CVE-2018-10379 (GCVE-0-2018-10379)
Vulnerability from cvelistv5 – Published: 2018-05-31 21:00 – Updated: 2024-08-05 07:39Summary
An issue was discovered in GitLab Community Edition (CE) and Enterprise Edition (EE) before 10.5.8, 10.6.x before 10.6.5, and 10.7.x before 10.7.2. The Move Issue feature contained a persistent XSS vulnerability.
Severity
6.1 (Medium)
CWE
- n/a
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://about.gitlab.com/2018/04/30/security-rele… | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/104491 | vdb-entryx_refsource_BID |
Date Public
2018-05-31 00:00
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 510359de-d70c-49e2-9f84-86f56600699f
Exploited: Yes
Timestamps
First Seen: 2025-04-23
Asserted: 2025-04-23
Scope
Notes: KEVIntel entry: An issue was discovered in GitLab Community Edition (CE) and Enterprise Edition (EE) before 10.5.8, 10.6.x before 10.6.5, and 10.7.x before 10.7.2.... | Affected: GitLab / GitLab Community Edition (CE), GitLab Enterprise Edition (EE) | CVSS: 6.1 (MEDIUM) | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | An issue was discovered in GitLab Community Edition (CE) and Enterprise Edition (EE) before 10.5.8, 10.6.x before 10.6.5, and 10.7.x before 10.7.2.... |
| Vendor | GitLab |
| Product | GitLab Community Edition (CE), GitLab Enterprise Edition (EE) |
| Added Date | 2025-04-23T21:33:20.000Z |
| Cvss Score | 6.1 |
| Epss Score | None |
| Cvss Severity | MEDIUM |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-06-23 11:13 UTC
| Updated: 2026-06-23 11:13 UTC
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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.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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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