Skip to content

Axios: Deep formToJSON Key Recursion Can Cause Denial of Service

Moderate severity GitHub Reviewed Published Jul 6, 2026 in axios/axios • Updated Aug 31, 2026

Package

npm axios (npm)

Affected versions

>= 0.28.0, < 0.33.0
>= 1.0.0, < 1.18.0

Patched versions

0.33.0
1.18.0

Description

Summary

Axios versions starting with 0.28.0 contain uncontrolled recursion in formDataToJSON, which is exposed as axios.formToJSON() and used internally when axios serialises FormData with Content-Type: application/json.

If an application passes attacker-controlled FormData field names to this functionality, a field name with thousands of nested bracket segments can exhaust the JavaScript call stack and cause denial of service for that request or, in applications without appropriate error handling, process termination.

Impact

Applications are affected only when untrusted users can control FormData key names that are converted through axios.

Affected paths include direct use of axios.formToJSON() on untrusted FormData and axios requests in which attacker-controlled FormData is sent with Content-Type: application/json.

The observed failure is RangeError: Maximum call stack size exceeded. In local testing, this error is catchable, so process-wide crash depends on the consuming application's error handling and runtime behaviour.

Affected Functionality

Affected functionality:

  • axios.formToJSON(formData)
  • Named ESM export formToJSON
  • Default transformRequest behaviour for FormData when Content-Type contains application/json

Unaffected functionality:

  • Normal multipart FormData submission without JSON serialisation
  • toFormData, which already enforces a maxDepth guard
  • Axios versions <=0.27.2, where formDataToJSON was not present

Technical Details

The vulnerable code is in lib/helpers/formDataToJSON.js.

parsePropPath() splits a field name such as a[x][x][x] into path segments. buildPath() then recursively processes one segment per call without enforcing a maximum depth:

const result = buildPath(path, value, target[name], index);

A key with thousands of bracket-delimited segments causes thousands of recursive calls and can exceed the JavaScript engine's call stack limit.

Relevant source locations:

  • lib/helpers/formDataToJSON.js contains the unbounded recursive buildPath().
  • lib/axios.js exposes the helper as axios.formToJSON.
  • index.js exposes formToJSON as a named export.
  • index.d.ts and index.d.cts declare the public API.
  • lib/defaults/index.js calls formDataToJSON(data) when JSON-serializing FormData.

The inverse helper, toFormData, already enforces maxDepth and throws AxiosError with ERR_FORM_DATA_DEPTH_EXCEEDED, but formDataToJSON does not have an equivalent guard.

Proof of Concept of Attack

import axios from 'axios';

const fd = new FormData();
fd.append('a' + '[x]'.repeat(15000), 'value');

try {
  axios.formToJSON(fd);
  console.log('not vulnerable');
} catch (e) {
  console.log(`${e.constructor.name}: ${e.message}`);
}

Expected result on affected versions:

RangeError: Maximum call stack size exceeded

The same condition can be reached via an axios request transformation when attacker-controlled FormData is sent with Content-Type: application/json.

Workarounds

Applications can reject or normalise untrusted form field names before calling axios.formToJSON().

Applications can avoid sending untrusted FormData through axios as JSON unless JSON conversion is required.

Applications should catch errors around formToJSON() or axios requests that transform untrusted FormData.

Original Source

Summary

An uncontrolled recursion vulnerability in formDataToJSON allows any user who controls FormData input to crash a Node.js process with a single request. The function recurses once per bracket-delimited segment in a FormData key name with no depth limit, so a key like a[x][x][x]... with 15,000+ segments exhausts the call stack. This is a denial-of-service that kills the process via an unrecoverable RangeError. The inverse function toFormData already enforces a maxDepth limit (default 100) for exactly this reason — formDataToJSON lacks the equivalent guard.

Details

Vulnerable function: buildPath in lib/helpers/formDataToJSON.js, lines 50–82.

buildPath(path, value, target, index) is called recursively — once per segment in the parsed property path — with no depth check:

// lib/helpers/formDataToJSON.js, lines 50–82
function buildPath(path, value, target, index) {
  let name = path[index++];              // advance one level
  if (name === '__proto__') return true;
  // ...
  if (!isLast) {
    // ...
    const result = buildPath(path, value, target[name], index);  // recurse — NO depth guard
    // ...
  }
}

The key is first split into segments by parsePropPath (line 17), which extracts every [segment] via regex. A key with 15,000 bracket pairs produces a 15,001-element array, causing 15,001 recursive calls — well beyond the V8 default stack limit (~10,000–15,000 frames).

formDataToJSON is a public API consumed two ways:

  1. Directly by consumers — exported as axios.formToJSON() (lib/axios.js:80), with TypeScript declarations in both index.d.ts:699 and index.d.cts:708, and documented in the API reference in four languages (docs/pages/advanced/api-reference.md).

  2. Internally by transformRequest — called at lib/defaults/index.js:56 when the request body is FormData and Content-Type contains application/json:

    return hasJSONContentType ? JSON.stringify(formDataToJSON(data)) : data;

Contrast with toFormData: The inverse function (lib/helpers/toFormData.js:118) enforces maxDepth (default 100) and throws AxiosError with code ERR_FORM_DATA_DEPTH_EXCEEDED when exceeded. formDataToJSON has no equivalent protection.

PoC

Requires only Node.js and an unmodified axios v1.x install:

import formDataToJSON from 'axios/lib/helpers/formDataToJSON.js';

// Build a FormData with a single key containing 15,000 nested bracket segments
const fd = new FormData();
const key = "a" + "[x]".repeat(15000);
fd.append(key, "value");

try {
  formDataToJSON(fd);
  console.log("Not vulnerable");
} catch (e) {
  console.log(e.constructor.name + ": " + e.message);
  // RangeError: Maximum call stack size exceeded
}

Verified output on Node.js 22.22.3 against axios v1.16.1 (current v1.x HEAD):

RangeError: Maximum call stack size exceeded

The process crashes. In a server context (e.g., Express middleware calling axios.formToJSON() on an uploaded form), a single crafted request terminates the process.

Impact

Denial of Service (process crash). Any unauthenticated user who can submit FormData to a Node.js application that passes it through axios.formToJSON() — or that sends it as a JSON-serialized FormData body via axios — can crash the server process with a single request. The RangeError from stack exhaustion is unrecoverable in many contexts (it cannot be reliably caught when the stack is already full). No authentication or special privileges are required; the attacker only needs to control a FormData key name.

### References - https://github.com/axios/axios/security/advisories/GHSA-pmv8-rq9r-6j72 - 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-2026-67312 - https://nvd.nist.gov/vuln/detail/CVE-2026-68941 - https://www.vulncheck.com/advisories/axios-before-denial-of-service-via-formtojson
@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 Aug 31, 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 Low
Attack Requirements Present
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability Low
Subsequent System Impact Metrics
Confidentiality None
Integrity None
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:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/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.
(42nd percentile)

Weaknesses

Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource. Learn more on MITRE.

Allocation of Resources Without Limits or Throttling

The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated. Learn more on MITRE.

CVE ID

CVE-2026-67312

GHSA ID

GHSA-pmv8-rq9r-6j72

Source code

Credits

Loading Checking history
See something to contribute? Suggest improvements for this vulnerability.