GitHub Enterprise Server up to 3.22.0 Notebook Viewer server-side request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.0 | $0-$5k | 0.72 |
Summary
A vulnerability identified as critical has been detected in GitHub Enterprise Server up to 3.22.0. Affected by this issue is some unknown functionality of the component Notebook Viewer. This manipulation causes server-side request forgery. The identification of this vulnerability is CVE-2026-77987. It is possible to initiate the attack remotely. There is no exploit available. You should upgrade the affected component.
Details
A vulnerability has been found in GitHub Enterprise Server up to 3.22.0 and classified as critical. Affected by this vulnerability is some unknown functionality of the component Notebook Viewer. The manipulation with an unknown input leads to a server-side request forgery vulnerability. The CWE definition for the vulnerability is CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
A server-side request forgery (SSRF) vulnerability was identified in the notebook viewer of GitHub Enterprise Server. The notebook viewer validated the scheme and host of a user-supplied URL but did not validate the port, allowing requests to be directed to internal services listening on other ports of the same appliance. Response bodies were not returned to the requester, but response timing acted as an oracle that allowed instance secrets to be extracted character by character. An extracted secret could then be used in a separate interaction with an internal service to obtain remote code execution on the appliance. Exploitation required network access to the instance and was unauthenticated when private mode was disabled, or required any authenticated user when private mode was enabled. This vulnerability affected GitHub Enterprise Server versions 3.17 through 3.22 and was fixed in versions 3.22.1, 3.21.6, 3.20.8, 3.19.12, 3.18.15, and 3.17.21. This vulnerability was reported through the GitHub Bug Bounty program.
It is possible to read the advisory at docs.github.com. This vulnerability is known as CVE-2026-77987 since 08/21/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available.
Upgrading to version 3.17.21, 3.18.15, 3.19.12, 3.20.8, 3.21.6 or 3.22.1 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.0
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Server-side request forgeryCWE: CWE-918
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Enterprise Server 3.17.21/3.18.15/3.19.12/3.20.8/3.21.6/3.22.1
Timeline
08/21/2026 CVE reserved09/22/2026 Advisory disclosed
09/22/2026 VulDB entry created
09/22/2026 VulDB entry last update
Sources
Advisory: docs.github.comStatus: Confirmed
CVE: CVE-2026-77987 (🔒)
GCVE (CVE): GCVE-0-2026-77987
GCVE (VulDB): GCVE-100-408739
Entry
Created: 09/22/2026 23:05Changes: 09/22/2026 23:05 (68)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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