Insecure Randomness Affecting org.webjars.npm:undici package, versions [0,]
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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- published22 Jan 2025
- disclosed16 Jan 2025
- creditmcollina
Introduced: 16 Jan 2025
CVE-2025-22150 (opens in a new tab)How to fix?
A fix was pushed into the master branch but not yet published.
Overview
org.webjars.npm:undici is an An HTTP/1.1 client, written from scratch for Node.js
Affected versions of this package are vulnerable to Insecure Randomness due to the use of Math.random(), an insufficiently random value generator, for boundary selection in multipart/form-data requests. An attacker can predict the boundary values and manipulate multipart requests by intercepting and analyzing multiple requests to deduce the random generator pattern.
Note:
This is only exploitable if multipart requests are sent to an attacker-controlled server.