Search: “gpu-security”

Chaotic Eclipse Released GreenSection, A PoC For NVIDIA Memory Corruption Zero-Day

Researcher Chaotic Eclipse released GreenSection, a PoC exploiting an unpatched out-of-bounds write in NVIDIA Windows user-mode shared memory.

Security researcher Chaotic Eclipse disclosed an out-of-bounds write in NVIDIA's Windows user-mode components, which share a global memory section (\BaseNamedObjects\{52813408-3561-4705-820a-2b3b78be92ba}) with full read/write access to all users. The PoC crashes applications running Vulkan or OpenGL; the researcher says the bug could cross user boundaries or compromise dwm.exe but did not fully assess the impact. No CVE has been assigned and no patch is mentioned. The researcher recently released zero-day PoCs against Kaspersky, Avast, and CrowdStrike Falcon.

Security Affairs·Sep 7, 13:42 UTC · 9d agoExploit / PoC 2 sources

Towards Standardized Evaluation of GPU Memory Safety with GMSBench

GMSBench provides 149 CUDA tests covering spatial, temporal, and concurrency GPU memory errors, exposing detection gaps in Compute Sanitizer.

GMSBench is a GPU memory safety benchmark comprising 149 self-contained CUDA tests spanning spatial, temporal, and concurrency errors across different GPU memory spaces and execution scenarios. The authors evaluate NVIDIA's Compute Sanitizer across multiple GPU architectures using the suite, exposing gaps in its detection coverage. The benchmark offers a standardized foundation for comparative evaluation of GPU memory safety mechanisms.

arXiv cs.CR·Sep 8, 15:11 UTC · 8d agoResearch

GPUThor: Amplifying Rowhammer Attacks via Non-Uniform Patterns to Exploit ECC-Protected GPUs

GPUThor uses non-uniform hammering to amplify Rowhammer on NVIDIA GPUs, achieving 500X-23,500X more bit flips and first exploits of ECC-protected GPUs.

GPUThor is a Rowhammer attack on NVIDIA GPUs that reverse-engineers memory-access coalescing behavior to enable non-uniform hammering patterns activating aggressor rows more intensely than decoy rows. By identifying refresh instances where in-DRAM mitigations apply, it constructs longer patterns that escape mitigation across refresh intervals. It yields 500X to 23,500X more bit flips than prior GPU Rowhammer attacks across NVIDIA A4000, A4500, A5000, and A6000 GPUs, and enables the first Rowhammer exploits on ECC-protected GPUs via uncorrectable double and triple bit flips, making denial-of-service and privilege-escalation attacks practical.

arXiv cs.CR·Sep 15, 02:46 UTC · 1d agoResearch

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

SpliTEE splits LLM inference between Intel TDX trusted execution and untrusted GPUs, using differential privacy instead of encryption to protect intermediate representations.

SpliTEE extends split inference to LLMs, running inference partly inside an Intel TDX TEE while masking intermediate inputs sent to untrusted GPUs with differential privacy rather than encryption. The authors show a prompt-reconstruction attack recovers nearly 80% of prompts from unmasked intermediate representations, motivating the masking. A global sensitivity analysis bounds the required DP noise scale, avoiding quantization and keeping models in floating point. The implementation is nearly twice as fast as full CPU-based TDX inference and 5-15 seconds faster than encryption-based Slalom with higher accuracy, evaluated on Llama-3.2-3B and Qwen3-4B.

arXiv cs.CR·Sep 14, 04:55 UTC · 2d agoResearch

OPEN-1B: A Fully Auditable Training Run

Open-1B releases a 1B-parameter model with bitwise-reproducible training, letting independent auditors verify every step of the run on commodity hardware.

The paper introduces a 'fully auditable' tier of model transparency: every training operation is reproducible with bitwise certainty on heterogeneous commodity hardware by imposing definite ordering on GPU kernel reductions, data batch ordering, and collective communication. Because replaying a full run on one machine is infeasible, a collective verification scheme lets many independent auditors certify individual steps covering the whole run. The authors release Open-1B with its full pretraining dataset, every intermediate checkpoint, the training codebase, and an audit harness. This rules out undisclosed data, injected biases, or backdoors that proof-of-learning or proof-of-training-data techniques cannot exclude.

arXiv cs.AI / cs.LG / cs.CL·Sep 15, 16:23 UTC · 1d agoAI research

Chipmaker Patch Tuesday: Nvidia, AMD, Arm Issue Security Advisories

AMD, Arm, and Nvidia issued Patch Tuesday advisories fixing a Linux GPU driver DoS flaw, nine Mali GPU vulnerabilities, and two high-severity Triton defects.

