Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
-
AccessReach guardrails-detectors file_type endpoint
-
DeliverySubmit crafted XSD with external reference
-
ExploitParser resolves attacker URL (SSRF)
-
ExecutionServer fetches metadata/internal service or file://
-
PersistLeak cloud credentials or internal data
-
ImpactExfiltrate to attacker
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V4 - API and Web Service URL allowlisting, SSRF prevention
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Credential Access The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | The concrete prerequisite is that the attacker can reach the guardrails-detectors service and submit input to the file_type content detector that accepts an arbitrary XSD/XML Schema string, which the detector then parses and resolves without disabling external references. Per the CVSS vector (AV:N/AC:L/PR:N/UI:N) this requires no authentication and no user interaction against the exposed detector endpoint. Limiting factors: the guardrails-detectors file_type detector must be deployed and network-reachable by the attacker (in RHOAI it is a guardrails component that may sit behind internal service boundaries rather than the public internet), and the impact of SSRF depends on what internal URLs, metadata services, or files are reachable from the server's network position and privileges. |
| Impact | The signals are largely aligned toward high priority but incomplete. The provided CVSS 3.1 vector (AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N, score 9.3) indicates remote, unauthenticated, low-complexity exploitation with scope change - consistent with SSRF that crosses a trust boundary into internal services. However, no EPSS score, no SSVC decision data, no KEV listing, and no POC were provided, so real-world exploitation likelihood cannot be quantified from the input; the absence of these should not be read as low risk, only as unmeasured. The confidentiality-heavy impact (C:H, I:L, A:N) matches an information-disclosure SSRF rather than direct RCE. Net: treat as a genuine high-priority patching candidate given the network-reachable, unauthenticated vector, while noting that active-exploitation status is unknown and EPSS is missing. |
| Exploit ScenarioDerived | An attacker with network access to a guardrails-detectors endpoint submits content to the file_type detector containing a crafted XSD whose schema reference points at the cloud instance-metadata service or an internal-only URL. The server resolves the reference and returns or leaks the response, letting the attacker read cloud credentials or reach services that are not exposed externally; a second variant uses a file:// reference to read local files. No authentication or user interaction is required per the CVSS vector, and no public POC is currently identified. |
Get an e-mail when this CVE is exploited, patched or re-scored. Free account.
Alert meAnalysisAIv1 – Jul 10, 2026
Server-side request forgery in the file_type content detector of guardrails-detectors (a component shipped with Red Hat OpenShift AI/RHOAI) allows a remote attacker to submit an arbitrary XML Schema Definition (XSD) that the parser resolves without restriction, coercing the server into fetching attacker-chosen URLs or reading local files. Because the CVSS vector is AV:N/PR:N/UI:N with a changed scope and high confidentiality impact (base score 9.3), an unauthenticated attacker can pivot into internal networks and harvest secrets such as cloud provider credentials. There is no public exploit identified at time of analysis, and the flaw is not listed in CISA KEV.
RemediationAI
No vendor-released patch version is identified at time of analysis - the provided references point to the Red Hat CVE page (https://access.redhat.com/security/cve/CVE-2026-15143) and Bugzilla 2498165, not to a tagged fixed release - so monitor those advisories and apply the RHOAI errata/updated guardrails-detectors image as soon as Red Hat publishes it. As compensating controls until then: disable or restrict the file_type content detector from accepting user-supplied XSD/XML schema input, and harden the XML/XSD parser to forbid external schema resolution and entity expansion (disable external schemaLocation, xs:import/include over the network, and file:// access), which prevents the SSRF primitive at the cost of rejecting schemas that legitimately reference external resources. Additionally, apply egress network controls on the detector pods - deny outbound access to cloud metadata endpoints (169.254.169.254), link-local, and internal RFC1918 ranges - accepting that this may break any legitimate outbound schema fetches, and restrict inbound access to the detector API to trusted callers only.
Affects your stack
Find out whether the stacks and servers you run are on an affected version.
