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HomeCVEsCVE-2025-54371

CVE-2025-54371

Published: February 7, 2026
Last updated:17 hours ago (February 7, 2026)
Exploit: NoZero-day: NoPatch: NoTrend: Neutral
TL;DR
Updated February 7, 2026

CVE-2025-54371 is a low severity vulnerability with a CVSS score of 0.0. No known public exploits at this time.

Key Points
  • 1Low severity (CVSS 0.0/10)
  • 2No known public exploits
  • 3No official patches released yet
Severity Scores
CVSS v30.0
CVSS v20.0
Priority Score0.0
EPSS Score0.0
None
Exploitation LikelihoodMinimal
0.00%EPSS

Very low probability of exploitation

Monitor and patch as resources allow
0.00%
EPSS
0.0
CVSS
No
Exploit
No
Patch
Medium Priority
no patch

EPSS predicts the probability of exploitation in the next 30 days based on real-world threat data, complementing CVSS severity scores with actual risk assessment.

Description

Withdrawn Advisory

This advisory has been withdrawn because users of Axios 1.10.0 have the flexibility to use a patched version of form-data, the software in which the vulnerability originates, without upgrading Axios to address GHSA-fjxv-7rqg-78g4.

Original Description

A critical vulnerability exists in the form-data package used by [email protected]. The issue allows an attacker to predict multipart boundary values generated using Math.random(), opening the door to HTTP parameter pollution or injection attacks.

This was submitted in issue #6969 and addressed in pull request #6970.

Details

The vulnerable package [email protected] is used by [email protected] as a transitive dependency. It uses non-secure, deterministic randomness (Math.random()) to generate multipart boundary strings.

This flaw is tracked under Snyk Advisory SNYK-JS-FORMDATA-10841150 and CVE-2025-7783.

Affected form-data versions:

  • <2.5.4
  • =3.0.0 <3.0.4

  • =4.0.0 <4.0.4

Since [email protected] pulls in [email protected], it is exposed to this issue.

PoC

  1. Install Axios: - npm install [email protected] 2.Run snyk test:
Tested 104 dependencies for known issues, found 1 issue, 1 vulnerable path.

✗ Predictable Value Range from Previous Values [Critical Severity]
in [email protected] via [email protected] > [email protected]

  1. Trigger a multipart/form-data request. Observe the boundary header uses predictable random values, which could be exploited in a targeted environment.

Impact

  • Vulnerability Type: Predictable Value / HTTP Parameter Pollution
  • Risk: Critical (CVSS 9.4)
  • Impacted Users: Any application using [email protected] to submit multipart form-data

This could potentially allow attackers to:

  • Interfere with multipart request parsing
  • Inject unintended parameters
  • Exploit backend deserialization logic depending on content boundaries

Related Links

GitHub Issue #6969

Pull Request #xxxx (replace with actual link)

Snyk Advisory

form-data on npm

CVSS v3 Breakdown
Attack Vector:-
Attack Complexity:-
Privileges Required:-
User Interaction:-
Scope:-
Confidentiality:-
Integrity:-
Availability:-
Trend Analysis
Neutral
Advisories
GitHub Advisory
NVD: Rejected reason: This CVE is a duplicate of another CVE.
Cite This Page
APA Format
Strobes VI. (2026). CVE-2025-54371 - CVE Details and Analysis. Strobes VI. Retrieved February 8, 2026, from https://vi.strobes.co/cve/CVE-2025-54371
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