Stack-based Buffer Overflow Affecting nvidia-pytriton package, versions [0,]
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-NVIDIAPYTRITON-13720954
- published30 Dec 2025
- disclosed6 Aug 2025
- creditWill Vandevanter
Introduced: 6 Aug 2025
CVE-2025-23311 (opens in a new tab)How to fix?
There is no fixed version for nvidia-pytriton.
Overview
nvidia-pytriton is a PyTriton - Flask/FastAPI-like interface to simplify Triton's deployment in Python environments.
Affected versions of this package are vulnerable to Stack-based Buffer Overflow via the HTTP request handling code where alloca() is used to allocate memory on the stack. An attacker can cause a stack overflow by sending an HTTP request with chunked transfer encoding containing a large number of chunks.
Note: This vulnerability is only exploitable when using the default bundled Triton Server /pytriton/tritonserver/bin/tritonserver.
Workaround
It is possible to update the Triton Server binary to a patched version independently of PyTriton; See Building binaries from source.