Security readout for executives and security teams
Plain-English summary
CVE-2026-15143 is a critical flaw in guardrails-detectors used with Red Hat OpenShift AI packages. An attacker may supply a malicious XML schema that causes the service to read local files or make server-side requests, risking exposure of sensitive data such as cloud credentials or internal service responses.
Executive priority
Treat this as urgent for any RHOAI environment processing untrusted content. The main business risk is sensitive data disclosure from cloud credentials or internal services, not service outage. Prioritize exposure review and vendor remediation tracking.
Technical view
The file_type content detector processes user-supplied XSD content without adequate restrictions. The published CVSS 3.1 score is 9.3 with network, low-complexity, unauthenticated, no-user-interaction attack conditions, changed scope, high confidentiality impact, and low integrity impact. The listed weakness is CWE-918.
Likely exposure
Exposure is most likely in Red Hat OpenShift AI deployments using the affected rhoai/odh-built-in-detector-rhel9 or rhoai/odh-guardrails-detector-huggingface-runtime-rhel9 packages where untrusted detector input can reach XML schema handling.
Exploitation context
The source bundle does not show CISA KEV listing or confirmed active exploitation. The CVSS vector indicates remote unauthenticated exploitation is plausible, but no public exploit status or weaponized technique is provided in the sources.
Researcher notes
Evidence is limited to the provided CVE, Red Hat references, and CVSS data. No fixed versions, patches, or official workarounds are included in the bundle. Avoid assuming broader guardrails-detectors distribution impact beyond the listed Red Hat packages.
Mitigation direction
- Check Red Hat CVE and Bugzilla pages for official fixes or workarounds.
- Update affected Red Hat OpenShift AI detector images when vendor-fixed builds are available.
- Limit exposure of services that accept untrusted detector input.
- Apply restrictive egress controls around detector workloads where operationally feasible.
- Review secrets placement to reduce impact of local file disclosure.
Validation and detection
- Inventory RHOAI deployments for the two affected detector package names.
- Identify routes or services that pass untrusted content to file_type detection.
- Check whether xml-with-schema handling is enabled or reachable.
- Review workload logs for unusual outbound requests or sensitive file access indicators.
- Track Red Hat advisory status for corrected package versions.
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 lookupCVE-2026-15143 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-2026-15143CVE reference, redhat · vdb-entry, x_refsource_REDHAT
- RHBZ#2498165CVE 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.