WordPress OttoKit Plugin SQL Injection via Unsanitized Input

The OttoKit: All-in-One Automation Platform WordPress plugin before 1.1.23 does not properly sanitize user input before using it in a SQL statement, which could allow unauthenticated attackers to perform SQL injection attacks.

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

CVE-2026-4935 represents a critical SQL injection vulnerability in the OttoKit: All-in-One Automation Platform WordPress plugin versions prior to 1.1.23. The vulnerability stems from insufficient input sanitization before SQL statement construction, allowing unauthenticated attackers to inject arbitrary SQL commands. This is particularly dangerous because it requires no authentication, meaning any internet-facing WordPress installation running the vulnerable plugin is immediately at risk. Organizations using OttoKit for automation workflows face potential data exfiltration, modification, or destruction. With a CVSS score of 8.6, this vulnerability poses a high risk to WordPress administrators and their underlying databases, affecting the confidentiality, integrity, and availability of critical business data.

Casky.ai's 301 matched security skills leverage Claude AI with extended reasoning to detect SQL injection attack patterns mapped to MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance). Practitioners using Casky would identify reconnaissance activity when attackers probe for the vulnerable OttoKit plugin version, followed by exploitation attempts sending malformed SQL payloads in request parameters. The platform's CWE-89 focused skills would flag suspicious SQL syntax in application logs—such as UNION-based queries, time-based blind injection patterns, or stacked queries—combined with unusual database access patterns. Security teams would see findings highlighting unauthenticated POST/GET requests containing SQL metacharacters targeting known OttoKit endpoints, enabling rapid detection of both successful exploitation and active reconnaissance phases before data exfiltration 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-2026-4935.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

Run

analyzing-campaign-attribution-evidence

threat intelligence · low

Run

analyzing-certificate-transparency-for-phishing

threat intelligence · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-4935

Casky has 301 skills that investigate the attack patterns behind CVE-2026-4935. Run one and get CVSS-scored findings in 3 minutes.

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