AMD fixed CVE-2026-43603, a NULL pointer dereference in its Linux GPU kernel driver that can crash systems and cause denial-of-service, credited to SecMate researchers, with patches for EPYC, Ryzen, Radeon, and Instinct shipped in July and embedded variants due in October. Arm published an advisory covering nine Mali GPU vulnerabilities allowing use-after-free access, kernel information leaks, or DoS, releasing fixes for Valhall and 5th Gen GPU Architecture drivers, with Bifrost also affected. Nvidia updated Triton Inference Server for Linux to resolve two high-severity flaws, one causing DoS and one enabling information disclosure, data tampering, and DoS. Intel had issued no new advisories since the previous Patch Tuesday.

SecurityWeek·Sep 9, 16:22 UTC · 7d agoAdvisoryCVE-2026-43603

NVIDIA security advisory (AV26-849)

Canada's Cyber Centre relayed NVIDIA security advisories covering vulnerabilities in NemoClaw, OpenShell, Unified Fabric Manager, and DGX Spark.

The Canadian Centre for Cyber Security issued bulletin AV26-849 flagging NVIDIA vulnerabilities across NemoClaw and OpenShell (multiple versions), NVIDIA Unified Fabric Manager (multiple versions and models), and DGX Spark (versions prior to 1.110.13). The advisory links to NVIDIA security bulletins and urges users and administrators to apply updates as they become available. No exploitation details or CVE identifiers are enumerated in the advisory text.

Canadian Centre for Cyber Security·Aug 26, 14:17 UTC · 21d agoAdvisory

USN-8748-1: Linux kernel (NVIDIA) vulnerabilities

Ubuntu released USN-8748-1 patching multiple Linux kernel (NVIDIA) vulnerabilities across networking, file system, and crypto subsystems.

Ubuntu issued security notice USN-8748-1 fixing several Linux kernel vulnerabilities affecting the NVIDIA Tegra memory controller driver, hardware crypto device drivers, and network drivers, among others. Affected subsystems include GFS2, OCFS2, and SMB file systems, B.A.T.M.A.N. meshing, Ceph, Netfilter, Open vSwitch, IPv4/IPv6, RxRPC, SCTP, and TIPC. An attacker could potentially exploit these flaws to compromise the system.

Ubuntu Security Notices·Sep 10, 15:32 UTC · 6d agoAdvisoryCVE-2026-52914CVE-2026-52931CVE-2026-52955+8 CVEs

USN-8760-1: Linux kernel (NVIDIA) vulnerabilities

Canonical issues USN-8760-1 patching multiple Linux kernel (NVIDIA) vulnerabilities across numerous subsystems and CPU architectures.

Canonical published USN-8760-1 to correct several Linux kernel (NVIDIA) vulnerabilities that an attacker could possibly use to compromise the system. The update fixes flaws spanning UAPI, the kernel build system, ARM32, ARM64, RISC-V, S390, and x86 architectures. Patched subsystems also include the block layer, cryptographic API, Compute Acceleration Framework, Intel NPU driver, ACPI and Bluetooth drivers, and the hardware random number generator core.

Ubuntu Security Notices·Sep 15, 09:15 UTC · 1d agoAdvisory

Understanding the Security Boundary of Obfuscation-based On-Device LLM Protection

Researchers formalize obfuscation primitives for TEE-protected on-device LLMs and show a Collapse attack breaks ArrowCloak, TSQP, and LoRO, then extend the boundary.

The paper formalizes obfuscation primitives for TEE-Shielded LLM Partition (TSLP) schemes that offload computationally intensive layers from a Trusted Execution Environment to external GPUs. A novel primitive-guided attack, Collapse, demonstrates a shared vulnerability in prominent published methods including ArrowCloak (Security'25), TSQP (S&P'25), and LoRO (NeurIPS'25). The authors then introduce two new obfuscation primitives and integrate them with existing constructs to formulate an extended security boundary (O_ext).

arXiv cs.CR·Sep 9, 12:51 UTC · 7d agoAI safety & security

You Shall Not Pass into Ring-0! A User Privacy-Friendly Anti-Cheat Architecture for Personal Computers

Tirith replaces invasive kernel-level game anti-cheats with protected VMs and a dual-trusted virtualization monitor, preserving detection and near-native performance.

