Axios has Transitive Critical Vulnerability via form-data — Predictable Boundary Values (CVE-2025-7783)

链接： https://github.com/advisories/GHSA-rm8p-cx58-hcvx

仓库 Star： 107273

CVSS 评分： 7.5

参考链接：

描述：

Summary

A critical vulnerability exists in the form-data package used by axios@1.10.0. 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 form-data@4.0.0 is used by axios@1.10.0 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 axios@1.10.0 pulls in form-data@4.0.0, it is exposed to this issue.

PoC

Install Axios: - npm install axios@1.10.0
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 form-data@4.0.0 via axios@1.10.0 > form-data@4.0.0

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 axios@1.10.0 to submit multipart form-data

This could potentially allow attackers to: