CVE-2025-10105
Unknown Unknown - Not Provided
BaseFortify

Publication date: 2025-09-08

Last updated on: 2026-04-29

Assigner: VulDB

Description
A flaw has been found in yanyutao0402 ChanCMS up to 3.3.1. Affected by this issue is some unknown functionality of the file /cms/article/search. This manipulation of the argument keyword causes sql injection. The attack can be initiated remotely. The exploit has been published and may be used.
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Meta Information
Published
2025-09-08
Last Modified
2026-04-29
Generated
2026-06-16
AI Q&A
2025-09-09
EPSS Evaluated
2026-06-14
NVD
EUVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
chancms chancms to 3.3.1 (inc)
Helpful Resources
Exploitability
CWE
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KEV
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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.
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Executive Summary

This vulnerability is a SQL injection flaw found in the yanyutao0402 ChanCMS software up to version 3.3.1. It occurs in the /cms/article/search file where the 'keyword' argument can be manipulated by an attacker. This allows the attacker to inject malicious SQL code remotely, potentially compromising the database.

Impact Analysis

The vulnerability can allow a remote attacker to execute arbitrary SQL commands on the affected system's database. This can lead to unauthorized data access, data modification, or deletion, potentially compromising the integrity, confidentiality, and availability of the data.

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