CVE-2026-8034 (GCVE-0-2026-8034)
Vulnerability from cvelistv5 – Published: 2026-05-07 21:18 – Updated: 2026-05-08 13:03
VLAI
EPSS
VEX
Title
Server-side request forgery vulnerability in GitHub Enterprise Server notebook viewer via URL parser confusion
Summary
A server-side request forgery (SSRF) vulnerability was identified in the GitHub Enterprise Server notebook viewer that allowed an attacker to access internal services by exploiting URL parser confusion between the validation layer and the HTTP request library. The hostname validation used a different URL parser than the request library, enabling a crafted URL to pass validation while directing the request to an unintended host. Exploitation required network access to the GitHub Enterprise Server instance. This vulnerability affected all versions of GitHub Enterprise Server prior to 3.21 and was fixed in versions 3.16.18, 3.17.15, 3.18.9, 3.19.6, and 3.20.2. This vulnerability was reported via the GitHub Bug Bounty program.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-08 13:02 UTC
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://docs.github.com/en/enterprise-server@3.16… | release-notes |
| 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 |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| GitHub | Enterprise Server |
Affected:
3.16.0 , ≤ 3.16.17
(semver)
Affected: 3.17.0 , ≤ 3.17.14 (semver) Affected: 3.18.0 , ≤ 3.18.8 (semver) Affected: 3.19.0 , ≤ 3.19.5 (semver) Affected: 3.20.0 , ≤ 3.20.1 (semver) Unaffected: 3.21.0 (semver) |
guessed |
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"attackVector": "NETWORK",
"baseScore": 7.9,
"baseSeverity": "HIGH",
"exploitMaturity": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "HIGH",
"subConfidentialityImpact": "HIGH",
"subIntegrityImpact": "HIGH",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-918",
"description": "CWE-918 Server-Side request forgery (SSRF)",
"lang": "en",
"type": "CWE"
},
{
"cweId": "CWE-436",
"description": "CWE-436 Interpretation Conflict",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-05-07T21:18:49.812Z",
"orgId": "82327ea3-741d-41e4-88f8-2cf9e791e760",
"shortName": "GitHub_P"
},
"references": [
{
"tags": [
"release-notes"
],
"url": "https://docs.github.com/en/enterprise-server@3.16/admin/release-notes#3.16.18"
},
{
"tags": [
"release-notes"
],
"url": "https://docs.github.com/en/enterprise-server@3.17/admin/release-notes#3.17.15"
},
{
"tags": [
"release-notes"
],
"url": "https://docs.github.com/en/enterprise-server@3.18/admin/release-notes#3.18.9"
},
{
"tags": [
"release-notes"
],
"url": "https://docs.github.com/en/enterprise-server@3.19/admin/release-notes#3.19.6"
},
{
"tags": [
"release-notes"
],
"url": "https://docs.github.com/en/enterprise-server@3.20/admin/release-notes#3.20.2"
}
],
"source": {
"discovery": "EXTERNAL"
},
"title": "Server-side request forgery vulnerability in GitHub Enterprise Server notebook viewer via URL parser confusion",
"x_generator": {
"engine": "Vulnogram 0.2.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "82327ea3-741d-41e4-88f8-2cf9e791e760",
"assignerShortName": "GitHub_P",
"cveId": "CVE-2026-8034",
"datePublished": "2026-05-07T21:18:49.812Z",
"dateReserved": "2026-05-06T13:06:48.690Z",
"dateUpdated": "2026-05-08T13:03:12.627Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
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.
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.