PYSEC-2026-2304

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, the structuredoutputs.regex API parameter passes a user-supplied regular expression string directly to the grammar compiler backends with no compilation timeout; in the xgrammar backend the stri...

aamutils (>=0.0.11, <=0.0.12), adversarial-workflow (>=0.4.0, <=0.9.8) +516 more potentially affected by CVE-2026-55379 via pillow (>=12.0.0, <=12.2.0)

pillow PYPI version =12.0.0, =0.0.11, =0.4.0, =1.10.0rc1, =0.0.116, =0.13.2, =0.1.0rc1, =1.0.7, =0.1.0, =1.1.0, =1.3.0, =0.1.0, =0.2.0, =0.6.0, =0.8.0.dev20260511, =0.13.0.dev20261012 and more Source cves: CVE-2026-55379 Source advisory: SNYK:PYTHON-PILLOW-17824468...

CVE-2026-55574 vLLM: ReDoS via structured_outputs.regex compiled without timeout in xgrammar and outlines backends

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, the structuredoutputs.regex API parameter passes a user-supplied regular expression string directly to the grammar compiler backends with no compilation timeout; in the xgrammar backend the stri...

aamutils (>=0.0.11, <=0.0.12), adversarial-workflow (>=0.4.0, <=0.9.8) +516 more potentially affected by CVE-2026-55379 via pillow (>=12.0.0, <=12.2.0)

pillow PYPI version =12.0.0, =0.0.11, =0.4.0, =1.10.0rc1, =0.0.116, =0.13.2, =0.1.0rc1, =1.0.7, =0.1.0, =1.1.0, =1.3.0, =0.1.0, =0.2.0, =0.6.0, =0.8.0.dev20260511, =0.13.0.dev20261012 and more Source cves: CVE-2026-55379 Source advisory: OSV:PYSEC-2026-2255...

aamutils (>=0.0.11, <=0.0.12), adversarial-workflow (>=0.4.0, <=0.9.8) +516 more potentially affected by CVE-2026-55380 via pillow (>=12.0.0, <=12.2.0)

pillow PYPI version =12.0.0, =0.0.11, =0.4.0, =1.10.0rc1, =0.0.116, =0.13.2, =0.1.0rc1, =1.0.7, =0.1.0, =1.1.0, =1.3.0, =0.1.0, =0.2.0, =0.6.0, =0.8.0.dev20260511, =0.13.0.dev20261012 and more Source cves: CVE-2026-55380 Source advisory: OSV:PYSEC-2026-2256...

PT-2026-56000

Name of the Vulnerable Software and Affected Versions vLLM versions prior to 0.24.0 Description The structured outputs.regex API parameter allows user-supplied regular expression strings to be passed to grammar compiler backends without a compilation timeout or complexity analysis. In the xgramma...

Beyond Gradient-Based Attacks: Adversarial Robustness and Explainability Stability in Cybersecurity Classifiers

Adversarial attacks on cybersecurity classifiers pose a dual threat: degrading predictions and destabilising the SHAP-based explanations that security analysts rely on to understand and triage alerts. We extend our prior MLP conference study to Random Forest and XGBoost across four tabular securi...

Hacking Measurement-Device-Independent Quantum Key Distribution

The security of practical quantum key distribution QKD systems is fundamentally constrained by vulnerabilities of single-photon detectors. Measurement-device-independent quantum key distribution MDI-QKD was proposed to remove this limitation by allowing all measurements to be performed by a...

Detecting Adversarial Evasion Attacks against Autoencoder-Based Network Intrusion Detection Systems

Evasion attacks deliberately manipulate input to an ML-based system to produce an incorrect prediction while the manipulated input still appears benign. The PANDA framework has demonstrated that adversarial examples developed for the vision domain can be transferred to the network domain by...

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks

Lightweight machine learning models are increasingly proposed for intrusion detection in Industrial Internet of Things IIoT networks due to their suitability for resource-constrained edge deployment. Most reported results evaluate these models only within their training network, leaving behavior ...

Generative AI and Federated Learning for Intrusion Detection Systems: A Survey

Intrusion Detection Systems IDSs are essential for monitoring network traffic and identifying malicious activities in modern cyber-physical, Internet of Things IoT, enterprise, and distributed network environments. However, developing reliable IDS models remains challenging because attack behavio...

SUSE-SU-2026:22459-1 Security update for pcr-oracle

This update for pcr-oracle fixes the following issues Update to 0.6.3: Security issue: - integer underflow vulnerability in parsesbatlevelsection bsc1265042. Non security issue: - Lockout Authorization error for libvirt-emulated TPM bsc1265871. Changes for pcr-oracle: + Relax TPM self-test...

Understanding and Evaluating Claw-Like Agent Security through a Computer-Systems Lens

Claw-like AI agents e.g., OpenClaw are always-on processes with persistent access to credentials, files, tools, and external services. They take on system-level responsibilities -- installing packages, maintaining state, scheduling subtasks, and mediating I/O -- making security failures far more...

Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors

The structural vulnerabilities of point cloud-based 3D object detectors remain poorly understood. Prior work has studied adversarial robustness primarily on isolated 3D object models, while recent LiDAR spoofing attacks target richer and more realistic driving scenes but focus mainly on physical...

IITR_Capstone_RedScope_Project

RedScope Capstone Project Lab-only red-team assessment for we...

CITADEL: CSI-Based Jamming Detection and Open-Set Classification for IIoT Networks

Radio frequency jamming poses a critical threat to the availability of wireless Industrial Internet of Things IIoT networks. Existing detection and classification techniques are poorly suited to this setting: coarse signal-strength and cross-layer features lack information richness, while raw I/Q...

Towards Robust Personalized Federated Learning: Vulnerability Assessment and Defense Co-Design

The proliferation of IoT devices has fueled distributed edge systems to collect vast amounts of sensitive data, creating fertile ground for on-device machine learning applications. While federated learning FL mitigates privacy concerns by exchanging model parameters instead of raw data, we identi...

Linux Distros Unpatched Vulnerability : CVE-2026-44688

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - In Eclipse Theia versions prior to 1.71.0, the AI chat agent processed workspace file and directory names as part of its prompt context without distinguishing...

GHSA-3JWW-HXQJ-WFQ2 [Eclipse Theia] Indirect Prompt Injection via Adversarial Workspace File and Directory Names in AI Chat

In Eclipse Theia versions prior to 1.71.0, the AI chat agent processed workspace file and directory names as part of its prompt context without distinguishing them from system instructions. An attacker could craft a malicious repository with adversarial directory or file names that, when analyzed...

[Eclipse Theia] Indirect Prompt Injection via Adversarial Workspace File and Directory Names in AI Chat

In Eclipse Theia versions prior to 1.71.0, the AI chat agent processed workspace file and directory names as part of its prompt context without distinguishing them from system instructions. An attacker could craft a malicious repository with adversarial directory or file names that, when analyzed...