A flaw was found in the guardrails-detectors component. (CVE-2026-15378)
A critical vulnerability (CVE-2026-15378) exists in the guardrails-detectors component that allows remote attackers to perform blind Server-Side Request Forgery (SSRF) via a specially crafted XML Schema Definition (XSD) string. This flaw can lead to unauthorized access to sensitive internal resources such as cloud metadata services, Kubernetes API, internal MinIO, and local files containing service account tokens and pod secrets. The vulnerability has a CVSS score of 9.3, indicating high severity. Red Hat has issued advisories for Red Hat OpenShift AI products addressing this vulnerability with updated images available. No direct fixes are currently included in the advisories, but updated images are provided to mitigate the issue.
AI Analysis
Technical Summary
CVE-2026-15378 is a critical SSRF vulnerability in the guardrails-detectors component. It allows remote attackers to submit a crafted XSD string that triggers blind SSRF, enabling unauthorized access to sensitive internal endpoints and local files containing critical credentials and secrets. The vulnerability affects Red Hat OpenShift AI products, as indicated by Red Hat security advisories. The CVSS 3.1 vector is AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N, reflecting network attack vector, low attack complexity, no privileges or user interaction required, scope changed, high confidentiality impact, limited integrity impact, and no availability impact. Red Hat has released updated container images for Red Hat OpenShift AI to address this issue, though no explicit patch details are provided in the advisories.
Potential Impact
Successful exploitation allows remote attackers to perform blind SSRF, potentially accessing sensitive information such as cloud metadata credentials, Kubernetes API data, internal MinIO storage, and local files containing service account tokens and pod secrets. This can lead to significant confidentiality breaches within affected environments. The vulnerability does not impact system availability and has limited integrity impact.
Mitigation Recommendations
Red Hat has issued security advisories recommending upgrading to updated Red Hat OpenShift AI container images that include mitigations for this vulnerability. Users should follow the official Red Hat OpenShift AI upgrade documentation to apply these updates fully. No additional vendor-provided patches are explicitly stated beyond updated images. Patch status is confirmed by the vendor advisory indicating updated images are available. Users should prioritize applying these updates to mitigate the risk.
A flaw was found in the guardrails-detectors component. (CVE-2026-15378)
Description
A critical vulnerability (CVE-2026-15378) exists in the guardrails-detectors component that allows remote attackers to perform blind Server-Side Request Forgery (SSRF) via a specially crafted XML Schema Definition (XSD) string. This flaw can lead to unauthorized access to sensitive internal resources such as cloud metadata services, Kubernetes API, internal MinIO, and local files containing service account tokens and pod secrets. The vulnerability has a CVSS score of 9.3, indicating high severity. Red Hat has issued advisories for Red Hat OpenShift AI products addressing this vulnerability with updated images available. No direct fixes are currently included in the advisories, but updated images are provided to mitigate the issue.
CVSS v3.1
Score 9.3critical
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-15378 is a critical SSRF vulnerability in the guardrails-detectors component. It allows remote attackers to submit a crafted XSD string that triggers blind SSRF, enabling unauthorized access to sensitive internal endpoints and local files containing critical credentials and secrets. The vulnerability affects Red Hat OpenShift AI products, as indicated by Red Hat security advisories. The CVSS 3.1 vector is AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N, reflecting network attack vector, low attack complexity, no privileges or user interaction required, scope changed, high confidentiality impact, limited integrity impact, and no availability impact. Red Hat has released updated container images for Red Hat OpenShift AI to address this issue, though no explicit patch details are provided in the advisories.
Potential Impact
Successful exploitation allows remote attackers to perform blind SSRF, potentially accessing sensitive information such as cloud metadata credentials, Kubernetes API data, internal MinIO storage, and local files containing service account tokens and pod secrets. This can lead to significant confidentiality breaches within affected environments. The vulnerability does not impact system availability and has limited integrity impact.
Mitigation Recommendations
Red Hat has issued security advisories recommending upgrading to updated Red Hat OpenShift AI container images that include mitigations for this vulnerability. Users should follow the official Red Hat OpenShift AI upgrade documentation to apply these updates fully. No additional vendor-provided patches are explicitly stated beyond updated images. Patch status is confirmed by the vendor advisory indicating updated images are available. Users should prioritize applying these updates to mitigate the risk.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-85xg-h6rv-rgf5
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-15378"]
- Ecosystems
- []
- Database Specific Severity
- CRITICAL
- Cvss Version
- 3.1
Patch Information
Threat ID: 6aa0ade3acd9273b497cd029
Added to database: 09/09/2026, 00:52:51 UTC
Last enriched: 09/09/2026, 01:07:06 UTC
Last updated: 09/09/2026, 01:07:06 UTC
Views: 4
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