LearnDash Password Reset Missing Origin Validation

The Uncanny Toolkit for LearnDash WordPress plugin before 3.8.2 does not validate the origin of a password-reset request, allowing an unauthenticated attacker to set the password of a user who is partway through a password reset to an attacker-chosen value through a forged request, resulting in full account takeover.

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

The Uncanny Toolkit for LearnDash WordPress plugin before version 3.8.2 contains a critical cross-site request forgery (CSRF) vulnerability in its password reset functionality. The vulnerability stems from CWE-352 (missing CSRF token validation), allowing unauthenticated attackers to forge requests that reset a user's password to an attacker-controlled value. This affects WordPress sites using LearnDash for learning management, where attackers can hijack administrator and instructor accounts. With a CVSS score of 7.5 (high), this represents a severe account takeover risk—once an attacker gains password reset access, they obtain full control over targeted user accounts and their associated learning platform permissions.

Casky's 323 matching security skills leverage Claude AI's extended reasoning to detect the attack patterns mapped to MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would identify suspicious password reset requests lacking proper origin validation checks—specifically detecting forged requests that bypass CSRF protections. The platform's skills would flag HTTP POST requests to password reset endpoints that lack CSRF tokens or referer validation, combined with anomalous request sources outside normal user workflows. Security teams would see findings highlighting the absence of SameSite cookie attributes, missing nonce verification, and unvalidated state parameters in the password reset flow, enabling them to prioritize patching LearnDash installations and implement compensating controls like Web Application Firewalls that enforce strict CSRF protections.

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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-2026-107127.

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-2026-107127

Casky has 323 skills that investigate the attack patterns behind CVE-2026-107127. Run one and get CVSS-scored findings in 3 minutes.

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