Researchers present Tirith, an anti-cheat architecture that runs video games in Protected Virtual Machines, sandboxing computations from untrusted root admins, and uses a virtualization monitor trusted by both players and developers to watch for malicious drivers. This removes the need for privacy-invasive ring-0 kernel anti-cheat components while matching their protection against a wide range of cheating mechanisms. To overcome VM stack limitations, the work contributes a security-focused Library OS kernel for games and an efficient graphics sharing pipeline for near-native rendering performance.

arXiv cs.CR·Sep 15, 17:56 UTC · 1d agoResearch

CUDA for AMD on Windows

GitHub project 'CUDA for AMD on Windows' trends on Hacker News, aiming to run CUDA workloads on AMD GPUs under Windows.

A GitHub repository named CUDA-for-AMD-Windows drew 45 points and 5 comments on Hacker News. The project targets making NVIDIA's CUDA software stack work on AMD GPUs under Windows, which matters to developers running GPU compute or inference on non-NVIDIA hardware. No security impact is described.

Hacker News · AI·Sep 13, 14:25 UTC · 3d agoAI tools & infraHN 45↑ · 5 comments1

ZDI-26-564: NVIDIA Transformers4Rec load_model_trainer_states_from_checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability

ZDI discloses CVE-2026-24232, a CVSS 7.8 deserialization RCE in NVIDIA Transformers4Rec's load_model_trainer_states_from_checkpoint function.

The Zero Day Initiative published ZDI-26-564, a deserialization of untrusted data vulnerability in NVIDIA Transformers4Rec. Remote code execution is possible, but exploitation requires user interaction such as visiting a malicious page or opening a malicious file. The flaw is tracked as CVE-2026-24232 with a CVSS score of 7.8.

ZDI Published Advisories·Aug 13, 05:00 UTC · Aug 13, 2026AdvisoryCVE-2026-24232

GPU-CFR: 80x Faster Counterfactual Regret Minimization by Compiling the Game to Static Dataflow and CUDA Graph Replay

GPU-CFR compiles counterfactual regret minimization into static dataflow with CUDA Graph Replay, achieving 29.8-80.4x speedups over prior GPU solvers.

The paper presents a compiler and runtime that turns any fixed game's CFR iteration into a static dataflow graph of flat arrays and precomputed indices, cutting framework operations by up to 18.1x. Because shapes and buffer addresses never change, CUDA Graph Replay records the iteration once and replays it with a single launch. On one A100 across an eight-game suite, GPU-CFR runs 29.8-80.4x faster than the fastest prior GPU CFR and 14-258x faster than the CPU implementation LiteEFG on the four largest games, while reproducing reference iterates bitwise on CPU.

arXiv cs.AI / cs.LG / cs.CL·Sep 10, 17:58 UTC · 6d agoAI research3· 1 read

AMD security advisory (AV26-879)

Canadian Centre for Cyber Security advisory AV26-879 lists vulnerabilities across AMD EPYC, Ryzen, Threadripper, Instinct, and embedded processors, urging updates.

The September 3, 2026 advisory states AMD is affected by processor vulnerabilities as of September 2, 2026, spanning 2nd-4th Gen EPYC, Ryzen 3000-7045 series, Athlon, Threadripper, Radeon PRO V620, Instinct MI300A, and embedded product lines. It specifies required microcode package versions for each affected family and encourages users and administrators to review AMD's links and apply updates as they become available.

Canadian Centre for Cyber Security·Sep 3, 15:05 UTC · 13d agoAdvisory

USN-8728-1: Linux kernel (GCP) vulnerabilities

Ubuntu issued kernel security update USN-8728-1 for GCP kernels fixing Arm TLB and AMD Zen 2 privilege escalation flaws (CVE-2025-10263, CVE-2025-54518).

Ubuntu released USN-8728-1, a security update for the Linux kernel used on Google Cloud Platform images. It fixes CVE-2025-10263, where certain Arm processors complete broadcast TLB invalidation before memory writes are globally observed, allowing local attackers to bypass memory protections or escalate privileges, and CVE-2025-54518, an AMD Zen 2 operation cache isolation flaw that can corrupt higher-privilege instructions. The notice also corrects several other kernel security issues.

Ubuntu Security Notices·Sep 7, 09:05 UTC · 9d agoAdvisory 6 sourcesCVE-2025-10263CVE-2025-54518

Speculative Decoding in vLLM on AMD GPUs

vLLM benchmarks speculative decoding on AMD Instinct MI300X and MI355X GPUs across five drafting methods including EAGLE-3 and native MTP.

The vLLM project documents draft-and-verify speculative decoding support for AMD GPUs via ROCm, comparing native MTP, Gemma 4 MTP, EAGLE-3, DFlash, and DSpark drafting approaches. Output-token throughput effects varied with drafting method, proposal length, model family, draft checkpoint, workload, and acceptance behavior. The post also covers how to enable each method plus practical tuning and observability considerations.

