Unauthenticated SQL Injection in Twitter-Clone Search Parameter

Twitter-Clone 1 contains a SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the name parameter. Attackers can submit crafted payloads to the search.php endpoint to extract database information including usernames, credentials, and system data using error-based and union-based SQL injection techniques.

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-2018-25364 is a critical SQL injection vulnerability in Twitter-Clone 1 that allows unauthenticated attackers to execute arbitrary SQL queries through the search.php endpoint's name parameter. By injecting malicious SQL code, attackers can bypass authentication entirely and extract sensitive database information including usernames, password hashes, and system metadata using both error-based and union-based injection techniques. This vulnerability is particularly dangerous because it requires no prior access or credentials—any external actor can exploit it, making it a severe risk for organizations running vulnerable versions of Twitter-Clone 1 in production environments.

Casky's 301 matched skills leverage Claude AI's extended reasoning to detect the attack patterns associated with this vulnerability across MITRE ATT&CK's Reconnaissance (TA0001) and Resource Development (TA0043) techniques. Practitioners using Casky would observe findings flagged for suspicious SQL syntax patterns in web application logs, unusual parameter encoding in search requests, and database queries attempting UNION-based data extraction or triggering verbose error messages. The platform's skills would correlate these indicators with known SQL injection payloads, identify attempts to enumerate database schema through error responses, and surface the unauthenticated nature of requests as a critical red flag. This multi-layered detection approach helps security teams identify exploitation attempts in real-time before attackers successfully exfiltrate sensitive credentials or system data.

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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-2018-25364.

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

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2018-25364

Casky has 301 skills that investigate the attack patterns behind CVE-2018-25364. Run one and get CVSS-scored findings in 3 minutes.

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