CVE-2025-10210
Unknown Unknown - Not Provided
BaseFortify

Publication date: 2025-09-10

Last updated on: 2026-04-29

Assigner: VulDB

Description
A weakness has been identified in yanyutao0402 ChanCMS up to 3.3.0. Impacted is the function Search of the file app/modules/api/service/Api.js. Executing manipulation of the argument key can lead to sql injection. The attack can be launched remotely. The exploit has been made available to the public and could be exploited. The vendor was contacted early about this disclosure but did not respond in any way.
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Meta Information
Published
2025-09-10
Last Modified
2026-04-29
Generated
2026-05-07
AI Q&A
2025-09-10
EPSS Evaluated
2026-05-05
NVD
EUVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
chancms chancms to 3.3.0 (inc)
Helpful Resources
Exploitability
CWE
CWE Icon
KEV
KEV Icon
CWE ID Description
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
CWE-74 The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.
Attack-Flow Graph
AI Powered Q&A
What immediate steps should I take to mitigate this vulnerability?

There are no known vendor-provided mitigations or patches for this vulnerability as the vendor did not respond to the disclosure. Immediate steps include replacing the affected ChanCMS product with an alternative that is not vulnerable. Additionally, you can implement network-level protections such as web application firewalls (WAFs) to detect and block SQL injection attempts targeting the 'key' parameter in the API search function. Restricting access to the vulnerable API endpoints and monitoring for suspicious activity can also help reduce risk until a secure replacement is deployed. [2]


Can you explain this vulnerability to me?

CVE-2025-10210 is a SQL injection vulnerability in ChanCMS versions up to 3.3.0, specifically in the search function of the file app/modules/api/service/Api.js. The vulnerability occurs because the application does not properly validate or sanitize the 'key' argument before using it in an SQL query. This allows an attacker to inject malicious SQL code remotely without authentication, potentially manipulating the database. [1, 2]


How can this vulnerability impact me? :

This vulnerability can impact you by allowing attackers to compromise the confidentiality, integrity, and availability of your system. Through SQL injection, attackers can access, modify, or delete sensitive data in the database, disrupt service availability, and potentially gain unauthorized control over the affected system. Since the exploit is publicly available and requires no authentication, the risk of exploitation is significant. [2]


How can this vulnerability be detected on my network or system? Can you suggest some commands?

This vulnerability can be detected by testing the search function of ChanCMS (version up to 3.3.0) for SQL injection flaws, specifically by manipulating the 'key' parameter in requests to the API endpoint that uses app/modules/api/service/Api.js. Since a public proof-of-concept exploit is available, you can use SQL injection testing tools or manual curl commands to inject SQL payloads into the 'key' argument and observe if the system behaves unexpectedly or returns database errors. For example, you can use curl to send a request with a typical SQL injection payload: curl -G 'http://<target>/api/search' --data-urlencode 'key=1 OR 1=1' and check for abnormal responses or error messages indicating SQL injection. Automated scanners that test for SQL injection vulnerabilities on API endpoints can also be used. [1, 2]


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