LupinLin1 jimeng-web-mcp 2.1.2 information disclosure

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.
4.7$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in LupinLin1 jimeng-web-mcp 2.1.2. Affected is an unknown function. This manipulation causes information disclosure. This vulnerability appears as CVE-2025-70040. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability has been found in LupinLin1 jimeng-web-mcp 2.1.2 and classified as problematic. Affected by this vulnerability is an unknown code. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:

An issue pertaining to CWE-532: Insertion of Sensitive Information into Log File was discovered in LupinLin1 jimeng-web-mcp v2.1.2. This allows an attacker to obtain sensitive information.

This vulnerability is known as CVE-2025-70040 since 01/09/2026. The exploitation appears to be easy. The attack can be launched remotely. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

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

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: 🔍

CVSSv3info

VulDB Meta Base Score: 4.8
VulDB Meta Temp Score: 4.7

VulDB Base Score: 4.3
VulDB Temp Score: 4.2
VulDB Vector: 🔒
VulDB Reliability: 🔍

ADP CISA Base Score: 5.3
ADP CISA Vector: 🔒

CVSSv2info

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

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
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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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

01/09/2026 CVE reserved
03/09/2026 +59 days Advisory disclosed
03/09/2026 +0 days VulDB entry created
03/12/2026 +3 days VulDB entry last update

Sourcesinfo

Status: Not defined

CVE: CVE-2025-70040 (🔒)
GCVE (CVE): GCVE-0-2025-70040
GCVE (VulDB): GCVE-100-349843

Entryinfo

Created: 03/09/2026 17:23
Updated: 03/12/2026 21:44
Changes: 03/09/2026 17:23 (51), 03/12/2026 21:44 (12)
Complete: 🔍
Cache ID: 216:BC0:103

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

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