CVE-2026-85636 in trape
Summary
by MITRE • 09/04/2026
A vulnerability was identified in jofpin trape 1.0.0. Affected by this vulnerability is an unknown functionality of the file core/stats.py of the component Login Endpoint. The manipulation leads to missing authentication. The attack may be initiated remotely. The exploit is publicly available and might be used. The project was informed of the problem early through an issue report but has not responded yet.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Analysis
by VulDB Data Team • 09/04/2026
The identified vulnerability in jofpin trape version 1.0.0 represents a critical security flaw within the application's authentication mechanism, specifically located in the core/stats.py module associated with the Login Endpoint functionality. This defect results in missing authentication controls, which fundamentally undermines the integrity of the access control system designed to protect sensitive resources and user data. The nature of this vulnerability allows an attacker to bypass standard login procedures, effectively granting unauthorized access to protected areas of the application without valid credentials. Such a flaw is particularly severe because it negates one of the primary layers of defense in any web or networked application, allowing direct interaction with backend services that should be restricted to authenticated users only.
From a technical perspective, this issue aligns closely with CWE-287, which describes Improper Authentication, and potentially CWE-306 for Missing Authentication for Critical Function. The root cause likely stems from insufficient validation of session tokens or credentials within the stats.py logic before processing requests intended for administrative or sensitive statistical data retrieval. Because the manipulation leads to missing authentication, it suggests that the application fails to verify the identity of the requester at a critical juncture in the request lifecycle. This could be due to hardcoded bypasses, flawed state management, or an absence of necessary checks within the endpoint handler itself. The fact that the exploit is publicly available significantly elevates the risk profile, as it lowers the barrier for entry considerably, enabling even attackers with limited technical expertise to compromise the system by leveraging existing proof-of-concept code rather than developing novel attack vectors from scratch.
The operational impact of this vulnerability is substantial, particularly given that the attack may be initiated remotely over a network connection such as the internet. Remote exploitation allows adversaries to access sensitive statistical data, potentially leading to information disclosure where confidential metrics or user details are exposed. Furthermore, depending on what actions can be performed through these unprotected endpoints, there is a risk of further compromise including privilege escalation if administrative functions are accessible via this same flawed path. The lack of response from the project maintainers despite early notification exacerbates the situation by leaving users and administrators without official patches or workarounds for an extended period. This delay forces organizations relying on jofpin trape to either isolate the vulnerable instance, restrict network access through firewall rules, or migrate away from the software entirely until a fix is provided.
To mitigate this risk in the absence of an immediate patch, defensive measures should focus on limiting exposure and enforcing strict access controls at infrastructure levels. Network segmentation can help by ensuring that the affected service is not directly accessible from untrusted networks such as the public internet. Implementing Web Application Firewalls with rules specifically targeting known exploit patterns for missing authentication flaws may also provide a layer of protection against automated attacks utilizing the publicly available exploits. Additionally, rigorous monitoring and logging should be enabled to detect anomalous access attempts or unusual data retrieval patterns that might indicate exploitation in progress. Organizations must treat this vulnerability as high severity due to its remote exploitable nature and the availability of public exploit code, prioritizing remediation strategies until a verified software update is released by the project maintainers.