Blue Teaming Function-Calling Agents

We present an experimental evaluation that assesses the robustness of four open source LLMs claiming function-calling capabilities against three different attacks, and we measure the effectiveness of eight different defences. Our results show how these models are not safe by default, and how the...

CVE-2026-0853

Certain NVR models developed by A-Plus Video Technologies has a Sensitive Data Exposure vulnerability, allowing unauthenticated remote attackers to access the debug page and obtain device status information...

GHSA-GRG2-63FW-F2QR vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions

Summary Users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimension mismatch that results in an unhandled runtime error, leading to complete server termination. Details T...

Data broker fined after selling Alzheimer’s patient info and millions of sensitive profiles

California's privacy regulator has fined a Texas data broker $45,000 and banned it from selling Californians' personal information after it sold Alzheimer patients' data. Texan company Rickenbacher Data LLC, which does business as Datamasters, bought and resold the names, addresses, phone numbers...

CVE-2026-22755 Legacy Vivotek Camera Firmware Command Injection in upload_map.cgi

Improper Neutralization of Special Elements used in a Command 'Command Injection' vulnerability in Vivotek Affected device model numbers are FD8365, FD8365v2, FD9165, FD9171, FD9187, FD9189, FD9365, FD9371, FD9381, FD9387, FD9389, FD9391,FE9180,FE9181, FE9191, FE9381, FE9382, FE9391, FE9582,...

EUVD-2026-2345

Improper Neutralization of Special Elements used in a Command 'Command Injection' vulnerability in Vivotek Affected device model numbers are FD8365, FD8365v2, FD9165, FD9171, FD9187, FD9189, FD9365, FD9371, FD9381, FD9387, FD9389, FD9391,FE9180,FE9181, FE9191, FE9381, FE9382, FE9391, FE9582,...

CVE-2026-22755

CVE-2026-22755 is a command-injection flaw in Vivotek legacy firmware (upload_map.cgi) that allows OS command execution as root on multiple camera models. Affected devices include FD8365, FD8365v2, FD9165, FD9171, FD9187, FD9189, FD9365, FD9371, FD9381, FD9387, FD9389, FD9391, FE9180, FE9181, FE9...

LLMs in Code Vulnerability Analysis: A Proof of Concept

Context: Traditional software security analysis methods struggle to keep pace with the scale and complexity of modern codebases, requiring intelligent automation to detect, assess, and remediate vulnerabilities more efficiently and accurately. Objective: This paper explores the incorporation of...

Proactively Detecting Threats: A Novel Approach Using LLMs

Enterprise security faces escalating threats from sophisticated malware, compounded by expanding digital operations. This paper presents the first systematic evaluation of large language models LLMs to proactively identify indicators of compromise IOCs from unstructured web-based threat...

Deep Learning-Based Binary Analysis for Vulnerability Detection in X86-64 Machine Code

While much of the current research in deep learning-based vulnerability detection relies on disassembled binaries, this paper explores the feasibility of extracting features directly from raw x86-64 machine code. Although assembly language is more interpretable for humans, it requires more comple...

PT-2026-2794

Name of the Vulnerable Software and Affected Versions Vivotek devices versions 0100a through 012502 Description The affected devices contain an Improper Neutralization of Special Elements used in a Command 'Command Injection' issue. This allows for potential OS Command Injection through the uploa...

PT-2026-2043

Name of the Vulnerable Software and Affected Versions A-Plus Video Technologies NVR models affected versions not specified Description A security issue exists in certain NVR models developed by A-Plus Video Technologies that allows unauthenticated remote attackers to access the debug page...

Memory-Based Malware Detection under Limited Data Conditions: A Comparative Evaluation of TabPFN and Ensemble Models

Artificial intelligence and machine learning have significantly advanced malware research by enabling automated threat detection and behavior analysis. However, the availability of exploitable data is limited, due to the absence of large datasets with real-world data. Despite the progress of AI i...

CVE-2026-22773

vLLM is an inference and serving engine for large language models LLMs. In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimensi...

PYSEC-2026-143

vLLM is an inference and serving engine for large language models LLMs. In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimensi...

PYSEC-2026-143

vLLM is an inference and serving engine for large language models LLMs. In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimensi...

CVE-2026-22773

CVE-2026-22773 affects vLLM (inference/serving engine) versions 0.6.4 through before 0.12.0 that serve multimodal models using the Idefics3 vision model. A crafted 1x1 pixel image triggers a tensor dimension mismatch in the image input processing, causing an unhandled runtime error and enabling a...

CVE-2026-22773 vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions

vLLM is an inference and serving engine for large language models LLMs. In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimensi...

CVE-2026-22773 vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions

vLLM is an inference and serving engine for large language models LLMs. In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimensi...

SecureDyn-FL: A Robust Privacy-Preserving Federated Learning Framework for Intrusion Detection in IoT Networks

The rapid proliferation of Internet of Things IoT devices across domains such as smart homes, industrial control systems, and healthcare networks has significantly expanded the attack surface for cyber threats, including botnet-driven distributed denial-of-service DDoS, malware injection, and dat...