VulnerabilityPublished 5 Oct 2025

CVE-2025-11304: CodeCanyon Mentor LMS · Permissive Cross-domain Policy with Untrusted Domains

Affects CodeCanyon Mentor LMSSource CVE Database V5

Public exploit available · CVSS 5.3 Medium.

Data as of 26 Oct 2026, 10:12 UTC

CVSS 4.0 base score

5.3Medium

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.2% chance of exploitation in 30 days – higher than 12% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P

Base metrics

Attack Vector: Network
Attack Complexity: Low
Attack Requirements: None
Privileges Required: None
User Interaction: Passive
Vulnerable system confidentiality: Low
Vulnerable system integrity: Low
Vulnerable system availability: Low
Subsequent system confidentiality: None
Subsequent system integrity: None
Subsequent system availability: None

Threat metrics

Exploit Maturity: POC

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable system is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: The attacker must take no measurable action to exploit the vulnerability. The attack requires no target-specific circumvention to exploit the vulnerability. An attacker can expect repeatable success against the vulnerable system.
Attack Requirements: None: The successful attack does not depend on the deployment and execution conditions of the vulnerable system. The attacker can expect to be able to reach the vulnerability and execute the exploit under all or most instances of the vulnerability.
Privileges Required: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.
User Interaction: Passive: Successful exploitation of this vulnerability requires limited interaction by the targeted user with the vulnerable system and the attacker’s payload. These interactions would be considered involuntary and do not require that the user actively subvert protections built into the vulnerable system.
Vulnerable system confidentiality: Low: There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the Vulnerable System.
Vulnerable system integrity: Low: Modification of data is possible, but the attacker does not have control over the consequence of a modification, or the amount of modification is limited. The data modification does not have a direct, serious impact to the Vulnerable System.
Vulnerable system availability: Low: Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the Vulnerable System are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the Vulnerable System.
Subsequent system confidentiality: None: There is no loss of confidentiality within the Subsequent System or all confidentiality impact is constrained to the Vulnerable System.
Subsequent system integrity: None: There is no loss of integrity within the Subsequent System or all integrity impact is constrained to the Vulnerable System.
Subsequent system availability: None: There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable System.
Exploit Maturity: POC: Based on threat intelligence sources each of the following must apply: · Proof-of-concept is publicly available · No knowledge of reported attempts to exploit this vulnerability · No knowledge of publicly available solutions used to simplify attempts to exploit the vulnerability

Definitions: FIRST CVSS v4.0 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 5 Oct 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: evidence found.
CVSS exploit maturity: proof of concept public
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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), CVSS vector, the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Affected software

Product	Affected	Fixed in
CodeCanyon Mentor LMS	Affected =1.1.0 =1.1.1	Fixed in–

AI-suggested

Immediately review and restrict cross-domain policies in the Mentor LMS deployment, ensuring only trusted domains are allowed in CORS headers and cross-domain policy files.
Implement Content Security Policy (CSP) headers to limit the sources of executable scripts and frame ancestors.
Monitor web server and application logs for unusual cross-origin requests or suspicious referrers.
Educate users to avoid clicking on suspicious links or visiting untrusted websites while logged into the LMS.
If possible, deploy web application firewalls (WAF) with rules to detect and block malicious cross-origin requests targeting the LMS.
Isolate the LMS environment within a segmented network zone to limit lateral movement if exploited.
Regularly audit and update third-party components and dependencies related to cross-domain policies.
Engage with the vendor or community for updates or unofficial patches and consider alternative LMS solutions if the vendor remains unresponsive.
Conduct penetration testing focused on cross-origin vulnerabilities to identify and remediate weaknesses.
Prepare incident response plans specific to cross-origin attacks and data leakage scenarios.

Description

A flaw has been found in CodeCanyon/ui-lib Mentor LMS up to 1.1.1. Affected by this vulnerability is an unknown functionality of the component API. Executing manipulation can lead to permissive cross-domain policy with untrusted domains. The attack may be launched remotely. The exploit has been published and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

Impact

For European organizations, especially those in the education and training sectors using Mentor LMS, this vulnerability poses a risk of unauthorized data access and manipulation through cross-origin attacks. The permissive cross-domain policy could allow attackers to steal sensitive user information, such as session cookies or personal data, or perform unauthorized actions within the LMS environment. This can lead to confidentiality breaches, data integrity issues, and potential disruption of learning services. While the impact is medium severity, the lack of vendor response and patches increases exposure time. Organizations may face compliance risks under GDPR if personal data is compromised. Additionally, attackers could leverage this vulnerability as a foothold for further attacks within the network. The remote and unauthenticated nature of the exploit increases the threat surface, particularly in environments where users access LMS resources from browsers susceptible to cross-origin attacks.

Summary

CVE-2025-11304 identifies a vulnerability in the CodeCanyon Mentor LMS product, specifically versions 1.1.0 and 1.1.1, where the application’s API component improperly implements cross-domain policies. This flaw results in a permissive cross-domain policy that includes untrusted domains, allowing remote attackers to bypass same-origin restrictions. The vulnerability does not require authentication or elevated privileges but does require some user interaction, such as visiting a malicious site that triggers cross-origin requests. The permissive policy can enable attackers to perform unauthorized actions like reading sensitive data or manipulating application state via cross-origin resource sharing (CORS) or Flash cross-domain policy files, depending on the implementation. The CVSS 4.0 score of 5.3 reflects medium severity, considering the network attack vector, low complexity, no privileges required, and user interaction needed. The impact on confidentiality, integrity, and availability is limited but non-negligible, as attackers could exploit this to steal session tokens, perform unauthorized actions, or cause data leakage. No patches or vendor responses are currently available, and while no active exploitation has been observed, published proof-of-concept exploits increase the risk of future attacks. Organizations using Mentor LMS should prioritize reviewing and hardening their cross-domain policies and monitor for suspicious activity related to cross-origin requests.

References

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 13 Oct 2025, 00:36 UTC

Technical details

References

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