A security flaw has been discovered in vibrantlabsai RAGAS up to 0.4.3. The affected element is the function _try_process_local_file/_try_process_url of the file src/ragas/metrics/collections/multi_modal_faithfulness/util.py of the component Collections Module. Performing a manipulation of the argument retrieved_contexts results in server-side request forgery. The attack can be initiated remotely. The exploit has been released to the public and may be used for attacks. The security patch for CVE-2025-45691 was applied to a different module only. The vendor was contacted early about this disclosure but did not respond in any way.
Security readout for executives and security teams
Plain-English summary
CVE-2026-6587 is a high-severity SSRF flaw in vibrantlabsai RAGAS Collections. If exposed to untrusted inputs, affected systems may be tricked into making server-side requests, including to internal resources. Public exploit material is reported, but the provided sources do not show confirmed active exploitation.
Executive priority
Treat as high priority where RAGAS is reachable through user-controlled AI evaluation inputs. The risk is lower for isolated, internal-only use, but public exploit availability raises urgency.
Technical view
The flaw affects _try_process_local_file/_try_process_url in src/ragas/metrics/collections/multi_modal_faithfulness/util.py. Manipulating retrieved_contexts can trigger server-side request forgery. Affected versions listed are RAGAS 0.4.0 through 0.4.3. CVSS 3.1 is 8.1 with network attack vector, no privileges, no user interaction, and changed scope.
Likely exposure
Exposure is most likely where RAGAS 0.4.0-0.4.3 processes untrusted retrieved_contexts, especially in networked evaluation or AI application pipelines with outbound access to internal services.
Exploitation context
The source bundle reports public exploit availability, but KEV is false and no cited source confirms active exploitation. Vendor response and a fixed version are not established in the provided evidence.
Researcher notes
Evidence indicates a bypass or incomplete prior fix: CVE-2025-45691 was reportedly patched in a different module only. Validate behavior defensively without reproducing public exploit chains, and track vendor guidance closely.
Mitigation direction
Inventory RAGAS usage and identify versions 0.4.0 through 0.4.3.
Check vendor, package repository, and Red Hat guidance for an official fix.
Restrict untrusted access to affected Collections Module workflows.
Limit server outbound access to internal networks and metadata services.
Disable or isolate vulnerable processing paths until guidance is available.
Validation and detection
Confirm whether deployed code imports the affected multi_modal_faithfulness util.py module.
Review application paths that pass user-controlled retrieved_contexts into RAGAS.
Check dependency manifests and runtime images for RAGAS 0.4.0-0.4.3.
Review outbound request logs for unusual internal or metadata service access.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
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 · medium confidence lookup
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.
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.
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.
We 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.
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
CWE-918 · source CWE mapping
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.