CVE-2013-2018
📋 TL;DR
Multiple SQL injection vulnerabilities in BOINC (Berkeley Open Infrastructure for Network Computing) allow remote attackers to execute arbitrary SQL commands via unspecified vectors. This affects BOINC servers running vulnerable versions, potentially compromising the entire database and server.
💻 Affected Systems
- BOINC (Berkeley Open Infrastructure for Network Computing)
📦 What is this software?
Boinc Client by Universityofcalifornia
⚠️ Risk & Real-World Impact
Worst Case
Complete database compromise leading to data theft, data manipulation, or full server takeover via SQL injection leading to remote code execution.
Likely Case
Database information disclosure, data corruption, or privilege escalation through SQL injection attacks.
If Mitigated
Limited impact with proper input validation, parameterized queries, and network segmentation in place.
🎯 Exploit Status
SQL injection vulnerabilities typically have low exploitation complexity when details are known.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Patched versions released in 2013 (specific version not specified in provided references)
Vendor Advisory: http://www.openwall.com/lists/oss-security/2013/04/28/3
Restart Required: Yes
Instructions:
1. Check current BOINC version. 2. Update to the latest patched version from official BOINC repositories. 3. Restart BOINC services.
🔧 Temporary Workarounds
Input Validation and Sanitization
allImplement strict input validation and parameterized queries for all user inputs.
Web Application Firewall
allDeploy WAF with SQL injection protection rules.
🧯 If You Can't Patch
- Implement network segmentation to isolate BOINC servers from critical systems
- Deploy database activity monitoring and intrusion detection systems
🔍 How to Verify
Check if Vulnerable:
Check BOINC version against known vulnerable versions from 2013 timeframeCheck Version:
boinc --version or check BOINC web interface versionVerify Fix Applied:
Verify BOINC version is updated to post-2013 patched releases📡 Detection & Monitoring
Log Indicators:
- Unusual SQL query patterns in database logs
- Multiple failed login attempts with SQL-like syntax
Network Indicators:
- Unusual database connection patterns
- SQL error messages in HTTP responses
SIEM Query:
SELECT * FROM logs WHERE message LIKE '%SQL%' OR message LIKE '%injection%' OR message LIKE '%UNION%'