CVE-2026-97229 (GCVE-0-2026-97229)
Vulnerability from cvelistv5 – Published: 2026-10-13 01:05 – Updated: 2026-10-30 03:55Title
Integer Overflow or Wraparound in GitLab
Summary
GitLab has remediated an issue in GitLab CE/EE affecting all versions from 19.2 before 19.2.8, 19.3 before 19.3.5, and 19.4 before 19.4.2 that, under certain conditions, could have allowed an unauthenticated user to execute arbitrary code on the GitLab server via a specially crafted regular expression in a CI/CD configuration, due to insufficient regular expression validation.
Severity
10 (Critical)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-13 00:00 UTC
CWE
- CWE-190 - Integer Overflow or Wraparound
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://gitlab.com/gitlab-org/gitlab/-/work_items… | |
| https://hackerone.com/reports/4055749 | technical-descriptionexploitpermissions-required |
| https://hackerone.com/reports/4058589 | technical-descriptionexploitpermissions-required |
| https://docs.gitlab.com/releases/patches/patch-re… | |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 6bb13001-656b-4b5b-8ee1-192b55ce7468
Exploited: Yes
Timestamps
First Seen: 2026-10-29
Asserted: 2026-10-29
Scope
Notes: GitLab Community Edition and Enterprise Edition Integer Overflow or Wraparound Vulnerability | Affected: GitLab / Community Edition and Enterprise Edition | Description: GitLab Community Edition and Enterprise Edition contain a integer overflow or wraparound vulnerability that could allow an unauthenticated user to execute arbitrary code on the GitLab server via a specially crafted regular expression in a CI/CD configuration, due to insufficient regular expression validation. | Required action: Apply mitigations in accordance with vendor instructions, ensuring compliance with CISA’s BOD 26-04 Prioritizing Security Updates Based on Risk (see URL in Notes) guidance and CISA’s “Forensics Triage Requirements” (see URL in Notes). Follow applicable BOD 26-04 guidance for cloud services or discontinue use of the product if mitigations are unavailable. Stakeholders are responsible for evaluating each asset's internet exposure and ensuring adherence to BOD 26-04 patching guidelines. | Due date: 2026-11-01 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): Other products can potentially be affected by the same underlying Ruby/Onigmo Integer Overflow issue in CI/CD Regular Expression Compiler. For more information please see: https://www.ruby-lang.org/en/news/2026/10/23/regexp-fixes-for-gitlab-cves ; https://docs.gitlab.com/releases/patches/patch-release-gitlab-19-4-2-released/ ; BOD 26-04: https://www.cisa.gov/news-events/directives/bod-26-04-prioritizing-security-updates-based-risk ; Forensics Triage Requirements: https://www.cisa.gov/news-events/directives/bod-26-04-implementation-guidance-prioritizing-security-updates-based-risk ; https://nvd.nist.gov/vuln/detail/CVE-2026-97229
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-190 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Community Edition and Enterprise Edition |
| Due Date | 2026-11-01 |
| Date Added | 2026-10-29 |
| Vendorproject | GitLab |
| Vulnerabilityname | GitLab Community Edition and Enterprise Edition Integer Overflow or Wraparound Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-10-29 20:00 UTC
| Updated: 2026-10-29 20:00 UTC
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Browse all ATT&CK techniques and the vulnerabilities related to each.
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.