anji-plus AJ-Report up to 1.7.1 testTransform endpoint improper authentication

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 (≈)
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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.
8.4$0-$5k2.93+

Summaryinfo

A vulnerability identified as critical has been detected in anji-plus AJ-Report up to 1.7.1. Affected is an unknown function of the component testTransform endpoint. This manipulation causes improper authentication. This vulnerability is handled as CVE-2026-120209. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability classified as critical was found in anji-plus AJ-Report up to 1.7.1. Affected by this vulnerability is some unknown functionality of the component testTransform endpoint. The manipulation with an unknown input leads to a improper authentication vulnerability. The CWE definition for the vulnerability is CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

AJ-Report through 1.7.1 signs share tokens with a hard-coded JWT secret, allowing attackers to forge valid Share-Tokens offline. Attackers can mint a token with reportCode 'dataSet' to access the testTransform endpoint, which passes scripts to GroovyClassLoader for unauthenticated remote code execution.

It is possible to read the advisory at gitee.com. This vulnerability is known as CVE-2026-120209 since 10/31/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/31/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-114730). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.4

VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 9.8
CNA Vector (VulnCheck): 🔒

CVSSv2info

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

Exploitinginfo

Class: Improper authentication
CWE: CWE-287
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: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

10/31/2026 Advisory disclosed
10/31/2026 +0 days CVE reserved
10/31/2026 +0 days VulDB entry created
10/31/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: gitee.com
Status: Not defined

CNA: VulnCheck
CVE: CVE-2026-120209 (🔒)

GCVE (CVE): GCVE-0-2026-120209
GCVE (VulDB): GCVE-100-429571
EUVD: 🔒

Entryinfo

Created: 10/31/2026 18:47
Updated: 10/31/2026 20:18
Changes: 10/31/2026 18:47 (75), 10/31/2026 20:18 (2)
Complete: 🔍
Cache ID: 216::103

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

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