SQL Injection in Twitter-Clone Follow Functionality

Twitter-Clone 1 contains a SQL injection vulnerability in follow.php that allows attackers to manipulate database queries by injecting SQL code through the userid parameter. Attackers can submit union-based or time-based blind SQL injection payloads to extract sensitive database information including usernames, passwords, and database credentials.

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-2018-25362 represents a critical SQL injection vulnerability in the follow.php endpoint of Twitter-Clone 1, where unsanitized user input in the userid parameter allows attackers to inject arbitrary SQL commands directly into database queries. This vulnerability carries a CVSS score of 8.2 and poses significant risk because it enables unauthorized access to sensitive data including user credentials, passwords, and database configuration details. Any organization running vulnerable versions of Twitter-Clone 1 faces potential data breach scenarios where attackers can extract entire user databases, modify records, or establish persistent access through compromised credentials.

Casky.ai's 301 mapped security skills leverage Claude AI with extended reasoning to detect the attack patterns underlying this vulnerability across two critical MITRE ATT&CK techniques: TA0001 (Reconnaissance) and TA0043 (Reconnaissance - Gather Victim Identity Information). Practitioners using Casky would observe detection of SQL injection attempts through pattern recognition of characteristic payloads—union-based queries attempting to extract column data and time-based blind techniques using conditional delays to infer database structure. The platform identifies suspicious userid parameter manipulation, recognizes DBMS-specific syntax patterns, and correlates attack chains showing how initial reconnaissance evolves into credential extraction. Practitioners would see detailed findings highlighting abnormal database query timing, unexpected UNION statements in request logs, and the progression from information gathering to data exfiltration, enabling them to implement precise input validation and parameterized query controls before exploitation 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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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-2018-25362.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

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analyzing-campaign-attribution-evidence

threat intelligence · low

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analyzing-certificate-transparency-for-phishing

threat intelligence · low

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MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2018-25362

Casky has 301 skills that investigate the attack patterns behind CVE-2018-25362. Run one and get CVSS-scored findings in 3 minutes.

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