NVIDIA Triton Underflow Causes DoS via Model Config & Input
CVE-2025-23335 Published on August 6, 2025
NVIDIA Triton Inference Server for Windows and Linux and the Tensor RT backend contain a vulnerability where an attacker could cause an underflow by a specific model configuration and a specific input. A successful exploit of this vulnerability might lead to denial of service.
Vulnerability Analysis
CVE-2025-23335 can be exploited with network access, and requires user privileges. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity, and a high impact on availability.
Weakness Type
What is an Integer underflow Vulnerability?
The product subtracts one value from another, such that the result is less than the minimum allowable integer value, which produces a value that is not equal to the correct result. This can happen in signed and unsigned cases.
CVE-2025-23335 has been classified to as an Integer underflow vulnerability or weakness.
Products Associated with CVE-2025-23335
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Affected Versions
NVIDIA Triton Inference Server Version All versions prior to 25.05 is affected by CVE-2025-23335Exploit 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.