CVE-2026-85639 in trape
Summary
by MITRE • 09/04/2026
A security vulnerability has been detected in jofpin trape 2.0. This vulnerability affects unknown code of the file core/user.py of the component Telemetry Endpoint. Such manipulation of the argument vId leads to race condition. The attack can be executed remotely. Attacks of this nature are highly complex. It is stated that the exploitability is difficult. The exploit has been disclosed publicly and may 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 vulnerability identified in jofpin trape version 2.0 represents a significant security risk within its Telemetry Endpoint component, specifically residing in the core/user.py file. This flaw is characterized as a race condition triggered by improper handling of the vId argument during execution. Race conditions occur when software performs an operation based on the timing or order of events that are not properly synchronized, leading to unpredictable behavior. In this specific context, the manipulation of the vId parameter allows an attacker to exploit the temporal gap between checking and using a resource, which can result in unauthorized access, data corruption, or denial of service depending on how the underlying logic processes concurrent requests. The presence of such a flaw indicates that the application fails to implement adequate synchronization mechanisms for shared resources accessed by multiple threads or processes simultaneously.
From an operational perspective, this vulnerability is particularly concerning because it allows for remote exploitation. An attacker does not need physical access or local authentication privileges on the target system; instead, they can initiate attacks over a network connection. This significantly expands the attack surface and increases the likelihood of successful compromise by malicious actors scanning for vulnerable services. Although the exploitability is described as difficult and the nature of the attack highly complex, this difficulty often relates to the precise timing required or specific environmental conditions needed rather than an absence of vulnerability. The fact that a public proof-of-concept has been disclosed further elevates the risk level, as it lowers the barrier to entry for less sophisticated attackers who may utilize existing tools derived from the published exploit code.
The classification of this issue aligns with Common Weakness Enumeration (CWE) standards, specifically CWE-362 which covers concurrent execution using shared resources with improper synchronization. This type of weakness is frequently associated with attacks that aim to bypass authentication or privilege controls by manipulating state during a critical section of code. In the context of the MITRE ATT&CK framework, this vulnerability could facilitate techniques related to Privilege Escalation if it allows an unprivileged user to gain higher-level access through race conditions in permission checks, or potentially Impact-related tactics such as Data Manipulation if integrity controls are bypassed via concurrent writes. The lack of a response from the project maintainers despite early notification suggests that users must rely on community-driven patches or manual mitigation strategies until official updates are released.
Mitigation for this vulnerability requires immediate attention to input validation and concurrency control within the affected core/user.py module. Developers should implement robust locking mechanisms, such as mutexes or semaphores, around any code blocks that access shared variables dependent on the vId argument. Additionally, implementing atomic operations where possible can prevent the interleaving of instructions that leads to race conditions. For system administrators unable to apply immediate patches due to the lack of a vendor response, network-level controls should be employed. This includes restricting access to the Telemetry Endpoint service to trusted IP addresses only and deploying intrusion detection systems configured to detect patterns associated with rapid, concurrent requests targeting user endpoints. Regular code audits focusing on thread safety are essential for long-term resilience against such concurrency-related flaws in Python-based applications.