Unauthenticated SQL Injection in Slider Gallery Plugin

Apptha Slider Gallery 1.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the albid parameter. Attackers can send GET requests with crafted SQL payloads in the albid parameter to extract sensitive database information including user credentials and authentication hashes.

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

Apptha Slider Gallery 1.0 contains a critical SQL injection vulnerability in the albid parameter that allows unauthenticated attackers to execute arbitrary database queries. This vulnerability is particularly dangerous because it requires no authentication, meaning any remote attacker can exploit it by crafting malicious GET requests. The vulnerability enables attackers to extract sensitive data including user credentials, authentication hashes, and other confidential information stored in the database. Organizations using this plugin are at immediate risk of data breaches and unauthorized access to user accounts. With a CVSS score of 8.2, this represents a high-severity threat that should be prioritized for patching or remediation.

Casky's 301 matching 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) phases. Practitioners using Casky would identify suspicious SQL syntax patterns in web request logs, particularly malformed or unusual characters in the albid parameter such as single quotes, UNION statements, or comment sequences. The platform's skills would correlate these indicators with CWE-89 (SQL Injection) attack signatures, helping security teams spot exploitation attempts that precede data exfiltration. Additionally, Casky would highlight the reconnaissance phase activities—such as repeated requests with incrementally modified payloads—that attackers use to probe database structure and identify exploitable columns, enabling practitioners to detect and block attacks before sensitive data extraction 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-2017-20249.

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-2017-20249

Casky has 301 skills that investigate the attack patterns behind CVE-2017-20249. Run one and get CVSS-scored findings in 3 minutes.

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