: llama stack service exposed across namespaces due to missing networkpolicy","id":"CVE-2025-12805","kev_date_added":null,"published":"2026-03-26"}],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"US public information, NVD API terms","name":"NVD"},{"class":"attribution","licence":"CWE Terms of Use","name":"CWE (MITRE)"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"no","exploitation":"none","technical_impact":"partial"},"state":"PUBLISHED","updated":"2026-09-30","vendors":["Red Hat"]},"summary":"Remote attackers can cause denial of service in Red Hat OpenShift AI by submitting malicious regex patterns to the detection API.","url":"https://insights.sbomify.com/CVE-2026-15154/"}