CVE-2026-32788

Uncontrolled search path for some Approximate Bayesian Inference Framework before version on commit 484c949 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of...

CVE-2026-32788

Uncontrolled search path for some Approximate Bayesian Inference Framework before version on commit 484c949 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of...

EUVD-2026-56529

Uncontrolled search path for some Approximate Bayesian Inference Framework before version on commit 484c949 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of...

CVE-2026-32788: Uncontrolled Search Path Element

Uncontrolled search path for some Approximate Bayesian Inference Framework before version on commit 484c949 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of...

Once Poisoned, Arbitrarily Controlled: A Programmable Backdoor in VLMs

Existing vision-language model VLM backdoors are usually treated as static vulnerabilities: one-to-one and N-to-N attacks bind one or more triggers to a finite set of targets before victim training. This assumption substantially underestimates the threat. We show that a single poisoning phase can...

PT-2026-70338

Name of the Vulnerable Software and Affected Versions Approximate Bayesian Inference Framework versions prior to commit 484c949 Description An uncontrolled search path within Ring 3: User Applications allows an unprivileged software adversary to achieve escalation of privilege. This issue can be...

pytorch-clip-interrogator (>=2023.2.19.0, <=2023.2.19.1), stochasticx (>=0.0.14, <=0.0.19) +2 more potentially affected by CVE-2026-69112 via accelerate (0.14.0)

accelerate PYPI version 0.14.0 is affected by a known vulnerability. The following packages have a transitive dependency on accelerate and may be impacted: - pytorch-clip-interrogator =2023.2.19.0, =0.0.14, =0.1.0, =0.0.7, =0.0.9 Source cves: CVE-2026-69112 Source advisory: OSV:GHSA-4J2P-28Q2-5M7...

mlopspython-inference (>=67580760626172675.0.0, <=757069802391466481559610331145) potentially affected by CVE-2026-12484 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-2026-12484 Source advisory: OSV:PYSEC-2026-3634...

mlopspython-inference (>=67580760626172675.0.0, <=757069802391466481559610331145) potentially affected by CVE-2026-12480 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-2026-12480 Source advisory: OSV:PYSEC-2026-3629...

mlopspython-inference (>=67580760626172675.0.0, <=757069802391466481559610331145) potentially affected by CVE-2026-12481 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-2026-12481 Source advisory: OSV:PYSEC-2026-3631...

mlopspython-inference (>=67580760626172675.0.0, <=757069802391466481559610331145) potentially affected by CVE-2026-12570 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-2026-12570 Source advisory: OSV:GHSA-74M6-M3XX-3VMJ...

Governing the KV Cache: Preventing Timing Side-Channel Leakage in Multi-Tenant LLM Inference

The key-value KV cache is the primary throughput optimization in modern large language model LLM inference, enabling prefix reuse across requests. In multi-tenant deployments this cache is shared across tenants, creating a timing side channel: an adversarial tenant can reconstruct another tenant'...

Repeated-Game Security for Restaking-Based Verifiable Inference

Restaking-based protocols enable verifiable LLM inference without the high proving cost of zkML or the hardware trust assumptions of TEEs. Their security is commonly justified by a one-round slashing condition: a rational provider should not cheat when the expected penalty exceeds the cost saving...

LLM Prompt Injection Surface Detection

Probes OpenAI-compatible /v1/chat/completions, Ollama, and generic /api/chat endpoints for unauthenticated inference — prompt injection and tool abuse entry points. !/usr/bin/env python3 -- coding: utf-8 -- """Detect exposed LLM chat/completion endpoints prompt injection surface.""" from...

CVE-2026-44223

A flaw was found in vLLM, an inference and serving engine for large language models LLMs. The extracthiddenstates speculative decoding proposer returns a tensor with an incorrect shape after the first decode step. This can be triggered by a remote attacker sending a request that uses sampling...

The Hidden Life of Public Safety Communications Signals: A Comparative Security Analysis of TETRA, TETRAPOL, and P25

Public-safety agencies and critical infrastructure operators rely on trunked land-mobile radio LMR systems, based on P25, TETRA, and TETRAPOL. These systems are expected to protect not just the content of a communication but the fact of it. Yet LMR standards leave a stark gap between...

CVE-2026-47487

NVIDIA Triton Inference Server for Linux contains a vulnerability where a user could cause files outside the model repository to be read, written to, or modified by providing a path in the model name to the Triton MLflow plugin. A successful exploit of this vulnerability might lead to denial of...

EUVD-2026-52799

NVIDIA Triton Inference Server for Linux contains a vulnerability where a user could cause files outside the model repository to be read, written to, or modified by providing a path in the model name to the Triton MLflow plugin. A successful exploit of this vulnerability might lead to denial of...

Security Bulletin: NVIDIA Triton Inference Server - August 2026

NVIDIA has released a software update for NVIDIA® Triton Inference Server. To protect your system, clone or update this software to Triton Server r26.03 or later from the NVIDIA Triton Inference Server GitHub repo. Go to NVIDIA Product Security. Details The following table summarizes the potentia...

AirKey: Multimodal Acoustic-Assisted WiFi Sensing for Zero-Training Robust PIN Inference

Contactless keystroke inference via WiFi sensing highlights severe privacy threats, yet its real-world feasibility is hindered by two fundamental physical and deployment bottlenecks: the strict requirement for network privileges to acquire stable sensing streams, and the inherent "waveform fusion...