Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
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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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 Authentication Bypass Using an Alternate Path or Channel. NVIDIA Triton Inference Server contains a vulnerability where an attacker could cause an authentication bypass. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, denial of service, or information disclosure.
This vulnerability is only exploitable when using the default Triton Server binary bundled in /pytriton/tritonserver/bin/tritonserver.
It is possible to update the Triton Server binary to a patched version independently of PyTriton; See Building binaries from source.