GHSA-9CRM-342Q-WG6V
Vulnerability from github – Published: 2026-01-06 21:30 – Updated: 2026-01-30 18:31An Improper Neutralization of Input During Web Page Generation vulnerability was identified in GitHub Enterprise Server that allowed attacker controlled HTML to be rendered by the Filter component (search) across GitHub that could be used to exfiltrate sensitive information. An attacker would require permissions to create or modify the names of milestones, issues, pull requests, or similar entities that are rendered in the vulnerable filter/search components. This vulnerability affected all versions of GitHub Enterprise Server prior to 3.20 and was fixed in versions 3.19.1, and 3.18.2, 3.17.8, 3.16.11, 3.15.15, and 3.14.20. This vulnerability was reported via the GitHub Bug Bounty program.
{
"affected": [],
"aliases": [
"CVE-2025-13744"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-01-06T21:15:41Z",
"severity": "HIGH"
},
"details": "An Improper Neutralization of Input During Web Page Generation vulnerability was identified in GitHub Enterprise Server that allowed attacker controlled HTML to be rendered by the Filter component (search) across GitHub that could be used to exfiltrate sensitive information. An attacker would require permissions to create or modify the names of milestones, issues, pull requests, or similar entities that are rendered in the vulnerable filter/search components. This vulnerability affected all versions of GitHub Enterprise Server prior to 3.20 and was fixed in versions 3.19.1, and 3.18.2, 3.17.8, 3.16.11, 3.15.15, and 3.14.20. This vulnerability was reported via the GitHub Bug Bounty program.",
"id": "GHSA-9crm-342q-wg6v",
"modified": "2026-01-30T18:31:12Z",
"published": "2026-01-06T21:30:34Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-13744"
},
{
"type": "WEB",
"url": "https://docs.github.com/en/enterprise-server@3.14/admin/release-notes#3.14.20"
},
{
"type": "WEB",
"url": "https://docs.github.com/en/enterprise-server@3.15/admin/release-notes#3.15.15"
},
{
"type": "WEB",
"url": "https://docs.github.com/en/enterprise-server@3.16/admin/release-notes#3.16.11"
},
{
"type": "WEB",
"url": "https://docs.github.com/en/enterprise-server@3.17/admin/release-notes#3.17.8"
},
{
"type": "WEB",
"url": "https://docs.github.com/en/enterprise-server@3.18/admin/release-notes#3.18.2"
},
{
"type": "WEB",
"url": "https://docs.github.com/en/enterprise-server@3.19/admin/release-notes#3.19.1"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:H/VI:L/VA:N/SC:H/SI:H/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
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.
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.