Security readout for executives and security teams
Plain-English summary
CVE-2026-15378 is a critical flaw in Red Hat OpenShift AI’s guardrails-detectors component. An unauthenticated remote attacker could submit a malicious XML schema and make the service reach internal systems or read local files. This may expose cloud credentials, Kubernetes tokens, pod secrets, or internal service data.
Executive priority
Treat as urgent for environments running Red Hat OpenShift AI guardrails. The main business risk is credential or secret exposure leading to broader cloud, Kubernetes, or internal service compromise.
Technical view
The issue is CWE-918 SSRF in guardrails-detectors via user-supplied XSD handled by xml-with-schema. Red Hat describes blind SSRF to internal endpoints and local file reads. The listed affected package is rhoai/odh-fms-guardrails-orchestrator-rhel9 for Red Hat OpenShift AI. CVSS is 9.3: network exploitable, low complexity, no privileges, no user interaction.
Likely exposure
Organizations using Red Hat OpenShift AI with the affected guardrails orchestrator package may be exposed, especially where XML schema input is accepted from untrusted users or integrated services.
Exploitation context
The CVE record and Red Hat description support remote unauthenticated exploitation potential. The source bundle does not indicate known active exploitation, and KEV is false. Impact depends on network reachability and secrets accessible from the service runtime.
Researcher notes
Evidence is limited to the CVE and Red Hat references in the provided bundle. No specific fixed version, advisory remediation, or public exploit is included. Avoid assuming exploitation in the wild without KEV or vendor confirmation.
Mitigation direction
- Check Red Hat’s CVE page and Bugzilla for official fixes or workarounds.
- Identify deployments containing rhoai/odh-fms-guardrails-orchestrator-rhel9.
- Restrict untrusted XML schema input where feasible.
- Limit service access to cloud metadata and internal administrative endpoints.
- Review pod/service account permissions for least privilege.
Validation and detection
- Inventory Red Hat OpenShift AI deployments and guardrails-detectors usage.
- Confirm whether the affected package is present in running images.
- Review exposure paths that accept XML schema input.
- Check egress controls from the component to internal services.
- Look for unusual requests to metadata, Kubernetes API, or internal MinIO endpoints.
Public sources used
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
CWE-918: Information exposure and cloud metadata lookup
Information exposure and SSRF weaknesses can make discovery, cloud metadata, and credential material review relevant. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
Open ATT&CK lookupCloud metadata behavior lookup
The CVE wording references SSRF or metadata access, so cloud discovery and credential material review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
Open ATT&CK lookupContainer behavior lookup
The affected technology mentions containers, so container-specific ATT&CK technique review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
Open ATT&CK lookupCVE-2026-15378 mapping review
Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.
Open ATT&CK lookup- Severity
- Critical
- CVSS
- 9.3 (3.1)
- Known Exploited
- No
- Published
Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N
CNA and ADP enrichment extracted from CVE v5
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
SSVC decision data
CVSS vector scores
1 official scoreWe collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N3.94.7redhatVulnerability scoring details
Base CVSS 3.1 score
9.3CriticalVector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N
Vulnerability timeline
Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.
- Source timelineredhat
Reported to Red Hat.
- CVE reservedCVE Program
The CVE ID was reserved by the assigning CNA.
- Source timelineredhat
Made public.
- CVE publishedCVE Program
The CVE record was published.
- CVE updatedCVE Program
The CVE record metadata indicates this as the latest update time.
ADP provider summaries
Source materials
- CVE List V5 sourceCVE List V5
- https://access.redhat.com/security/cve/CVE-2026-15378CVE reference, redhat · vdb-entry, x_refsource_REDHAT
- RHBZ#2498941CVE reference, redhat · issue-tracking, x_refsource_REDHAT
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
Server-Side Request Forgery (SSRF)
Server-Side Request Forgery (SSRF) represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.