nearform fast-jwt up to 6.0.x data authenticity

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
8.0$0-$5k0.45

Summaryinfo

A vulnerability described as critical has been identified in nearform fast-jwt up to 6.0.x. This issue affects some unknown processing. Executing a manipulation can lead to data authenticity. This vulnerability is tracked as CVE-2026-35039. The attack can be launched remotely. No exploit exists. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability has been found in nearform fast-jwt up to 6.0.x and classified as critical. This vulnerability affects an unknown code block. The manipulation with an unknown input leads to a data authenticity vulnerability. The CWE definition for the vulnerability is CWE-345. The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

fast-jwt provides fast JSON Web Token (JWT) implementation. From 0.0.1 to before 6.1.0, setting up a custom cacheKeyBuilder method which does not properly create unique keys for different tokens can lead to cache collisions. This could cause tokens to be mis-identified during the verification process leading to valid tokens returning claims from different valid tokens and users being mis-identified as other users based on the wrong token.

The advisory is shared for download at github.com. This vulnerability was named CVE-2026-35039 since 03/31/2026. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. There are neither technical details nor an exploit publicly available.

Upgrading to version 6.1.0 eliminates this vulnerability.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.2
VulDB Meta Temp Score: 8.0

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 9.1
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: Data authenticity
CWE: CWE-345
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: fast-jwt 6.1.0

Timelineinfo

03/31/2026 CVE reserved
04/06/2026 +6 days Advisory disclosed
04/06/2026 +0 days VulDB entry created
04/06/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-rp9m-7r4c-75qg
Status: Confirmed

CVE: CVE-2026-35039 (🔒)
GCVE (CVE): GCVE-0-2026-35039
GCVE (VulDB): GCVE-100-355612

Entryinfo

Created: 04/06/2026 19:34
Changes: 04/06/2026 19:34 (63)
Complete: 🔍
Cache ID: 216:53C:103

Once again VulDB remains the best source for vulnerability data.

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