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CVE Record

CVE-2026-6587: vibrantlabsai RAGAS Collections util.py _try_process_url server-side request forgery

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.

HighCVSS 8.1Not KEV-listedUpdated
Glexia's TakeAutomated analysishigh

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.
Prepared
Confidence
medium
Sources
9

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.

Open ATT&CK lookup
description · low confidence lookup

Cloud 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 lookup
cve · low confidence lookup

CVE-2026-6587 mapping review

Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.

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Vulnerability profileCVE Program record
Severity
High
CVSS
8.1 (3.1)
Known Exploited
No
Published

Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:L/A:L

Official CVE source material

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.

5CVSS vectors
8Timeline events
2ADP providers
8Source links

SSVC decision data

CISA-ADPCISA Coordinator
Timestamp
Version
2.0.3
Exploitation: pocAutomatable: noTechnical Impact: partial

CVSS vector scores

5 official scores

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.

ScoreVersionSeverityVectorExploitImpactSource
8.1CVSS 3.1HighCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:L/A:L2.25.3redhat-SADP
6.5CVSS 2.0MediumAV:N/AC:L/Au:S/C:P/I:P/A:P/E:POC/RL:ND/RC:UR86.4VulDB
6.3CVSS 3.1MediumCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L/E:P/RL:X/RC:R2.83.4VulDB
6.3CVSS 3.0MediumCVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L/E:P/RL:X/RC:R2.83.4VulDB
5.3CVSS 4.0MediumCVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:PVulDB

Vulnerability scoring details

Base CVSS 4.0 score

5.3Medium
CVSS 4.0 vector shape for CVE-2026-6587Attack VectorAttack ComplexityAttack RequirementsPrivileges RequiredUser InteractionVS ConfidentialityVS IntegrityVS AvailabilitySS ConfidentialitySS IntegritySS Availability

Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Attack Requirements
NonePresent
Privileges Required
NoneLowHigh
User Interaction
NonePassiveActive
VS Confidentiality
HighLowNone
VS Integrity
HighLowNone
VS Availability
HighLowNone
SS Confidentiality
HighLowNone
SS Integrity
HighLowNone
SS Availability
HighLowNone

Vulnerability timeline

Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.

  1. Source timelineVulDB

    Advisory disclosed

  2. Source timelineVulDB

    VulDB entry created

  3. CVE reservedCVE Program

    The CVE ID was reserved by the assigning CNA.

  4. Source timelineVulDB

    VulDB entry last update

  5. ADP timelineredhat-SADP

    Made public.

  6. CVE publishedCVE Program

    The CVE record was published.

  7. ADP timelineredhat-SADP

    Reported to Red Hat.

  8. CVE updatedCVE Program

    The CVE record metadata indicates this as the latest update time.

ADP provider summaries

CISA-ADPCISA ADP Vulnrichment
other:ssvc
redhat-SADPvibrantlabsai RAGAS: vibrantlabsai RAGAS: Server-Side Request Forgery via retrieved_contexts argument manipulation
other:Red Hat severity ratingcvssV3_1
  • 2026-04-20T01:00:52.313Z: Reported to Red Hat.
  • 2026-04-20T00:00:19.515Z: Made public.

Source materials

Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
vibrantlabsaiRAGAS0.4.0, 0.4.1, 0.4.2, 0.4.3Listed
Weakness

CWE details

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.