Unauthenticated SQL Injection in PHP EI-Tube Search Parameter

PHP EI-Tube Script 3 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the search parameter. Attackers can send GET requests to the search endpoint with crafted SQL payloads in the query parameter to extract sensitive database information including usernames, passwords, and version details.

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-2019-25732 is a critical SQL injection vulnerability in PHP EI-Tube Script 3 that allows unauthenticated attackers to execute arbitrary SQL queries through the search endpoint. The vulnerability exists because user-supplied input in the search parameter is not properly sanitized before being incorporated into SQL statements. This is particularly dangerous because it requires no authentication—any remote attacker can craft a malicious GET request to extract sensitive data including usernames, passwords, and database version information. Organizations running vulnerable versions of EI-Tube Script 3 face immediate risk of data breach, credential compromise, and potential lateral movement within their infrastructure.

Casky.ai's 301 mapped skills detect the attack patterns behind this vulnerability by analyzing reconnaissance and exploitation techniques across MITRE ATT&CK's TA0001 (Reconnaissance) and TA0043 (Reconnaissance, using CWE-89 SQL injection as a signature). Practitioners using Casky would observe detection of T1592 (Gather Victim Org Information) and T1595 (Active Scanning) patterns as attackers probe the search parameter with SQL payloads, followed by T1190 (Exploit Public-Facing Application) indicators when malicious SQL is executed. The platform's Claude AI extended reasoning correlates suspicious GET requests with SQL metacharacter patterns, error-based responses revealing database structure, and time-based blind injection sequences—providing practitioners with clear findings that distinguish genuine search traffic from SQL injection attempts and enabling rapid response to active exploitation.

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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-2019-25732.

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-2019-25732

Casky has 301 skills that investigate the attack patterns behind CVE-2019-25732. Run one and get CVSS-scored findings in 3 minutes.

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