Hacker News · AI·Sep 7, 09:26 UTC · 9d agoAI tools & infraHN 141↑ · 52 comments1

Trusting-Trust Attack against an Entire Linux Distribution (via the strip utility)

ArXiv paper shows the trusting-trust compiler backdoor technique can compromise an entire Linux distribution via the strip utility.

The paper (arXiv 2607.24888) demonstrates that Ken Thompson's trusting-trust attack, long viewed as a compiler-specific threat, can backdoor an entire Linux distribution by targeting the strip utility. A compromised tool reproduces its backdoor in subsequent rebuilds of itself, generalizing the attack surface beyond compilers. The finding has supply-chain implications for build reproducibility and distribution trust, though it is a research result with no observed real-world exploitation.

Lobsters · security·Sep 5, 10:58 UTC · 11d agoResearch

NVIDIA Announces CUDA Rust with cuda-oxide (SIMT) and cutile-rs (Tile) for Compile-Time-Safe GPU Kernels

NVIDIA launches CUDA Rust via open-source cuda-oxide (SIMT) and cutile-rs (Tile), bringing compile-time-safe Rust GPU kernels.

NVIDIA announced CUDA Rust, making Rust a first-class language for GPU kernels through two NVlabs open-source projects: cuda-oxide for the SIMT model and cutile-rs for the Tile model. Both use Rust's ownership and borrow checker to catch buffer aliasing bugs at compile time. cutile-rs is published on crates.io, runs on stable Rust 1.89+ with CUDA 13.3, and is already used in Hugging Face's Grout inference engine and mistral.rs; cuda-oxide is early alpha requiring nightly Rust, CUDA 12.x, and compute capability 8.0+. cuda-oxide compiles Rust MIR through the community Pliron IR framework and LLVM to PTX, while cutile-rs JIT-compiles kernels via CUDA Tile IR.

MarkTechPost·Sep 8, 19:51 UTC · 8d agoAI tools & infra2

SCHERI: Provably Secure Speculation Under the Constant-Time Policy for CHERI (Extended Version)

Researchers formally prove existing CHERI speculation proposals leak secrets and present SCHERI, a processor design with end-to-end Spectre-resistant constant-time guarantees.

The paper builds a formal framework reasoning jointly about capability safety, speculative execution, and information-flow security on CHERI architectures. It demonstrates that existing secure-speculation proposals fail to preserve constant-time confidentiality guarantees and can transiently leak isolated secrets. The authors present SCHERI, a new processor design formally proven to provide end-to-end secure speculation for the constant-time policy, resilient to Spectre attacks.

arXiv cs.CR·Sep 15, 16:33 UTC · 1d agoResearch

Inside NVIDIA’s cuDNN Graph API: Fusion, Autotuning, and Plan Reuse with cuDNN Frontend

MarkTechPost tutorial walks through NVIDIA's cuDNN Frontend graph API, covering kernel fusion, autotuning, plan reuse, and CUDA graph capture on Colab GPUs.

The tutorial explains how to express GPU computations as operation graphs via the cuDNN Frontend graph API, running the five-step build pipeline of validate, build operation graph, create execution plans, check support, and build plans. It progresses from a single fused convolution with bias and ReLU to autotuning across engine configs, FP8-style epilogues, attention, plan serialization, dynamic shapes, and CUDA graph capture. Each kernel is benchmarked against a PyTorch reference on a single Colab GPU to verify correctness and measure cost. The piece also covers practical setup issues like making libcudnn.so visible to the frontend's dynamic loader.

MarkTechPost·Sep 15, 21:37 UTC · 1d agoAI tools & infra2

Why Scaling AI Compute Performance Requires a New Power Architecture

NVIDIA argues AI factories need 800 VDC power distribution as dense GPU racks outgrow traditional AC-based delivery.

NVIDIA's blog contends each generation of accelerated computing demands higher rack density and more efficient, scalable power distribution. It frames the bottleneck as how power moves from the grid to the GPU rather than raw wattage, and describes limitations of traditional AC power delivery. NVIDIA advocates a new 800 VDC power architecture for AI factories.

NVIDIA Blog·Aug 11, 15:00 UTC · Aug 11, 2026AI industry

NVIDIA Group Proposes SAFE Initiative for Agentic Threat Intel Sharing

Infosecurity Magazine·Aug 6, 08:30 UTC · Aug 6, 2026Vulnerability

Forging Tree-Ring: Reproducing and Instrumenting Black-Box Semantic Watermark Forgery

Reprompt watermark forgery reproduces on Stable Diffusion XL using free-tier T4 GPUs, with forged images accepted by the genuine detector 5 of 6 times.

