Axios up to 0.31.0/1.15.0 allocation of resources

CVSS Meta Temp Score
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CTI Interest Score
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5.2$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, has been found in Axios up to 0.31.0/1.15.0. Impacted is an unknown function. The manipulation leads to allocation of resources. This vulnerability is uniquely identified as CVE-2026-42036. The attack is possible to be carried out remotely. No exploit exists. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in Axios up to 0.31.0/1.15.0. This issue affects an unknown functionality. The manipulation with an unknown input leads to a allocation of resources vulnerability. Using CWE to declare the problem leads to CWE-770. The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor. Impacted is availability. The summary by CVE is:

Axios is a promise based HTTP client for the browser and Node.js. Prior to 1.15.1 and 0.31.1, when responseType: 'stream' is used, Axios returns the response stream without enforcing maxContentLength. This bypasses configured response-size limits and allows unbounded downstream consumption. This vulnerability is fixed in 1.15.1 and 0.31.1.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-42036 since 04/23/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

The vulnerability scanner Nessus provides a plugin with the ID 313224 (Node.js Module axios < 1.15.1 Multiple Vulnerabilities), which helps to determine the existence of the flaw in a target environment.

Upgrading to version 0.31.1 or 1.15.1 eliminates this vulnerability.

The vulnerability is also documented in the databases at Tenable (313224), EUVD (EUVD-2026-25602) and CERT Bund (WID-SEC-2026-1687). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Affected

  • IBM License Metric Tool

Productinfo

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 5.2

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 5.3
CNA Vector (GitHub_M): 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Allocation of resources
CWE: CWE-770 / CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Nessus ID: 313224
Nessus Name: Node.js Module axios < 1.15.1 Multiple Vulnerabilities

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: Axios 0.31.1/1.15.1

Timelineinfo

04/23/2026 CVE reserved
04/24/2026 +1 days Advisory disclosed
04/24/2026 +0 days VulDB entry created
05/28/2026 +34 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-vf2m-468p-8v99
Status: Confirmed

CVE: CVE-2026-42036 (🔒)
GCVE (CVE): GCVE-0-2026-42036
GCVE (VulDB): GCVE-100-359507
EUVD: 🔒
CERT Bund: WID-SEC-2026-1687 - IBM License Metric Tool: Mehrere Schwachstellen erm&ouml;glichen nicht spezifizierten Angriff

Entryinfo

Created: 04/24/2026 20:45
Updated: 05/28/2026 08:09
Changes: 04/24/2026 20:45 (62), 04/24/2026 22:47 (1), 05/09/2026 04:56 (2), 05/28/2026 08:09 (7)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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