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CVE-2024-8529VulnerabilityPublished Updated

CVE-2024-8529: LearnPress (WordPress plugin) · SQL Injection

Affects LearnPress (WordPress plugin)Source CVE Database V5

0

Not known to be exploited · public exploit available (Metasploit) · 12% EPSS · CVSS 10.0 Critical.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
10.0Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
12.0% chance of exploitation in 30 days – higher than 96% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 12 Sep 2024

  2. Weaponised: evidence found.

    1 Metasploit module

  3. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  4. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-25.

What to do

Affected software

ProductAffectedFixed in
thimpress LearnPress – WordPress LMS Plugin for Create and Sell Online CoursesAffected
  • =0
Fixed in–

AI-suggested

Until an official fix is released, consider disabling or restricting access to the vulnerable REST API endpoint or applying web application firewall (WAF) rules to block malicious input targeting the 'c_fields' parameter. Monitor vendor channels for updates and apply patches promptly once available.

Description

The LearnPress – WordPress LMS Plugin plugin for WordPress is vulnerable to SQL Injection via the 'c_fields' parameter of the /wp-json/lp/v1/courses/archive-course REST API endpoint in all versions up to, and including, 4.2.7 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.

References

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