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CVE-2025-7934: SQL Injection in fuyang_lipengjun platform

Medium
VulnerabilityCVE-2025-7934cvecve-2025-7934
Published: Mon Jul 21 2025 (07/21/2025, 18:32:10 UTC)
Source: CVE Database V5
Vendor/Project: fuyang_lipengjun
Product: platform

Description

A vulnerability, which was classified as critical, has been found in fuyang_lipengjun platform up to ca9aceff6902feb7b0b6bf510842aea88430796a. This issue affects the function queryPage of the file platform-schedule/src/main/java/com/platform/controller/ScheduleJobController.java. The manipulation of the argument beanName leads to sql injection. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used. This product does not use versioning. This is why information about affected and unaffected releases are unavailable.

AI-Powered Analysis

AILast updated: 07/21/2025, 19:01:13 UTC

Technical Analysis

CVE-2025-7934 is a SQL Injection vulnerability identified in the fuyang_lipengjun platform, specifically affecting the function queryPage within the ScheduleJobController.java file located at platform-schedule/src/main/java/com/platform/controller/. The vulnerability arises due to improper sanitization or validation of the 'beanName' argument, which is directly used in SQL queries. This flaw allows an attacker to manipulate the SQL query logic remotely without requiring user interaction or elevated privileges beyond limited privileges (PR:L). The vulnerability is classified as medium severity with a CVSS 4.0 score of 5.3, reflecting moderate impact and exploitability. The attack vector is network-based (AV:N), with low attack complexity (AC:L), no authentication required (AT:N), and no user interaction needed (UI:N). The vulnerability impacts confidentiality, integrity, and availability to a limited extent (VC:L, VI:L, VA:L), indicating potential for data leakage, unauthorized data modification, or disruption of service, but not complete system compromise. The platform does not use versioning, making it difficult to determine unaffected releases, and no official patches are currently available. Although no known exploits are reported in the wild, public disclosure of the exploit code increases the risk of exploitation. The vulnerability's presence in a scheduling job controller suggests that successful exploitation could allow attackers to execute arbitrary SQL commands, potentially leading to unauthorized data access or manipulation within the platform's database.

Potential Impact

For European organizations using the fuyang_lipengjun platform, this vulnerability poses a moderate risk. Exploitation could lead to unauthorized access to sensitive scheduling or operational data, potentially disrupting business processes or exposing confidential information. Given the platform's role in managing scheduled jobs, attackers might alter or delete scheduled tasks, impacting system availability or causing operational delays. The medium severity indicates that while the threat is not critical, it still requires prompt attention to prevent data breaches or service interruptions. Organizations in sectors with stringent data protection requirements, such as finance, healthcare, or government, could face compliance risks if this vulnerability is exploited. Additionally, the lack of versioning and patches complicates vulnerability management and remediation efforts, increasing exposure time. The remote attack vector and absence of required user interaction make this vulnerability more accessible to attackers, raising the urgency for European entities to assess their exposure and implement mitigations.

Mitigation Recommendations

European organizations should undertake the following specific actions: 1) Conduct an immediate audit to identify deployments of the fuyang_lipengjun platform, focusing on versions up to ca9aceff6902feb7b0b6bf510842aea88430796a. 2) Implement input validation and sanitization controls at the application level for the 'beanName' parameter to prevent malicious SQL payloads. 3) Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting the ScheduleJobController endpoints. 4) Restrict database user privileges associated with the platform to the minimum necessary, limiting the impact of potential SQL injection exploitation. 5) Monitor application logs and network traffic for unusual query patterns or repeated access attempts to the vulnerable function. 6) Engage with the vendor or community to obtain or develop patches or updates addressing this vulnerability, and plan for timely deployment once available. 7) Where feasible, isolate the platform within segmented network zones to reduce exposure. 8) Educate development and operations teams about secure coding practices to prevent similar injection flaws in future releases.

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Technical Details

Data Version
5.1
Assigner Short Name
VulDB
Date Reserved
2025-07-21T06:41:36.099Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 687e8afda83201eaac128fde

Added to database: 7/21/2025, 6:46:21 PM

Last enriched: 7/21/2025, 7:01:13 PM

Last updated: 8/18/2025, 1:22:24 AM

Views: 22

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