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
The affected code is the file_type content detector within guardrails-detectors, the guardrails/input-validation tier of Red Hat OpenShift AI's LLM serving stack. The root cause is CWE-918 (Server-Side Request Forgery): when the detector validates or infers file type, it processes a user-supplied XSD schema, and XSD/XML schema processors will resolve external references (e.g. schemaLocation, xs:import/xs:include, or external entity-style URIs) unless explicitly hardened. Because those references are dereferenced by the server with the server's own network position and file-system privileges, an attacker controls the destination - arbitrary http(s) URLs (including cloud metadata endpoints like 169.254.169.254) or file:// paths - turning a schema-validation feature into a request-forgery and local-file-read primitive.
Know when Red Hat Openshift Ai Rhoai gets its next vulnerability
- Watch products and get an email when something new is published
- Check this CVE against your own stack and servers
- Exploit and PoC references, threat intelligence from 22 sources
No credit card · 7-day full trial
Severity by source
AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N
Remote unauthenticated XSD input (AV:N/AC:L/PR:N/UI:N); SSRF crosses trust boundary (S:C) reading credentials/files (C:H), minor internal state change (I:L), no availability impact.
Primary rating from Vendor (redhat).
CVSS VectorVendor: redhat
DescriptionCVE.org
A flaw was found in the file_type content detector of guardrails-detectors. This vulnerability allows a remote attacker to supply an arbitrary XML Schema Definition (XSD) string, which is processed without proper restrictions. This can lead to server-side requests to arbitrary URLs or local file reads, potentially resulting in sensitive information disclosure, such as cloud provider credentials or access to internal network services.
Executive ViewAI
Red Hat OpenShift AI's guardrails-detectors component contains a critical server-side request forgery vulnerability (CVE-2026-15143, CVSS 9.3) that allows unauthenticated attackers to exfiltrate secrets and pivot into internal infrastructure without authentication or user interaction. Organizations deploying OpenShift AI face immediate risk of cloud credential theft and lateral network compromise.
No vendor-released patch identified at time of analysis. Interim mitigations: restrict network egress from guardrails-detectors to block arbitrary URL fetching; implement WAF rules to detect and reject XSD payloads in requests; network-segment the detector from credential repositories and sensitive systems; disable the detector if operationally non-critical. Monitor Red Hat security advisories for patch release.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Server-Side Request Forgery exploits applications that fetch remote resources based on user-supplied URLs.
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
Affected Products (CPE)CVE.org
More in Red Hat Openshift Ai Rhoai
View allThe Feast Feature Server contains a path traversal vulnerability in its `/read-document` endpoint that allows unauthenti
Unauthenticated remote code execution affects Feast (the open-source ML feature store), where user-defined functions sto
Authentication bypass in the Models-as-a-Service (MaaS) API component of Red Hat OpenShift AI (RHOAI) lets any pod alrea
Kubernetes Service Account token disclosure in the odh-dashboard component of Red Hat OpenShift AI (RHOAI) lets an authe
Arbitrary file write in the Feast Feature Server's `/save-document` endpoint lets an unauthenticated remote attacker wri
Privilege escalation in Red Hat OpenShift AI (RHOAI) training operator overlay allows any namespace editor to manage Tra
Privilege escalation in Red Hat OpenShift AI's training-operator enables any user holding a standard Kubernetes edit or
MySQL DSN parameter injection in Red Hat OpenShift AI's Data Science Pipelines Operator (DSPO) allows a namespace editor
Privilege escalation in odh-dashboard, the web interface for Red Hat OpenShift AI (RHOAI), allows any authenticated dash
Privilege escalation in odh-dashboard (Red Hat OpenShift AI) allows an attacker who has obtained the dashboard's Service
The MaaS (Model-as-a-Service) Gateway component in Red Hat OpenShift AI (RHOAI) is improperly configured, enabling any l
Authentication bypass in the odh-dashboard web console of Red Hat OpenShift AI (RHOAI) lets a low-privileged actor alrea
EUVD-2026-42927
GHSA-34cr-c6hf-4xgc
NVD
CVE.org
EPSS
Vulnrichment
VulDB
Exploit-DB