CVE-2026-0723 (GCVE-0-2026-0723)
Vulnerability from cvelistv5 – Published: 2026-01-22 13:34 – Updated: 2026-02-26 14:44
VLAI
EPSS
VEX
Title
Unchecked Return Value in GitLab
Summary
GitLab has remediated an issue in GitLab CE/EE affecting all versions from 18.6 before 18.6.4, 18.7 before 18.7.2, and 18.8 before 18.8.2 that could have allowed an individual with existing knowledge of a victim's credential ID to bypass two-factor authentication by submitting forged device responses.
Severity
7.4 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-23 04:55 UTC
CWE
- CWE-252 - Unchecked Return Value
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://gitlab.com/gitlab-org/gitlab/-/issues/585333 | issue-trackingpermissions-required |
| https://hackerone.com/reports/3476052 | technical-descriptionexploitpermissions-required |
| https://about.gitlab.com/releases/2026/01/21/patc… |
Impacted products
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.
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.
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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.
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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.