avpass

AVPASS AVPASS is a tool for leaking the detection model of Android malware detection systems i.e., antivirus software, and bypassing their detection logics by using the leaked information coupled with APK obfuscation techniques. AVPASS is not limited to detection features used by detection system...

wireless-ids

Wireless IDS Système de détection d'intrusion Wireless IDS est un outil open source écrit en Python et fonctionnant sous Linux. Cet outil reniflera le trafic radio environnant à la recherche d'activités suspectes telles que des paquets d'attaque WEP/WPA/WPS. Il fait ce qui suit : Détecte les...

Intrusion-Alert-Educational-Network-IDS

🛡️ Intrusion-Alert-Educational-Network-IDS Un système de détection d'intrusion IDS léger construit en Python pour surveiller le trafic réseau et détecter les potentielles attaques DoS/DDoS en fonction du taux de requêtes par IP. 📌 Fonctionnalités 📡 Capture de paquets en temps réel avec Scapy 📊...

A Resource-Aware Behavior Reconstruction and Hierarchical Semantic Learning Framework for Host Intrusion Detection

System calls syscalls record key interactions between running programs and the operating system kernel, providing fine-grained and minimally intrusive data for host-based intrusion detection systems HIDS deployed in cloud and other modern computing environments. However, existing methods often...

Multi-Class, Multi-Tier Network Intrusion Detection: A Comprehensive and Reproducible Benchmark

Machine learning ML and deep learning DL have dominated Intrusion Detection System IDS research in recent years. Unfortunately, many existing studies have produced inflated results and unreliable benchmarks due to critical oversights and mistakes in the ML and DL pipeline, from data collection an...

CVE-2026-76682

A vulnerability in the network security monitoring component of intrusion detection systems could allow an unauthenticated remote attacker to exploit a limited buffer overflow. Successful exploitation could allow an attacker to cause a denial-of-service or potentially execute arbitrary code on th...

EUVD-2026-79208

A vulnerability in the network security monitoring component of intrusion detection systems could allow an unauthenticated remote attacker to exploit a limited buffer overflow. Successful exploitation could allow an attacker to cause a denial-of-service or potentially execute arbitrary code on th...

Traffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection

Large language model LLM-based intrusion detection systems IDS are increasingly studied for security monitoring, yet their robustness against feasible traffic manipulation remains largely empirical. We present Traffic-Aware Randomized Smoothing TA-RS, a classifier-agnostic certified defense that...

CVE-2026-9272

CVE-2026-9272 affects Progress Flowmon ADS prior to 12.5.6 and 13.0.5. An adversary authenticated as a low-privileged ADS user can send specially crafted requests that lead to unauthorized access to and modification of application data. The CVE’s metrics indicate HIGH impact on confidentiality, i...

CVE-2026-9272 Possibility of unintended database operations when querying data related to detected anomalies in Progress Flowmon ADS

In Progress Flowmon ADS versions prior to 12.5.6 and 13.0.5, a vulnerability exists whereby an adversary who is authenticated as a low-privileged user in the Anomaly Detection System ADS may send specially crafted requests that could result in unauthorized access to application data and its...

PT-2026-55260

Name of the Vulnerable Software and Affected Versions Flowmon ADS versions prior to 12.5.6 Flowmon ADS versions prior to 13.0.5 Description An authenticated low-privileged user in the Anomaly Detection System ADS can send specially crafted requests to gain unauthorized access to application data...

CAN We Trust Your Results? A Cross-Dataset Study of Automotive IDS Evaluation

The increasing connectivity of modern vehicles has made securing in-vehicle communication networks a critical challenge. Intrusion Detection Systems IDS have been widely studied as a defense mechanism for detecting malicious activities on the Controller Area Network CAN bus. However, the evaluati...

PLAA: Packet-Level Adversarial Attacks in Network Traffic Detection

Deep neural networks DNNs are widely applied in Network-based Intrusion Detection System NIDS due to their high accuracy. However, DNNs are highly susceptible to adversarial attacks, which generate malicious traffic to evade NIDS detection. Existing approaches often adapt adversarial attacks from...

SQL-Injection-Detection-System

SQL Injection Detection System A comprehensive full-stack web...

The vulnerability of the FortiSandbox threat detection and mitigation system, related to the lack of authentication, allows a violator to execute arbitrary code.

The vulnerability of the FortiSandbox threat detection and mitigation system is related to the lack of authentication. Exploiting this vulnerability allows a malicious actor operating remotely to execute arbitrary code...

FlowGuard: Flow Matching for Identity-Independent Detection of Data-Free Model Stealing Attacks on Energy System Intrusion Detection Systems

Artificial Intelligence AI-based Intrusion Detection Systems IDS deployed in energy infrastructure are vulnerable to model theft attacks, which allow adversaries to create evasive traffic offline. Current defences against model extraction rely either on identity-bound query monitoring, which is...

Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets

This paper investigates a unexplored yet impactful vulnerability in AI explainability used in intrusion detection IDS: multicollinearity-induced instability. Despite extensive reliance on post-hoc explainability tools such as SHAP or LIME, the impact of correlated features on explanation robustne...

On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT

The rapid evolution of digital health technologies is redefining healthcare services worldwide. The integration of wireless communication and Internet-enabled medical devices within Internet of Medical Things IoMT networks enables continuous, real-time patient monitoring. However, this increased...

The vulnerability of the print_hex_string() function in the Wazuh intrusion detection and prevention system allows a perpetrator to execute arbitrary code.

The vulnerability of the printhexstring function in the Wazuh intrusion detection and prevention system is related to buffer overflow in the stack. Exploiting this vulnerability could allow a remote attacker to execute arbitrary code...

Zero Day Attacks: Novel Behaviour or Novel Vulnerability?

Zero-day attacks pose severe cybersecurity risks due to their high success rates and stealth. Because signature-based approaches struggle to detect such attacks, building Intrusion Detection Systems IDSs for detecting zero-day attacks is essential. We contend that for an IDS to be effective it mu...