stylemix MasterStudy LMS Plugin up to 3.7.14 on WordPress stm_lms_delete_cover file_id resource injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
3.8$0-$5k0.00

Summaryinfo

A vulnerability was found in stylemix MasterStudy LMS Plugin up to 3.7.14. It has been rated as problematic. This affects the function stm_lms_delete_cover. This manipulation of the argument file_id causes resource injection. The identification of this vulnerability is CVE-2026-5060. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability classified as problematic was found in stylemix MasterStudy LMS Plugin up to 3.7.14. Affected by this vulnerability is the function stm_lms_delete_cover. The manipulation of the argument file_id with an unknown input leads to a resource injection vulnerability. The CWE definition for the vulnerability is CWE-99. The product receives input from an upstream component, but it does not restrict or incorrectly restricts the input before it is used as an identifier for a resource that may be outside the intended sphere of control. As an impact it is known to affect integrity, and availability. The summary by CVE is:

The MasterStudy LMS WordPress Plugin – for Online Courses and Education plugin for WordPress is vulnerable to Insecure Direct Object Reference in all versions up to, and including, 3.7.14. This is due to the `stm_lms_delete_cover()` function lacking ownership validation on the `file_id` parameter before passing it to `wp_delete_attachment()`. This makes it possible for authenticated attackers, with Instructor-level access and above, to delete arbitrary attachments belonging to any user by enumerating sequential attachment IDs.

It is possible to read the advisory at wordfence.com. This vulnerability is known as CVE-2026-5060 since 03/27/2026. The exploitation appears to be easy. The attack can be launched remotely. Additional levels of successful authentication are needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 07/29/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-50271). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.8
VulDB Meta Temp Score: 3.8

VulDB Base Score: 3.8
VulDB Temp Score: 3.8
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Resource injection
CWE: CWE-99
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

03/27/2026 CVE reserved
07/29/2026 +123 days Advisory disclosed
07/29/2026 +0 days VulDB entry created
07/29/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: wordfence.com
Status: Not defined

CVE: CVE-2026-5060 (🔒)
GCVE (CVE): GCVE-0-2026-5060
GCVE (VulDB): GCVE-100-384139
EUVD: 🔒

Entryinfo

Created: 07/29/2026 12:37
Updated: 07/29/2026 13:55
Changes: 07/29/2026 12:37 (55), 07/29/2026 13:55 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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