Description
Chatwoot is a customer engagement suite. Prior to 3.16.0, conversation and contact filters endpoints did not sanitize the input of query_operator passed from the frontend or the API. This provided any actor who is authenticated, an attack vector to run arbitrary SQL within the filter query by adding a tautological WHERE clause. This issue is patched with v3.16.0.
EPSS Score:
0%
Technical Analysis of EUVD-2025-2577
1. Vulnerability Assessment and Severity Evaluation
The vulnerability described in EUVD-2025-2577 affects Chatwoot, a customer engagement suite. The issue arises from the lack of input sanitization for the query_operator parameter in conversation and contact filters endpoints. This allows authenticated users to execute arbitrary SQL queries, leading to potential SQL injection attacks.
Severity Evaluation:
- Base Score: 9.1 (CVSS:3.1)
- Vector String: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:L
The high base score indicates a critical vulnerability due to the following factors:
- Attack Vector (AV:N): The vulnerability is exploitable over the network.
- Attack Complexity (AC:L): The attack requires low complexity.
- Privileges Required (PR:L): The attacker needs low-level privileges (authenticated user).
- User Interaction (UI:N): No user interaction is required.
- Scope (S:C): The vulnerability affects components beyond the security scope.
- Confidentiality (C:H): High impact on confidentiality.
- Integrity (I:L): Low impact on integrity.
- Availability (A:L): Low impact on availability.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Authenticated SQL Injection: An authenticated user can manipulate the
query_operatorparameter to inject malicious SQL code. - Tautological WHERE Clause: The attacker can add a tautological WHERE clause to bypass filters and execute arbitrary SQL commands.
Exploitation Methods:
- Data Exfiltration: The attacker can extract sensitive information from the database.
- Data Manipulation: The attacker can modify database entries, leading to integrity issues.
- Denial of Service: The attacker can execute SQL commands that disrupt the normal operation of the database.
3. Affected Systems and Software Versions
Affected Software:
- Product: Chatwoot
- Versions: 2.16.1 and all versions prior to 3.16.0
Affected Systems:
- Any system running the affected versions of Chatwoot, including on-premises installations and cloud-based deployments.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Upgrade: Upgrade to Chatwoot version 3.16.0 or later, which includes the patch for this vulnerability.
- Input Sanitization: Ensure all input parameters are properly sanitized to prevent SQL injection.
Long-Term Mitigation:
- Regular Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
- Security Training: Provide training for developers on secure coding practices, particularly focusing on input validation and sanitization.
- Monitoring: Implement monitoring and alerting for suspicious database activities.
5. Impact on European Cybersecurity Landscape
The vulnerability in Chatwoot poses a significant risk to organizations using the software, particularly those handling sensitive customer data. Given the widespread use of customer engagement suites in various industries, the impact could be far-reaching, affecting:
- Data Privacy: Potential breaches of personal data, leading to GDPR violations.
- Operational Disruption: Service disruptions due to data manipulation or denial of service attacks.
- Reputation: Loss of customer trust and potential legal repercussions.
6. Technical Details for Security Professionals
Vulnerability Details:
- Vulnerable Endpoints: Conversation and contact filters endpoints.
- Vulnerable Parameter:
query_operator - Exploit Mechanism: Injection of arbitrary SQL code through unsanitized input.
Patch Information:
- Fixed Version: 3.16.0
- Patch Commit: GitHub Commit
References:
- Advisory: GitHub Security Advisory
Additional Recommendations:
- Web Application Firewall (WAF): Deploy a WAF to detect and block SQL injection attempts.
- Database Security: Implement database security measures such as least privilege access and regular backups.
By addressing this vulnerability promptly and implementing robust security measures, organizations can mitigate the risks associated with SQL injection attacks and protect their customer data.