Summary

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]

3. 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