2022 matches found
CVE-2025-33202
NVIDIA Triton Inference Server for Linux and Windows contains a vulnerability where an attacker could cause a stack overflow by sending extra-large payloads. A successful exploit of this vulnerability might lead to denial of service...
CVE-2025-33202
NVIDIA Triton Inference Server for Linux and Windows contains a vulnerability where an attacker could cause a stack overflow by sending extra-large payloads. A successful exploit of this vulnerability might lead to denial of service...
CVE-2025-33202
NVIDIA Triton Inference Server for Linux and Windows contains a vulnerability where an attacker could cause a stack overflow by sending extra-large payloads. A successful exploit of this vulnerability might lead to denial of service...
kernel: information leak via transient execution vulnerability in some AMD processors
A flaw was found in AMD processors. This transient execution vulnerability may allow an unprivileged local attacker to cause information disclosure of privileged data. By exploiting how the processor speculatively processes instructions ahead of time, an attacker can infer sensitive data from...
PT-2025-46377
Name of the Vulnerable Software and Affected Versions NVIDIA Triton Inference Server for Linux and Windows affected versions not specified Description The NVIDIA Triton Inference Server is susceptible to a stack overflow condition triggered by the reception of excessively large payloads...
NVIDIA Triton Inference Server security vulnerabilities
NVIDIA Triton Inference Server is an open source software from NVIDIA that helps standardize model deployment and deliver fast and scalable AI in production. A security vulnerability exists in NVIDIA Triton Inference Server that stems from an attacker sending an oversized payload could lead to a...
Security Bulletin: NVIDIA Triton Inference Server- November 2025
NVIDIA has released a software update for NVIDIA Triton Inference Server. To protect your system, download and install the latest release from the Triton Inference Server Releases page on GitHub and view the Secure Deployment Considerations Guide. Go to NVIDIA Product Security. Details The...
CVE-2025-33202: Stack-based Buffer Overflow
NVIDIA Triton Inference Server for Linux and Windows contains a vulnerability where an attacker could cause a stack overflow by sending extra-large payloads. A successful exploit of this vulnerability might lead to denial of service...
Microsoft Uncovers 'Whisper Leak' Attack That Identifies AI Chat Topics in Encrypted Traffic
Microsoft has disclosed details of a novel side-channel attack targeting remote language models that could enable a passive adversary with capabilities to observe network traffic to glean details about model conversation topics despite encryption protections under certain circumstances. This...
CVE-2025-64492
SuiteCRM is an open-source, enterprise-ready Customer Relationship Management CRM software application. Versions 8.9.0 and below contain a time-based blind SQL Injection vulnerability. This vulnerability allows an authenticated attacker to infer data from the database by measuring response times,...
NVIDIA Triton Inference Server DoS
The vulnerability of the software for deploying and executing AI models developed by NVIDIA Triton Inference Server previously known as TensorRT Inference Server is related to insufficient validation of input data. Exploiting this vulnerability can allow a malicious actor to cause service failure...
NVIDIA Triton Inference Server Access Control DoS
The vulnerability of the software for deploying and executing NVIDIA Triton Inference Server previously known as TensorRT Inference Server is related to access control errors. Exploiting this vulnerability could allow a malicious actor to trigger service failures...
NVIDIA Triton Inference Server Buffer Overflow DoS
The vulnerability of the software for deploying and executing NVIDIA Triton Inference Server previously known as TensorRT Inference Server relates to buffer overflow attacks. Exploiting this vulnerability could allow a malicious actor to cause service failures...
USN-7848-1 amd64-microcode vulnerabilities
Oleksii Oleksenko, Cedric Fournet, Jana Hofmann, Boris Köpf, Stavros Volos, and Flavien Solt discovered that some AMD processors may allow an attacker to infer data from previous stores. A local attacker could possibly use this issue to expose sensitive information. This update provides the updat...
USN-7848-1: AMD Microcode vulnerabilities
Oleksii Oleksenko, Cedric Fournet, Jana Hofmann, Boris Köpf, Stavros Volos, and Flavien Solt discovered that some AMD processors may allow an attacker to infer data from previous stores. A local attacker could possibly use this issue to expose sensitive information. This update provides the updat...
mlopspython-inference (>=67580760626172675.0.0, <=757069802391466481559610331145) potentially affected by CVE-2025-12058 via keras (2.12.0rc0)
keras PYPI version 2.12.0rc0 is affected by a known vulnerability. The following packages have a transitive dependency on keras and may be impacted: - mlopspython-inference =67580760626172675.0.0, =757069802391466481559610331145 Source cves: CVE-2025-12058 Source advisory: OSV:GHSA-MQ84-HJQX-CWF2...
Enabling AI Everywhere with Akamai Inference Cloud
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CVE-2025-62524 PILOS Exposes PHP version
PILOS Platform for Interactive Live-Online Seminars is a frontend for BigBlueButton. PILOS before 4.8.0 exposes the PHP version via the X-Powered-By header, enabling attackers to fingerprint the server and assess potential exploits. This information disclosure vulnerability originates from PHP’s...
Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses
Multimodal large language models MLLMs comprise of both visual and textual modalities to process vision language tasks. However, MLLMs are vulnerable to security-related issues, such as jailbreak attacks that alter the model's input to induce unauthorized or harmful responses. The incorporation o...
PT-2025-43445
Name of the Vulnerable Software and Affected Versions The product name cannot be determined. affected versions not specified Description The router’s inconsistent response to invalid course IDs allowed attackers to infer which course IDs exist, potentially aiding reconnaissance. This could assist...