NVIDIA Triton Inference Server 代码问题漏洞

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 code issue vulnerability exists in NVIDIA Triton Inference Server that stems from not properly checking for exception conditions, which...

PT-2025-48973

Name of the Vulnerable Software and Affected Versions NVIDIA Triton Inference Server affected versions not specified Description NVIDIA Triton Inference Server is susceptible to a condition where an attacker can trigger an improper check for unusual or exceptional conditions by submitting...

Security Bulletin: NVIDIA Triton Inference Server - December 2025

NVIDIA has released a software update for NVIDIA Triton Inference Server to address the issue disclosed in this bulletin. To protect your system, install the latest release from the Triton Inference Server Releases page on GitHub, and view the Secure Deployment Considerations Guide. Go to NVIDIA...

CVE-2025-13644 MongoDB may be susceptible to Invariant Failure due to batched delete

MongoDB Server may experience an invariant failure during batched delete operations when handling documents. The issue arises when the server mistakenly assumes the presence of multiple documents in a batch based solely on document size exceeding BSONObjMaxSize. This issue affects MongoDB Server...

Distributed Edge Inference Changes Everything

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AutoGraphAD: A Novel Approach Using Variational Graph Autoencoders for Anomalous Network Flow Detection

Network Intrusion Detection Systems NIDS are essential tools for detecting network attacks and intrusions. While extensive research has explored the use of supervised Machine Learning for attack detection and characterisation, these methods require accurately labelled datasets, which are very...

Collaborative research by Microsoft and NVIDIA on real-time immunity

AI-Powered Threats Demand AI-Powered Defense While AI supports growth and innovation, it is also reshaping how organizations address faster, more adaptive security risks. AI-driven security threats, including “vibe-hacking”, are evolving faster than traditional defenses can adapt. Attackers can n...

Collaborative research by Microsoft and NVIDIA on real-time immunity

AI-Powered Threats Demand AI-Powered Defense While AI supports growth and innovation, it is also reshaping how organizations address faster, more adaptive security risks. AI-driven security threats, including “vibe-hacking”, are evolving faster than traditional defenses can adapt. Attackers can n...

Researchers Find Serious AI Bugs Exposing Meta, Nvidia, and Microsoft Inference Frameworks

Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence AI inference engines, including those from Meta, Nvidia, Microsoft, and open-source PyTorch projects such as vLLM and SGLang. "These vulnerabilities all traced back to t...

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...

How Worrying Are Privacy Attacks against Machine Learning?

In several jurisdictions, the regulatory framework on the release and sharing of personal data is being extended to machine learning ML. The implicit assumption is that disclosing a trained ML model entails a privacy risk for any personal data used in training comparable to directly releasing tho...

CVE-2025-63353

A vulnerability in FiberHome GPON ONU HG6145F1 RP4423 allows the device's factory default Wi-Fi password WPA/WPA2 pre-shared key to be predicted from the SSID. The device generates default passwords using a deterministic algorithm that derives the router passphrase from the SSID, enabling an...

EUVD-2025-93535

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 transient execution vulnerability in some AMD processors may allow an attacker to infer data from previous stores, potentially resulting in the leakage of privileged information...

NVIDIA Triton Inference Server 安全漏洞

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...

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...

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...

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...