The authors reproduce the Reprompt forgery attack of Müller et al. against Tree-Ring watermarking on Stable Diffusion XL using the released code on free-tier dual T4 GPUs with 14.6 GB usable memory, versus the A40 hardware of the original study. Over six trials, the genuine detector flagged genuine images 6/6, clean images 0/6, and forged images 5/6, at 325-332 seconds per attack. They also recovered the detector's discarded non-central chi-square statistic and built two natural scores separating forged images from the clean null at AUC 0.861 and 0.972. The notebook, pinned fork, and all measurement artifacts are released with the paper.

arXiv cs.CR·Sep 11, 14:35 UTC · 5d agoResearch

Perplexity Details Its GPU Embedding Stack: How Ivy, Tulip and ROSE Serve pplx-embed

Perplexity details its GPU embedding serving stack (Ivy, Tulip, ROSE), which reuses LLM prefill/decode kernels, CUDA graphs, and LazyTensors to cut launch overhead.

Perplexity engineers published a deep dive on the serving infrastructure behind pplx-embed, used across Perplexity Search and its API platform. The stack comprises Ivy (Rust HTTP gateway), Tulip (gRPC scheduling and batching), and ROSE (Runtime-Optimized Serving Engine), which reuses LLM prefill and decode kernels rather than running a separate embedding engine. Optimizations include whole-model CUDA graphs with lazy capture and a LazyTensor abstraction that overlaps CPU batch preparation with in-flight GPU work. Benchmarks are reported against vLLM v0.22.0 in BF16, with FlashAttention 4 generally fastest but FlashInfer 3 winning on Qwen-based models at very long sequence lengths.

MarkTechPost·Sep 6, 03:20 UTC · 10d agoAI tools & infra1

[hardware] Fullhan FH8626V100 - Multiple Vulnerabilities

Multiple vulnerabilities in the Fullhan FH8626V100 hardware chip have been disclosed alongside public proof-of-concept exploits.

Exploit-DB lists an entry covering multiple vulnerabilities in the Fullhan FH8626V100, a hardware component. The listing provides no CVE ids, vulnerability classes, or evidence of in-the-wild exploitation. Impact is likely limited to devices embedding the affected chip.

Exploit-DB·Sep 2, 00:00 UTC · 14d agoExploit / PoC

Hoss: Fast Oblivious Semantic Search with Heterogeneous GPU-CPU-TEE Architecture

Hoss uses heterogeneous GPU-CPU TEEs for oblivious semantic search, achieving up to 67x speedup over the Compass ORAM-based system.

Hoss is a first-of-its-kind oblivious semantic search system built on a heterogeneous CPU-GPU TEE architecture, hosting hot-path HNSW graph traversal in large GPU TEE private memory and offloading lower graph layers to CPU TEEs. It invokes oblivious primitives only for lower-layer accesses and adds host-access ORAM and data-dependent optimizations. Benchmarked against prior state-of-the-art Compass, the prototype achieves up to 67x speedup while maintaining high recall, with larger gains at scale.

arXiv cs.CR·Sep 3, 22:21 UTC · 13d agoResearch

Securing the Infrastructure of Intelligence

NVIDIA positions AI factories combining chips, networking, power and data as the defining infrastructure of the AI economy needing full-stack security.

NVIDIA's blog argues that AI factories are the defining infrastructure of the AI era, transforming energy and data into intelligence that powers businesses and countries. It frames compute as revenue and lists the full stack of critical resources required: advanced chips, packaging, memory, networking, land and power. The piece is a corporate positioning article about securing this infrastructure, with no specific incident or product announcement detailed in the excerpt.

NVIDIA Blog·Aug 17, 12:34 UTC · Aug 17, 2026AI industry

The gpg.fail aftermath: On responsible disclosure, GPG, and the state of security in 2026 [32:37]

A conference talk recounts GPG vulnerability disclosures, notes several GnuPG flaws remain unpatched, and demonstrates novel bugs live.

A researcher who disclosed multiple GnuPG vulnerabilities before 39c3 in December 2025 reports that several flaws, including one allowing spoofed PGP signatures, remain unpatched. Memory corruption in the basic PGP message parser was properly fixed, but GnuPG maintainer Werner Koch declared a widely-used feature 'harmful' instead of patching it. The talk presents additional novel GPG vulnerabilities and commentary on responsible disclosure and LLMs in security.

Lobsters · security·Sep 12, 17:24 UTC · 4d agoResearch