CVE-2025-10110: SQL Injection in ChanCMS
A vulnerability was identified in ChanCMS up to 3.3.1. Impacted is an unknown function of the file /search/. The manipulation with the input '%20or%201=1%20%23/words.html leads to sql injection. Remote exploitation of the attack is possible. The exploit is publicly available and might be used.
AI Analysis
Technical Summary
CVE-2025-10110 is a SQL Injection vulnerability identified in ChanCMS versions up to 3.3.1, specifically affecting an unknown function within the /search/ endpoint. The vulnerability arises from improper sanitization of user input, where an attacker can manipulate the input parameter with a payload such as '%20or%201=1%20%23/words.html' to inject malicious SQL code. This injection allows an attacker to alter the intended SQL query logic, potentially bypassing authentication, extracting sensitive data, or modifying database contents. The vulnerability is remotely exploitable without requiring user interaction or authentication, increasing its risk profile. The CVSS v4.0 base score is 5.3, indicating a medium severity level. The vector string (AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P) shows that the attack is network-based with low attack complexity, no user interaction, and requires low privileges, but the impact on confidentiality, integrity, and availability is limited. Although no public exploit is confirmed in the wild, a proof-of-concept exploit is publicly available, which could facilitate exploitation by threat actors. The lack of official patches at the time of publication increases the urgency for mitigation. SQL Injection vulnerabilities are critical because they target the data layer, potentially leading to data breaches or system compromise if chained with other vulnerabilities.
Potential Impact
For European organizations using ChanCMS versions 3.3.0 or 3.3.1, this vulnerability poses a tangible risk of unauthorized data access or manipulation. Given that ChanCMS is a content management system, exploitation could lead to exposure of sensitive business data, user credentials, or intellectual property. This could result in reputational damage, regulatory fines under GDPR for data breaches, and operational disruptions if the database integrity is compromised. The medium severity score reflects limited impact scope, but the ease of remote exploitation without user interaction or authentication increases the threat. Organizations in sectors with high data sensitivity such as finance, healthcare, and government are particularly at risk. Additionally, attackers could leverage this vulnerability as a foothold for further lateral movement or deployment of ransomware. The absence of a patch means organizations must rely on compensating controls until an official fix is released.
Mitigation Recommendations
1. Immediate mitigation should include implementing Web Application Firewall (WAF) rules specifically targeting SQL Injection patterns against the /search/ endpoint to block malicious payloads. 2. Conduct input validation and sanitization on all user inputs at the application level, employing parameterized queries or prepared statements to prevent injection. 3. Restrict database user privileges to the minimum necessary to limit the impact of a successful injection. 4. Monitor application logs and database queries for anomalous patterns indicative of injection attempts. 5. If possible, disable or restrict access to the vulnerable /search/ functionality until a patch is available. 6. Engage with ChanCMS vendors or community to obtain or develop patches and apply them promptly once released. 7. Conduct security awareness training for developers and administrators on secure coding practices and vulnerability management. 8. Regularly audit and update all CMS components to the latest secure versions to reduce exposure to known vulnerabilities.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Belgium, Sweden, Austria
CVE-2025-10110: SQL Injection in ChanCMS
Description
A vulnerability was identified in ChanCMS up to 3.3.1. Impacted is an unknown function of the file /search/. The manipulation with the input '%20or%201=1%20%23/words.html leads to sql injection. Remote exploitation of the attack is possible. The exploit is publicly available and might be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-10110 is a SQL Injection vulnerability identified in ChanCMS versions up to 3.3.1, specifically affecting an unknown function within the /search/ endpoint. The vulnerability arises from improper sanitization of user input, where an attacker can manipulate the input parameter with a payload such as '%20or%201=1%20%23/words.html' to inject malicious SQL code. This injection allows an attacker to alter the intended SQL query logic, potentially bypassing authentication, extracting sensitive data, or modifying database contents. The vulnerability is remotely exploitable without requiring user interaction or authentication, increasing its risk profile. The CVSS v4.0 base score is 5.3, indicating a medium severity level. The vector string (AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P) shows that the attack is network-based with low attack complexity, no user interaction, and requires low privileges, but the impact on confidentiality, integrity, and availability is limited. Although no public exploit is confirmed in the wild, a proof-of-concept exploit is publicly available, which could facilitate exploitation by threat actors. The lack of official patches at the time of publication increases the urgency for mitigation. SQL Injection vulnerabilities are critical because they target the data layer, potentially leading to data breaches or system compromise if chained with other vulnerabilities.
Potential Impact
For European organizations using ChanCMS versions 3.3.0 or 3.3.1, this vulnerability poses a tangible risk of unauthorized data access or manipulation. Given that ChanCMS is a content management system, exploitation could lead to exposure of sensitive business data, user credentials, or intellectual property. This could result in reputational damage, regulatory fines under GDPR for data breaches, and operational disruptions if the database integrity is compromised. The medium severity score reflects limited impact scope, but the ease of remote exploitation without user interaction or authentication increases the threat. Organizations in sectors with high data sensitivity such as finance, healthcare, and government are particularly at risk. Additionally, attackers could leverage this vulnerability as a foothold for further lateral movement or deployment of ransomware. The absence of a patch means organizations must rely on compensating controls until an official fix is released.
Mitigation Recommendations
1. Immediate mitigation should include implementing Web Application Firewall (WAF) rules specifically targeting SQL Injection patterns against the /search/ endpoint to block malicious payloads. 2. Conduct input validation and sanitization on all user inputs at the application level, employing parameterized queries or prepared statements to prevent injection. 3. Restrict database user privileges to the minimum necessary to limit the impact of a successful injection. 4. Monitor application logs and database queries for anomalous patterns indicative of injection attempts. 5. If possible, disable or restrict access to the vulnerable /search/ functionality until a patch is available. 6. Engage with ChanCMS vendors or community to obtain or develop patches and apply them promptly once released. 7. Conduct security awareness training for developers and administrators on secure coding practices and vulnerability management. 8. Regularly audit and update all CMS components to the latest secure versions to reduce exposure to known vulnerabilities.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-09-08T14:15:33.950Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 68bf5ce1d5a2966cfc83ddb8
Added to database: 9/8/2025, 10:46:57 PM
Last enriched: 9/8/2025, 11:01:57 PM
Last updated: 9/10/2025, 12:02:14 AM
Views: 8
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