Axios up to 1.13.1 lib/adapters/http.js Http2Sessions.getSession resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Axios up to 1.13.1. It has been classified as problematic. This vulnerability affects the function Http2Sessions.getSession in the library lib/adapters/http.js. The manipulation leads to resource consumption.
This vulnerability is traded as CVE-2026-39865. It is possible to initiate the attack remotely. There is no exploit available.
Upgrading the affected component is recommended.
Details
A vulnerability, which was classified as problematic, has been found in Axios up to 1.13.1. This issue affects the function Http2Sessions.getSession in the library lib/adapters/http.js. The manipulation with an unknown input leads to a resource consumption vulnerability. Using CWE to declare the problem leads to CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. Impacted is availability. The summary by CVE is:
Axios is a promise based HTTP client for the browser and Node.js. Prior to 1.13.2, Axios HTTP/2 session cleanup logic contains a state corruption bug that allows a malicious server to crash the client process through concurrent session closures. The vulnerability exists in the Http2Sessions.getSession() method in lib/adapters/http.js. The session cleanup logic contains a control flow error when removing sessions from the sessions array. This vulnerability is fixed in 1.13.2.
The advisory is shared at github.com. The identification of this vulnerability is CVE-2026-39865 since 04/07/2026. The exploitation is known to be difficult. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
The vulnerability scanner Nessus provides a plugin with the ID 305611 (Linux Distros Unpatched Vulnerability : CVE-2026-39865), which helps to determine the existence of the flaw in a target environment.
Upgrading to version 1.13.2 eliminates this vulnerability.
The vulnerability is also documented in the databases at Tenable (305611) and CERT Bund (WID-SEC-2026-1127). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Affected
- IBM App Connect Enterprise
Product
Name
Version
Website
- Product: https://github.com/axios/axios/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.8VulDB Meta Temp Score: 4.7
VulDB Base Score: 3.7
VulDB Temp Score: 3.6
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 5.9
CNA Vector (GitHub_M): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: 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: 305611
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2026-39865
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Axios 1.13.2
Timeline
04/07/2026 CVE reserved04/08/2026 Advisory disclosed
04/08/2026 VulDB entry created
04/15/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-39865 (🔒)
GCVE (CVE): GCVE-0-2026-39865
GCVE (VulDB): GCVE-100-356249
CERT Bund: WID-SEC-2026-1127 - IBM App Connect Enterprise Certified Container (axios): Schwachstelle ermöglicht Denial of Service
Entry
Created: 04/08/2026 17:20Updated: 04/15/2026 12:38
Changes: 04/08/2026 17:20 (64), 04/13/2026 03:06 (2), 04/15/2026 12:38 (7)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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