CVE-2026-47480

CVE-2026-47480 affects NVIDIA Triton Inference Server for Linux. The vulnerability involves an attacker-caused uncaught exception in the server, with the documented impact of a potential denial of service. Concrete technical details across connected documents indicate the affected software (Trito...

CVE-2026-47480

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause an uncaught exception. A successful exploit of this vulnerability might lead to denial of service...

CVE-2026-47480

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause an uncaught exception. A successful exploit of this vulnerability might lead to denial of service...

CVE-2026-47479

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause uncontrolled resource consumption. A successful exploit of this vulnerability might lead to denial of service...

CVE-2026-47479

NVIDIA Triton Inference Server for Linux is affected by CVE-2026-47479, where an attacker can cause uncontrolled resource consumption, potentially leading to denial of service. The NVIDIA security bulletin indicates this as a Denial of Service vector with CVSS v3.1 base score 7.5 (Network, Low At...

CVE-2026-47479

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause uncontrolled resource consumption. A successful exploit of this vulnerability might lead to denial of service...

CVE-2026-47478

CVE-2026-47478 affects NVIDIA Triton Inference Server for Linux. The issue allows an attacker to cause the use of an expired file descriptor, with the documented impact being denial of service. NVIDIA’s security bulletin recommends updating to Triton Server 26.05 or later (Linux) to address the v...

CVE-2026-47477

The CVE-2026-47477 entry affects NVIDIA Triton Inference Server for Linux. Root cause: a stack-based buffer overflow in a component used by the server, which can lead to a Denial of Service. Impact: availability loss with attacker-initiated network access (no authentication, no user interaction)....

CVE-2026-47477

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause a stack-based buffer overflow. A successful exploit of this vulnerability might lead to denial of service...

CVE-2026-47477

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause a stack-based buffer overflow. A successful exploit of this vulnerability might lead to denial of service...

CVE-2026-47476

CVE-2026-47476 affects the NVIDIA Triton Inference Server for Linux. The vulnerability allows an attacker to trigger uncontrolled resource consumption, with potential denial of service. The public documents consistently describe this as a DoS risk, but do not provide exploit details or precise ro...

Security Bulletin: NVIDIA Triton Inference Server - July 2026

NVIDIA has released a software update for NVIDIA® Triton Inference Server. To protect your system, clone or update this software to Triton Server r26.05 or later from the NVIDIA Triton Inference Server GitHub repo. Go to NVIDIA Product Security. Details The following table summarizes the potentia...

PT-2026-58761

Name of the Vulnerable Software and Affected Versions NVIDIA Triton Inference Server for Linux affected versions not specified Description An issue exists that allows an attacker to cause uncontrolled resource consumption. This flaw is network exploitable and requires no authentication, which may...

PT-2026-58759

Name of the Vulnerable Software and Affected Versions NVIDIA Triton Inference Server for Linux affected versions not specified Description A stack-based buffer overflow exists in the software, which occurs when a program writes more data to a buffer located on the stack than the buffer is allocat...

PT-2026-58762

Name of the Vulnerable Software and Affected Versions NVIDIA Triton Inference Server for Linux affected versions not specified Description An issue exists where an attacker can trigger an uncaught exception. This flaw is network exploitable and requires no authentication, which may lead to a deni...

PYSEC-2026-3064 SGLang: Reachable Assertion via  lora_path  in LoRAManager enables remote Denial of Dervice

A security vulnerability has been detected in SGLang 0.5.10.post1. Impacted is an unknown function of the file python/sglang/srt/lora/loramanager.py of the component Inference HTTP Endpoint. Such manipulation of the argument lorapath leads to reachable assertion. The attack can be launched...

PYSEC-2026-3060 Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler

Summary Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing...

PYSEC-2026-3211 Type confusion leading to segfault in Tensorflow

Impact The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion: python import tensorflow as tf @tf.function def test: y = tf.rawops.ConcatV2 values=1,2,3,4,5,6, axis = 0xb500005b return y test The axis argument...

Out of bounds read in Tensorflow

ImpactTensorFlow's type inference can cause a heap OOB read as the bounds checking is done in a DCHECK which is a no-op during production:ccif nodet.typeid != TFTUNSET int ix = inputidxi; DCHECKix nodet.argssize "input " i " should have an output " ix " but instead only has " nodet.argssize "...

PYSEC-2026-3249 Out of bounds read in Tensorflow

Impact TensorFlow's type inference can cause a heap OOB read as the bounds checking is done in a DCHECK which is a no-op during production: cc if nodet.typeid != TFTUNSET int ix = inputidxi; DCHECKix nodet.argssize "input " i " should have an output " ix " but instead only has " nodet.argssize "...