CVE-2024-53983
Nov. 29, 2024, 7:15 p.m.
5.4
Medium
Description
The Backstage Scaffolder plugin Houses types and utilities for building scaffolder-related modules. A vulnerability is identified in Backstage Scaffolder template functionality where Server-Side Template Injection (SSTI) can be exploited to perform Git config injection. The vulnerability allows an attacker to capture privileged git tokens used by the Backstage Scaffolder plugin. With these tokens, unauthorized access to sensitive resources in git can be achieved. The impact is considered medium severity as the Backstage Threat Model recommends restricting access to adding and editing templates in the Backstage Catalog plugin. The issue has been resolved in versions `v0.4.12`, `v0.5.1` and `v0.6.1` of the `@backstage/plugin-scaffolder-node` package. Users are encouraged to upgrade to this version to mitigate the vulnerability. Users are advised to upgrade. Users unable to upgrade may ensure that templates do not change git config.
Product(s) Impacted
Product | Versions |
---|---|
@backstage/plugin-scaffolder-node |
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-918
Server-Side Request Forgery (SSRF)
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.
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: HIGH
- Privileges Required: HIGH
- Scope: CHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:H/PR:H/UI:R/S:C/C:H/I:N/A:N
Timeline
Published: Nov. 29, 2024, 7:15 p.m.
Last Modified: Nov. 29, 2024, 7:15 p.m.
Last Modified: Nov. 29, 2024, 7:15 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@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.