Vulnerability-Lookup

CERTFR-2026-AVI-0135

Vulnerability from certfr_avis - Published: 2026-02-09 - Updated: 2026-02-09

Une vulnérabilité a été découverte dans GitLab AI Gateway. Elle permet à un attaquant de provoquer une exécution de code arbitraire à distance et un déni de service à distance.

Solutions

Se référer au bulletin de sécurité de l'éditeur pour l'obtention des correctifs (cf. section Documentation).

Impacted products

Vendor	Product	Description
GitLab	AI Gateway	GitLab AI Gateway versions 18.7.x antérieures à 18.7.1
GitLab	AI Gateway	GitLab AI Gateway versions 18.8.x antérieures à 18.8.1
GitLab	AI Gateway	GitLab AI Gateway versions antérieures à 18.6.2

References

Title

Publication Time

CVE-2026-1868 (GCVE-0-2026-1868)

Vulnerability from cvelistv5 – Published: 2026-02-09 06:33 – Updated: 2026-02-09 15:46

Title

Improper Neutralization of Special Elements Used in a Template Engine in GitLab AI Gateway

Summary

GitLab has remediated a vulnerability in the Duo Workflow Service component of GitLab AI Gateway affecting all versions of the AI Gateway from 18.1.6, 18.2.6, 18.3.1 to 18.6.1, 18.7.0, and 18.8.0 in which AI Gateway was vulnerable to insecure template expansion of user supplied data via crafted Duo Agent Platform Flow definitions. This vulnerability could be used to cause Denial of Service or gain code execution on the Gateway. This has been fixed in versions 18.6.2, 18.7.1, and 18.8.1 of the GitLab AI Gateway.

Severity

9.9 (Critical)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-02-09 15:46 UTC

CWE

CWE-1336 - Improper Neutralization of Special Elements Used in a Template Engine

Assigner

GitLab mitre root

References

2 references

URL	Tags
https://gitlab.com/gitlab-org/modelops/applied-ml…
https://about.gitlab.com/releases/2026/02/06/patc…

Impacted products

1 product

Vendor	Product	Version
GitLab	GitLab AI Gateway	Affected: 18.1.6 , < 18.6.2 (semver) Affected: 18.7.0 , < 18.7.1 (semver) Affected: 18.8.0 , < 18.8.1 (semver) cpe:2.3:a:gitlab:ai-gateway::::::::

Credits

This vulnerability has been discovered internally by GitLab team member Joern Schneeweisz

Show details on NVD website

JSON

To clipboard

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                "id": "CVE-2026-1868",
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                "timestamp": "2026-02-09T15:46:36.826269Z",
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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.