WordPress Forms Plugin Arbitrary File Deletion via Path Traversal

The SigmaForms Pro – AI Generated Forms plugin for WordPress is vulnerable to arbitrary file deletion due to insufficient file path validation in the delete_submission_files function in all versions up to, and including, 1.4.11. This makes it possible for unauthenticated attackers to delete arbitrary files on the server, which can easily lead to remote code execution when the right file is deleted (such as wp-config.php). The malicious path traversal URL is submitted via form upload field and stored in the database, with deletion triggered when an administrator deletes the submission record from the admin panel.

Casky was already ahead

This CVE exploits attack patterns that Casky's 351matched 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

The SigmaForms Pro plugin for WordPress contains a critical path traversal vulnerability in its file deletion functionality that allows unauthenticated attackers to delete arbitrary files from the server. By submitting maliciously crafted file paths through form upload fields, attackers can bypass validation checks and remove essential system files like wp-config.php, wp-settings.php, or .htaccess files. With a CVSS score of 9.8, this vulnerability is particularly dangerous because file deletion can be weaponized for remote code execution—destroying critical configuration files forces the application into a compromised state where attackers can inject malicious code or take complete control of the WordPress installation. Any organization running SigmaForms Pro versions up to 1.4.11 is at immediate risk, especially those with public-facing WordPress instances and forms that accept file uploads.

Casky's 351 matching skills map this vulnerability across MITRE ATT&CK's Initial Access (TA0001) and Discovery (TA0007) phases. When Claude AI analyzes traffic and logs with extended reasoning, practitioners would identify suspicious patterns including: unauthenticated requests to form submission endpoints with directory traversal sequences (../, ..\, or encoded variants) in file path parameters; requests attempting to access files outside the intended upload directory; and repeated DELETE or file manipulation operations preceded by reconnaissance activity. The skills would surface indicators like malformed file paths in form fields, requests targeting sensitive WordPress files, and the correlation between file deletion attempts and subsequent RCE indicators—allowing security teams to detect exploitation attempts before critical files are removed and to implement path validation controls that properly sanitize all file operations in custom WordPress plugins.

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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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351 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-78657.

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 TA0007

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