Eclipse ThreadX NetX Duo DTLS DoS via Session Pool Exhaustion (v6.0-6.5.2)
CVE-2026-115215 Published on November 2, 2026
NetX Secure DTLS server allocates a session for each new source before the cookie exchange and never reclaims it, so spoofed datagrams exhaust the session pool
In Eclipse ThreadX NetX Duo versions 6.0 through 6.5.2.202603a, the NetX Secure DTLS server allocates a session from its fixed session pool for the first datagram from any unrecognised address and port, before the cookie exchange, and never releases a session whose handshake stalls. A remote, unauthenticated attacker can exhaust the pool with one spoofed datagram per source and deny DTLS service to legitimate clients until the application resets the sessions.
Vulnerability Analysis
CVE-2026-115215 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity and availability.
Weakness Types
Allocation of Resources Without Limits or Throttling
The software allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor.
Missing Release of Resource after Effective Lifetime
The software does not release a resource after its effective lifetime has ended, i.e., after the resource is no longer needed. When a resource is not released after use, it can allow attackers to cause a denial of service by causing the allocation of resources without triggering their release. Frequently-affected resources include memory, CPU, disk space, power or battery, etc.
Products Associated with CVE-2026-115215
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Affected Versions
Eclipse Foundation Eclipse ThreadX:- Version 6.0, <= 6.5.2.202603a is affected.
Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.