SQL Injection in Video Downloader Admin Interface

All in One Video Downloader 1.2 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the id parameter. Attackers can send requests to the admin interface with UNION-based SQL injection payloads in the id parameter to extract sensitive database information including usernames, databases, 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

All in One Video Downloader version 1.2 suffers from a critical SQL injection vulnerability in its admin interface that allows unauthenticated attackers to execute arbitrary SQL commands. By manipulating the id parameter with UNION-based SQL injection payloads, adversaries can bypass authentication controls and extract sensitive database contents including usernames, database names, and version information. This vulnerability is particularly dangerous because it requires no authentication, has a CVSS score of 8.2, and affects organizations using this downloader—potentially including educational institutions, media companies, and enterprises that deploy it for legitimate content management purposes.

Casky's 301 mapped security skills leverage Claude AI's extended reasoning to identify the attack patterns associated with MITRE techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance via database fingerprinting). Practitioners using Casky would detect this vulnerability through skills that recognize: (1) unsanitized user input flowing into SQL queries, (2) UNION-based injection patterns in HTTP parameters, (3) error messages that reveal database structure, and (4) unauthenticated access to administrative endpoints. The platform's analysis would surface suspicious query constructs, parameter tampering indicators, and information disclosure patterns—enabling security teams to prioritize remediation of unpatched instances and implement input validation controls before attackers can perform reconnaissance and exfiltrate sensitive 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-2019-25726.

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-2019-25726

Casky has 301 skills that investigate the attack patterns behind CVE-2019-25726. Run one and get CVSS-scored findings in 3 minutes.

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