Unauthenticated SQL Injection in Visitor Traffic Statistics

Unauthenticated SQL Injection in Visitor Traffic Real Time Statistics Pro <= 11.17 versions.

Casky was already ahead

This CVE exploits attack patterns that Casky's 323matched 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-2026-32479 represents a critical SQL injection vulnerability affecting Visitor Traffic Real Time Statistics Pro through version 11.17, with a CVSS score of 9.3. This unauthenticated vulnerability allows attackers to bypass access controls and directly manipulate database queries without requiring valid credentials. Organizations running vulnerable versions of this plugin face immediate risk of complete database compromise, including unauthorized data access, modification, or destruction. The lack of authentication requirements significantly amplifies the threat surface, making this vulnerability trivial to exploit at scale across any internet-facing deployment.

Casky.ai's 323 mapped security skills leverage Claude's extended reasoning to detect the attack patterns underlying this CVE by correlating indicators across MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance - including active scanning for vulnerable endpoints). When practitioners run analysis through Casky's platform, they receive detailed findings that identify suspicious SQL query patterns, unusual database access attempts, and reconnaissance activity probing for the vulnerable plugin versions. Practitioners would observe detection signals for SQL metacharacter sequences, error-based injection attempts, and anomalous database activity—all mapped back to the specific CWE-89 (SQL Injection) weakness. This enables security teams to distinguish legitimate traffic from exploitation attempts and prioritize immediate patching of versions 11.17 and earlier.

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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 →

323 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-32479.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-32479

Casky has 323 skills that investigate the attack patterns behind CVE-2026-32479. Run one and get CVSS-scored findings in 3 minutes.

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