Important: Red Hat Security Advisory: Red Hat AI Inference 3.4.5 (rocm)

Red Hat AI Inference 3.4.5 rocm is now available. Red Hat AI Inference...

Important: Red Hat Security Advisory: Red Hat AI Inference Model Optimization Tools 3.4.5 (cuda)

Red Hat AI Inference Model Optimization Tools 3.4.5 cuda is now available. Red Hat AI Inference Model Optimization Tools...

Important: Red Hat Security Advisory: Red Hat AI Inference 3.4.5 (cuda)

Red Hat AI Inference 3.4.5 cuda is now available. Red Hat AI Inference...

Important: Red Hat Security Advisory: Red Hat AI Inference 3.4.5 (cpu)

Red Hat AI Inference 3.4.5 cpu is now available. Red Hat AI Inference...

Important: Red Hat Security Advisory: Red Hat AI Inference 3.4.5 (spyre)

Red Hat AI Inference 3.4.5 spyre is now available. Red Hat AI Inference...

SUSE CVE-2026-90110

In the Linux kernel, the following vulnerability has been resolved: inetpeer: randomize RB-tree node comparison using SipHash The inetpeer rate limiting system stores peer entries in a Red-Black tree keyed deterministically on the remote IP address. Because tree lookups walk the RB-tree using...

CVE-2026-90110

In the Linux kernel, the following vulnerability has been resolved: inetpeer: randomize RB-tree node comparison using SipHash The inetpeer rate limiting system stores peer entries in a Red-Black tree keyed deterministically on the remote IP address. Because tree lookups walk the RB-tree using...

Important: Red Hat Security Advisory: Red Hat AI Inference Server 3.3.7 (CUDA)

Red Hat AI Inference Server 3.3.7 CUDA is now available. Red Hat® AI Inference Server...

Important: Red Hat Security Advisory: Red Hat AI Inference Server 3.3.7 (ROCm)

Red Hat AI Inference Server 3.3.7 ROCm is now available. Red Hat® AI Inference Server...

Important: Red Hat Security Advisory: Red Hat AI Inference Server 3.3.7 (Spyre)

Red Hat AI Inference Server 3.3.7 Spyre is now available. Red Hat® AI Inference Server...

Important: Red Hat Security Advisory: Red Hat AI Inference Server Model Optimization Tools 3.3.7 (CUDA)

Red Hat AI Inference Server Model Optimization Tools 3.3.7 CUDA is now available. Red Hat® AI Inference Server Model Optimization Tools...

CVE-2026-92971

InternLM LMDeploy through 0.17.0 contains a reachable assertion vulnerability in the DistServe decode migration loop that allows unauthenticated attackers to terminate the inference engine. Attackers can submit a migrationrequest with an empty remoteblockids list to trigger an AssertionError that...

CVE-2026-92971 InternLM LMDeploy through 0.17.0 Assertion Denial of Service

InternLM LMDeploy through 0.17.0 contains a reachable assertion vulnerability in the DistServe decode migration loop that allows unauthenticated attackers to terminate the inference engine. Attackers can submit a migrationrequest with an empty remoteblockids list to trigger an AssertionError that...

PT-2026-94458

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description The inetpeer rate limiting system uses a Red-Black tree to store peer entries keyed deterministically by remote IP address. Since lookups use standard lexicographical comparisons via the...

Inference-Engine Fingerprinting Attacks Are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape

Frontier AI models are rapidly gaining the ability to exploit vulnerabilities in complex pieces of software. The risk is not theoretical, as evidenced by recent sandbox escapes performed by frontier models at OpenAI and Anthropic. Discussions of how to sandbox inference stack components often foc...

SpliTEE: Improving LLM Inference on Trusted Hardware with Differentially Private GPU Outsourcing

User prompts provided to large language models LLMs may contain sensitive or private information that can be misused by remotely deployed models, such as through inadvertent memorization during retraining. One way to protect user prompts is to execute the LLM inside a trusted execution environmen...

vLLM: Cross-User Data Leak Vulnerability

SummaryAn integer overflow in the actandmulkernel kernel can cause the output of one user request to be incorporated into the response of another request within the same inference batch. Under certain conditions, the last request in a batch can receive a partial or complete copy of the first user...

PYSEC-2026-3935 vLLM: Cross-User Data Leak Vulnerability

Summary An integer overflow in the actandmulkernel kernel can cause the output of one user request to be incorporated into the response of another request within the same inference batch. Under certain conditions, the last request in a batch can receive a partial or complete copy of the first...

EUVD-2026-58066

vLLM: Cross-User Data Leak Vulnerability...

GHSA-7M6H-X95X-82Q5 vLLM: Cross-User Data Leak Vulnerability

Summary An integer overflow in the actandmulkernel kernel can cause the output of one user request to be incorporated into the response of another request within the same inference batch. Under certain conditions, the last request in a batch can receive a partial or complete copy of the first...