CVE-2025-11904
Unknown
Unknown - Not Provided
BaseFortify
Publication date: 2025-10-17
Last updated on: 2026-04-29
Assigner: VulDB
Description
Description
A vulnerability has been found in yanyutao0402 ChanCMS up to 3.3.2. This affects the function hasUse of the file /cms/model/hasUse. The manipulation of the argument ID leads to sql injection. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| chancms | chancms | to 3.3.2 (inc) |
Helpful Resources
Exploitability
CWE
KEV
| 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
Can you explain this vulnerability to me?
This vulnerability is a SQL injection in the yanyutao0402 ChanCMS software up to version 3.3.2. It occurs in the function hasUse within the file /cms/model/hasUse. An attacker can manipulate the argument ID to inject malicious SQL code. The attack can be performed remotely, and the exploit has been publicly disclosed.
How can this vulnerability impact me? :
The vulnerability allows an attacker to perform SQL injection remotely, which can lead to unauthorized access to or manipulation of the database. This can result in data leakage, data corruption, or disruption of service.
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