Unauthenticated SQL Injection in LayerBB Search Parameter

LayerBB 1.1.4 contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the search_query parameter. Attackers can send POST requests to /search.php with malicious search_query values using CASE WHEN statements to extract sensitive database information.

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

LayerBB 1.1.4 contains a critical SQL injection vulnerability in its search functionality that allows unauthenticated attackers to execute arbitrary SQL queries against the application's database. By injecting malicious SQL code—particularly CASE WHEN statements—through the search_query parameter in POST requests to /search.php, attackers can bypass authentication entirely and extract sensitive data. This vulnerability matters because it requires no prior access or credentials, making it immediately exploitable by anyone with network access to the application. Organizations running vulnerable versions of LayerBB face direct risk of data theft, including user credentials, personal information, and other confidential records stored in the database.

Casky's 301 matched skills leverage Claude AI with extended reasoning to detect the attack patterns underlying this vulnerability across the reconnaissance (TA0001) and discovery (TA0043) phases of the MITRE ATT&CK framework. Practitioners using Casky would identify suspicious patterns including abnormal POST requests to /search.php with SQL syntax fragments in parameters, time-delay responses indicating successful query execution, and database error messages leaking schema information. The platform's skills help security teams recognize how attackers perform initial data discovery through Boolean-based or time-based SQL injection techniques, enabling detection of reconnaissance attempts before full data exfiltration occurs. By correlating these indicators with known exploitation patterns, practitioners gain visibility into both active exploitation attempts and the underlying structural weakness that CWE-89 (SQL injection) represents in their applications.

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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-2021-47954.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

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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-2021-47954

Casky has 301 skills that investigate the attack patterns behind CVE-2021-47954. Run one and get CVSS-scored findings in 3 minutes.

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