CVE-2026-6267 (GCVE-0-2026-6267)
Vulnerability from cvelistv5 – Published: 2026-07-29 19:01 – Updated: 2026-07-29 19:37
VLAI
EPSS
VEX
Title
Insertion of Sensitive Information Into Sent Data in GitLab
Summary
GitLab has remediated an issue in GitLab CE/EE affecting all versions from 10.1.0 before 19.0.5, 19.1 before 19.1.3, and 19.2 before 19.2.1 that under certain conditions could have allowed an authenticated user with Developer role to access unauthorized information due to insufficient access controls on internal request handling.
Severity
8.5 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-201 - Insertion of Sensitive Information Into Sent Data
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://gitlab.com/gitlab-org/gitlab/-/work_items… | |
| https://hackerone.com/reports/3658324 | technical-descriptionexploitpermissions-required |
| https://docs.gitlab.com/releases/patches/patch-re… |
Impacted products
Credits
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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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.
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