GHSA-fjxv-7rqg-78g4 — form-data
Fix: form-data/form-data@3d17230GHSA-fjxv-7rqg-78g4 is a Insufficient Random Values vulnerability in form-data. 1 public exploit reference exists, so weaponization risk is real. A fix is available for form-data — see the affected versions and patch details below.
form-data uses unsafe random function in form-data for choosing boundary
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
- A successful exploit gives an attacker total control of the affected component, not partial access.
Exploitation and automatability from CISA’s SSVC triage for GHSA-fjxv-7rqg-78g4.
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Real-World Exposure
How broadly this vulnerability is actually deployed: weekly install volume shows current usage, and reverse-dependency count shows how many other packages break if it stays unpatched.
form-datanpmDescription
Summary
form-data uses Math.random() to select a boundary value for multipart form-encoded data. This can lead to a security issue if an attacker:
- can observe other values produced by Math.random in the target application, and
- can control one field of a request made using form-data
Because the values of Math.random() are pseudo-random and predictable (see: https://blog.securityevaluators.com/hacking-the-javascript-lottery-80cc437e3b7f), an attacker who can observe a few sequential values can determine the state of the PRNG and predict future values, includes those used to generate form-data's boundary value. The allows the attacker to craft a value that contains a boundary value, allowing them to inject additional parameters into the request.
This is largely the same vulnerability as was recently found in undici by parrot409 -- I'm not affiliated with that researcher but want to give credit where credit is due! My PoC is largely based on their work.
Details
The culprit is this line here: https://github.com/form-data/form-data/blob/426ba9ac440f95d1998dac9a5cd8d738043b048f/lib/form_data.js#L347
An attacker who is able to predict the output of Math.random() can predict this boundary value, and craft a payload that contains the boundary value, followed by another, fully attacker-controlled field. This is roughly equivalent to any sort of improper escaping vulnerability, with the caveat that the attacker must find a way to observe other Math.random() values generated by the application to solve for the state of the PRNG. However, Math.random() is used in all sorts of places that might be visible to an attacker (including by form-data itself, if the attacker can arrange for the vulnerable application to make a request to an attacker-controlled server using form-data, such as a user-controlled webhook -- the attacker could observe the boundary values from those requests to observe the Math.random() outputs). A common example would be a x-request-id header added by the server. These sorts of headers are often used for distributed tracing, to correlate errors across the frontend and backend. Math.random() is a fine place to get these sorts of IDs (in fact, opentelemetry uses Math.random for this purpose)
PoC
PoC here: https://github.com/benweissmann/CVE-2025-7783-poc
Instructions are in that repo. It's based on the PoC from https://hackerone.com/reports/2913312 but simplified somewhat; the vulnerable application has a more direct side-channel from which to observe Math.random() values (a separate endpoint that happens to include a randomly-generated request ID).
Impact
For an application to be vulnerable, it must:
- Use
form-datato send data including user-controlled data to some other system. The attacker must be able to do something malicious by adding extra parameters (that were not intended to be user-controlled) to this request. Depending on the target system's handling of repeated parameters, the attacker might be able to overwrite values in addition to appending values (some multipart form handlers deal with repeats by overwriting values instead of representing them as an array) - Reveal values of Math.random(). It's easiest if the attacker can observe multiple sequential values, but more complex math could recover the PRNG state to some degree of confidence with non-sequential values.
If an application is vulnerable, this allows an attacker to make arbitrary requests to internal systems.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 📦npm | form-data | all versions | 2.5.4npm install form-data@2.5.4 |
| 📦npm | form-data | ≥ 3.0.0&&< 3.0.4 | 3.0.4npm install form-data@3.0.4 |
| 📦npm | form-data | ≥ 4.0.0&&< 4.0.4 | 4.0.4npm install form-data@4.0.4 |
Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for form-data, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update form-data to 2.5.4 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-fjxv-7rqg-78g4 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-fjxv-7rqg-78g4 can be triaged on real exposure rather than presence alone.
Tailored to GHSA-fjxv-7rqg-78g4. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Fixing This On Your OS
If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.
This flaw does not affect host systems. The impact of this vulnerability is limited to specific applications which integrate the `form-data` library. As a result the impact of this CVE is limited on RedHat systems.
| Product | Fixed in | Advisory |
|---|---|---|
| Cryostat 4 on RHEL 9 | cryostat/cryostat-agent-init-rhel9:0.5.2-3 | RHSA-2025:14919 |
| multicluster engine for Kubernetes 2.7 for RHEL 8 | multicluster-engine-assisted-service-8-container-v2.7.6-2 | RHSA-2025:18278 |
| multicluster engine for Kubernetes 2.8 for RHEL 8 | multicluster-engine-assisted-service-8-container-v2.8.3-14 | RHSA-2025:16101 |
| Red Hat Advanced Cluster Management for Kubernetes 2.12 for RHEL 9 | acm-cli-container-v2.12.5-4 | RHSA-2025:18744 |
| Red Hat Advanced Cluster Management for Kubernetes 2.13 for RHEL 9 | acm-cli-container-v2.13.4-14 | RHSA-2025:16113 |
| Cluster Observability Operator 1.3.1 | cluster-observability-operator/korrel8r-rhel9:1.3.0-1762808264 | RHSA-2025:21146 |
| multicluster engine for Kubernetes 2.6 | multicluster-engine/console-mce-rhel9:v2.6 | RHSA-2025:23528 |
| multicluster engine for Kubernetes 2.9 | multicluster-engine/console-mce-rhel9:v2.9 | RHSA-2025:19332 |
Frequently Asked Questions
Is GHSA-fjxv-7rqg-78g4 in your dependencies?
O3 Security finds GHSA-fjxv-7rqg-78g4 across npm dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.