SQL Injection in Ghidra BSim Filter Network Queries

Ghidra before 12.1 contains a SQL injection vulnerability in BSim filter types that concatenate user-supplied values directly into SQL queries without escaping or parameterization. Remote attackers can inject arbitrary SQL via the BSim network query protocol to read, modify, or delete data in the PostgreSQL database.

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

Ghidra, the NSA's widely-used reverse engineering framework, contains a critical SQL injection vulnerability in its BSim (Binary Similarity) functionality. The flaw exists because user-supplied filter values are concatenated directly into SQL queries without escaping or parameterization, allowing remote attackers to inject arbitrary SQL commands through the BSim network query protocol. Organizations using Ghidra for malware analysis, vulnerability research, or binary comparison workflows are at risk of unauthorized database access, data exfiltration, or destructive modifications to their PostgreSQL backends. A successful exploit could compromise entire analysis repositories and the integrity of security research.

Casky's 301 matched skills detect this vulnerability by correlating reconnaissance (TA0001) and exfiltration (TA0043) attack patterns against Ghidra's network communication layers. Practitioners using Casky would observe flagged findings highlighting: (1) unsanitized user input flowing into SQL statement construction within BSim filter handlers, (2) network protocol traffic containing SQL metacharacters in query parameters, and (3) database queries executed with insufficient input validation. The extended reasoning capability maps these indicators to CWE-89 (SQL Injection) patterns, enabling security teams to identify both vulnerable code paths and live exploitation attempts before attackers establish persistent access or exfiltrate sensitive binary analysis 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-2026-52758.

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

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