CVE-2026-9312 (GCVE-0-2026-9312)
Vulnerability from cvelistv5 – Published: 2026-05-27 00:02 – Updated: 2026-06-30 20:53
VLAI
EPSS
VEX
Title
Server-Side Request Forgery vulnerability in GitHub Enterprise Server allowed access to internal services via path traversal in upload endpoint
Summary
A server-side request forgery (SSRF) vulnerability was identified in GitHub Enterprise Server that allowed an unauthenticated attacker to send crafted requests to internal services by exploiting insufficient input validation in an upload endpoint. By injecting path traversal content into request parameters, an attacker could bypass the intended request flow and redirect internal API calls, potentially accessing internal services and exposing sensitive credentials. This vulnerability affected all versions of GitHub Enterprise Server prior to 3.22 and was fixed in versions 3.17.17, 3.18.11, 3.19.8, 3.20.4, and 3.21.2. This vulnerability was reported via the GitHub Bug Bounty program.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://docs.github.com/en/enterprise-server@3.17… | release-notes |
| https://docs.github.com/en/enterprise-server@3.18… | release-notes |
| https://docs.github.com/en/enterprise-server@3.19… | release-notes |
| https://docs.github.com/en/enterprise-server@3.20… | release-notes |
| https://docs.github.com/en/enterprise-server@3.21… | release-notes |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| GitHub | Enterprise Server |
Affected:
3.16.0 , ≤ 3.16.19
(semver)
Affected: 3.17.0 , ≤ 3.17.16 (semver) Affected: 3.18.0 , ≤ 3.18.10 (semver) Affected: 3.19.0 , ≤ 3.19.7 (semver) Affected: 3.20.0 , ≤ 3.20.3 (semver) Affected: 3.21.0 , < 3.21.1 (semver) |
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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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