CVE-2024-8770
Sept. 27, 2024, 1:49 p.m.
6.1
Medium
Description
A Cross-Site Scripting (XSS) vulnerability was identified in the repository transfer feature of GitHub Enterprise Server, which allows attackers to steal sensitive user information via social engineering. This vulnerability affected all versions of GitHub Enterprise Server and was fixed in version 3.10.17, 3.11.15, 3.12.9, 3.13.4, and 3.14.1. This vulnerability was reported via the GitHub Bug Bounty program.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Github |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | github | enterprise_server | / | / | / | / | / | / | / | / |
| a | github | enterprise_server | / | / | / | / | / | / | / | / |
| a | github | enterprise_server | / | / | / | / | / | / | / | / |
| a | github | enterprise_server | / | / | / | / | / | / | / | / |
| a | github | enterprise_server | 3.14.0 | / | / | / | / | / | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: CHANGED
- Confidentiality Impact: LOW
- Integrity Impact: LOW
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
Timeline
Published: Sept. 23, 2024, 9:15 p.m.
Last Modified: Sept. 27, 2024, 1:49 p.m.
Last Modified: Sept. 27, 2024, 1:49 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
product-cna@github.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.