Time-Based Blind SQL Injection in OpenSIPS Control Panel

A Time-Based Blind SQL Injection vulnerability in the alias_management module of OpenSIPS Control Panel (opensips-cp) prior to version 9.3.3 allows authenticated attackers to execute arbitrary SQL commands via the 'table' GET parameter in alias_management.php.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

CVE-2026-36670 is a time-based blind SQL injection vulnerability in OpenSIPS Control Panel's alias_management module that allows authenticated attackers to execute arbitrary SQL commands through the 'table' GET parameter. With a CVSS score of 8.8, this high-severity flaw affects organizations running versions prior to 9.3.3 and poses significant risk to VoIP infrastructure security. Because the vulnerability requires authentication, threat actors must first gain valid credentials, but once inside, they can extract sensitive data from the database, modify customer information, or escalate privileges—making this particularly dangerous for telecom providers and enterprises managing SIP-based communications.

Casky's 301 mapped security skills leverage Claude AI's extended reasoning to detect exploitation of this vulnerability across the MITRE ATT&CK tactics of Reconnaissance (TA0001) and Resource Development (TA0043). Practitioners using Casky would see detection patterns identifying SQL query time delays in alias_management.php logs—the hallmark of time-based blind injection attacks—combined with suspicious GET parameter manipulation involving the 'table' field. The platform's skills analyze query execution timing anomalies, unusual database response latencies, and parameter encoding patterns that indicate SQL injection attempts. When flagged, practitioners gain visibility into which authenticated users are executing these queries, enabling rapid response to insider threats or compromised accounts before database exfiltration occurs.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-36670.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

Run

analyzing-campaign-attribution-evidence

threat intelligence · low

Run

analyzing-certificate-transparency-for-phishing

threat intelligence · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-36670

Casky has 301 skills that investigate the attack patterns behind CVE-2026-36670. Run one and get CVSS-scored findings in 3 minutes.

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