SQL Injection Vulnerability in Unicamp Subscriber Management

Subscriber SQL Injection in Unicamp <= 2.2.2 versions.

Casky was already ahead

This CVE exploits attack patterns that Casky's 322matched 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-2025-69094 represents a high-severity SQL injection vulnerability (CWE-89) affecting Unicamp versions 2.2.2 and earlier, specifically within subscriber-related functionality. SQL injection flaws allow attackers to manipulate database queries by injecting malicious SQL code through user inputs, potentially leading to unauthorized data access, modification, or deletion. This vulnerability is particularly concerning because subscriber management systems typically handle sensitive user data, payment information, and authentication credentials. Organizations running vulnerable Unicamp instances face immediate risk of data breach, privilege escalation, and business continuity disruption.

Casky.ai's 322 mapped security skills leverage Claude AI's extended reasoning to detect the attack patterns underlying this CVE across MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance). Practitioners using Casky will identify suspicious patterns such as SQL syntax elements appearing in subscriber input fields, unusual database query patterns, and authentication bypass attempts targeting the subscriber module. The platform's skill mapping enables detection of reconnaissance activities where attackers probe input validation boundaries, followed by exploitation attempts injecting UNION-based queries, time-based blind SQL injection, or stacked queries. In findings, practitioners would see flagged queries containing SQL keywords (SELECT, UNION, OR 1=1), parameter tampering in subscriber lookups, and database error messages leaking schema information—all mapped to specific MITRE techniques for comprehensive threat contextualization.

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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 →

322 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2025-69094.

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

achieving-cmmc-level-2-compliance

compliance governance · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2025-69094

Casky has 322 skills that investigate the attack patterns behind CVE-2025-69094. Run one and get CVSS-scored findings in 3 minutes.

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