The vulnerability of the vLLM library for working with large language models involves uncontrolled resource consumption, allowing attackers to trigger a service failure.

The vulnerability of the vLLM library for working with large language models is related to an uncontrolled resource consumption. Exploiting this vulnerability could allow a malicious actor to cause service failures by sending specially crafted HTTP requests...

CVE-2026-44223

vLLM contains a vulnerability (CVE-2026-44223) where the extract_hidden_states speculative decoding pathway can crash the EngineCore process if any request uses penalty parameters (repetition_penalty, frequency_penalty, or presence_penalty). The issue arises from an incorrect tensor shape after t...

mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

Ludwig framework is vulnerable to insecure deserialization in its model serving component

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load without enabling the security-restrictive weightsonly=True...

GHSA-PQ2F-X424-6FJM mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

CVE-2026-31239

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

EUVD-2025-209779

A vulnerability has been identified in blueplanet 100 NX3 M8 All versions, blueplanet 100 TL3 GEN2 All versions V6.1.4.9, blueplanet 105 TL3 All versions, blueplanet 105 TL3 GEN2 All versions V6.1.4.9, blueplanet 110 TL3 All versions, blueplanet 125 NX3 M11 All versions, blueplanet 125 TL3 All...

CVE-2026-41125

A vulnerability has been identified in blueplanet 100 NX3 M8 All versions, blueplanet 100 TL3 GEN2 All versions, blueplanet 105 TL3 All versions, blueplanet 105 TL3 GEN2 All versions, blueplanet 110 TL3 All versions, blueplanet 125 NX3 M10 All versions, blueplanet 125 TL3 All versions, blueplanet...

CVE-2024-54017

A vulnerability has been identified in SIPROTEC 5 6MD84 CP300 All versions = V7.80 = V7.80 = V7.80 = V7.80 = V7.80 = V7.80, SIPROTEC 5 7SA82 CP150 All versions = V7.80 = V7.80 = V7.80, SIPROTEC 5 7SD82 CP150 All versions = V7.80 = V7.80 = V7.80, SIPROTEC 5 7SJ81 CP150 All versions = V7.80, SIPROT...

When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions

Automated intrusion-style workflows require LLM agents to reason over partial observations, tool outputs, and executable artifacts under bounded budgets. A single LLM instance often compresses evidence extraction, planning, execution, and validation into one context, which increases the risk of...

This Week in Spring - May 12th, 2026

Hi, Spring fans! As I write this I am in Miami, FL at the CodeRemix.ai show, focused on the wide and wonderful world of OpenRewrite and Moderne. I've got a talk to give so let's dive right into it! a quick note about the upcoming release train dates in last week's installment of A Bootiful Podcas...

CVE-2026-31239

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

CVE-2026-31239

The mamba language model framework (version 2.2.6 and earlier ) is vulnerable to insecure deserialization (CWE-502) when loading pre-trained models from the HuggingFace Hub. The MambaLMHeadModel.from_pretrained() method utilizes torch.load() to process the pytorch_model.bin weight file without th...

Still Camouflage, Moving Illusion: View-Induced Trajectory Manipulation in Autonomous Driving

Existing physical adversarial attacks on vision-based autonomous driving induce time-evolving perception errors, including biased object tracking or trajectory prediction, through i sophisticated physical patch inducing detection box drift when entering the view distance, or ii dynamically changi...

PT-2026-40126

Name of the Vulnerable Software and Affected Versions mamba versions prior to 2.2.7 Description Insecure deserialization occurs when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.from pretrained function uses torch.load to load the pytorch model.bin weight file without...

CTFusion: A CTF-Based Benchmark for LLM Agent Evaluation

Recent advances in Large Language Models LLMs have enabled agentic systems for complex, multi-step tasks; cybersecurity is emerging as a prominent application. To evaluate such agents, researchers widely adopt Capture The Flag CTF benchmarks. However, current CTF benchmarks reuse existing...

The vulnerability of the system for launching and managing large language models in LoLLMS (Lord of Large Language Multimodal Systems) stems from deficiencies in access control. This allows attackers to enhance their privileges.

The vulnerability of the system for launching and managing large language models in LoLLMS Lord of Large Language Multimodal Systems is related to deficiencies in access control when processing JWT signatures. Exploiting this vulnerability can allow a malicious actor to enhance their privileges...

The vulnerability in the AppLollmsMessage class of the system, which is used to launch and manage large language models like LoLLMS, allows attackers to perform XSS attacks.

The vulnerability of the AppLollmsMessage class in the system for launching and managing large language models LoLLMS is related to the lack of measures taken to protect the website structure. Exploiting this vulnerability allows a malicious actor to perform XSS attacks remotely...

CVE-2026-31228

The Adversarial Robustness Toolbox ART thru 1.20.1 contains a remote code execution vulnerability in its Kubeflow component. The robustness evaluation function for PyTorch models uses the unsafe eval function to dynamically evaluate user-supplied strings for the LossFn and Optimizer parameters...

PT-2026-39977

Name of the Vulnerable Software and Affected Versions SIPROTEC 5 6MD84 CP300 versions prior to V11.0 SIPROTEC 5 6MD85 CP200 affected versions not specified SIPROTEC 5 6MD85 CP300 versions V7.80 through V11.0 SIPROTEC 5 6MD86 CP200 affected versions not specified SIPROTEC 5 6MD86 CP300 versions...