AI Sec Watch

NVIDIA Triton Inference Server for Windows and Linux has a vulnerability where an integer overflow or wraparound (a mistake in how the software handles very large numbers, causing them to wrap around to negative values) can occur when a user sends an invalid request, potentially causing a segmentation fault (a crash where the program tries to access memory it shouldn't). This could allow an attacker to cause a denial of service (making the service unavailable to legitimate users).

NVIDIA Triton Inference Server for Windows and Linux has a vulnerability where an integer overflow or wraparound (a bug where a number gets too large and wraps around to a very small value) can occur when a user sends an invalid request, potentially causing a segmentation fault (a crash where the program tries to access memory it shouldn't) and leading to denial of service (making the service unavailable to legitimate users). The vulnerability has a CVSS 4.0 severity rating (a 0-10 scale measuring how serious a vulnerability is).

NVIDIA Triton Inference Server for Windows and Linux has a vulnerability where a double free (a memory error where the same memory location is freed twice) can occur when multiple requests cancel a stream before it gets processed, potentially causing a denial of service (making the service unavailable). The vulnerability is tracked as CVE-2025-23322.

NVIDIA Triton Inference Server (software that runs AI models on Windows and Linux computers) contains a vulnerability where a user can send a specially crafted invalid request that causes a divide by zero error (attempting to divide a number by zero, which crashes the system). This could allow an attacker to cause a denial of service attack (making the service unavailable to legitimate users).

NVIDIA Triton Inference Server for Windows and Linux has a vulnerability in its Python backend where an attacker can send an extremely large request to exceed the shared memory limit (a pool of fast memory shared between processes), potentially exposing sensitive information. The vulnerability has a CVSS 4.0 severity rating, which measures how serious security flaws are on a scale of 0-10.

NVIDIA Triton Inference Server for Windows and Linux has a vulnerability in its Python backend where an attacker can send a specially crafted request to cause an out-of-bounds write (writing data outside the intended memory location). This could allow remote code execution (running malicious commands on the system), denial of service (making the system unavailable), data tampering (changing data), or information disclosure (exposing sensitive information).

CVE-2025-23318 is a vulnerability in NVIDIA Triton Inference Server (a tool that runs AI models for predictions) on Windows and Linux where an attacker could cause an out-of-bounds write (writing data outside the intended memory location) in the Python backend component. If successfully exploited, this could allow an attacker to execute code, crash the system, change data, or steal information.

NVIDIA Triton Inference Server has a vulnerability in its HTTP server (CVE-2025-23317) where an attacker could send a specially crafted HTTP request to start a reverse shell (a remote connection giving the attacker control of the system). This could allow remote code execution (running commands on a system without permission), denial of service (making the system unavailable), data tampering, or information disclosure.

NVIDIA Triton Inference Server has a vulnerability (CVE-2025-23311) where an attacker can send specially crafted HTTP requests to cause a stack overflow (a memory error where too much data is written to a limited storage area). This could allow remote code execution (running malicious commands on the server), denial of service (making the server unavailable), information disclosure (leaking data), or data tampering (modifying stored information).