CVE-2026-44971
Received Received - Intake
BaseFortify

Publication date: 2026-05-27

Last updated on: 2026-05-27

Assigner: GitHub, Inc.

Description
GuardDog is a CLI tool to identify malicious PyPI packages. From 1.0.0 to 2.9.0, the programmatic remote project scanning path rewrites attacker-controlled repository URLs using a blind string replacement and then sends the caller's GitHub credentials with the resulting request. This allows an attacker who can influence the scanned repository URL to trigger SSRF and capture the GH_TOKEN used by GuardDog. This vulnerability is fixed in .
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Meta Information
Published
2026-05-27
Last Modified
2026-05-27
Generated
2026-05-27
AI Q&A
2026-05-27
EPSS Evaluated
N/A
NVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
guarddog guarddog From 1.0.0 (inc) to 2.9.0 (inc)
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
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.
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?

The vulnerability exists in GuardDog, a CLI tool used to identify malicious PyPI packages. From versions 1.0.0 to 2.9.0, the tool rewrites attacker-controlled repository URLs using a blind string replacement method. When doing so, it sends the caller's GitHub credentials along with the request. This flaw allows an attacker who can influence the scanned repository URL to trigger a Server-Side Request Forgery (SSRF) attack and capture the GitHub token (GH_TOKEN) used by GuardDog.


How can this vulnerability impact me? :

This vulnerability can lead to unauthorized access to your GitHub credentials (GH_TOKEN) if an attacker can manipulate the repository URL being scanned. With the stolen token, an attacker could potentially access or manipulate your GitHub resources, leading to compromised code repositories, unauthorized actions, or data exposure.


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