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 Sistema di rilevamento intrusioni Wireless IDS è uno strumento open source scritto in Python e funziona in ambiente Linux. Questo strumento analizza il traffico aereo circostante per attività sospette come pacchetti di attacco WEP/WPA/WPS. Fa quanto segue: Rileva deautenticazioni di...

Intrusion-Alert-Educational-Network-IDS

🛡️ Intrusion-Alert-Educational-Network-IDS Un sistema di rilevamento intrusioni IDS leggero, costruito con Python per monitorare il traffico di rete e rilevare potenziali attacchi DoS/DDoS in base alla frequenza delle richieste per IP. 📌 Caratteristiche 📡 Sniffing dei pacchetti in tempo reale con...

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...

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...

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...

SQL-Injection-Detection-System

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

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...

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...

FIRCE: A Framework for Intrusion Response and Conformal Evaluation

Machine learning-based intrusion detection systems deployed in real-world environments frequently suffer from model degradation due to concept drift, where changes in traffic patterns invalidate training assumptions. To address this, we present FIRCE, a Framework for Intrusion Response and...

HONEYPOTX-AI-Powered-Cyber-Threat-Detection-System

No d...

simple-ids

Simple IDS - Intrusion Detection System !License: MIThttp...

Exploit for Improper Handling of Exceptional Conditions in Apache Struts

Attacker Lab: CVE-2017-5638 & CVE-2021-41773 A 7-host Docker-...

CVE-2026-31933

A flaw was found in Suricata, a network Intrusion Detection System IDS, Intrusion Prevention System IPS, and Network Security Monitoring NSM engine. A remote attacker can exploit this vulnerability by sending specially crafted network traffic. This can cause Suricata to slow down significantly,...

CVE-2026-31937

Suricata is a network IDS, IPS and NSM engine. Prior to version 7.0.15, inefficiency in DCERPC buffering can lead to a performance degradation. This issue has been patched in version 7.0.15...

UBUNTU-CVE-2026-31933

Suricata is a network IDS, IPS and NSM engine. Prior to versions 7.0.15 and 8.0.4, specially crafted traffic can cause Suricata to slow down, affecting performance in IDS mode. This issue has been patched in versions 7.0.15 and 8.0.4...

EUVD-2026-18241

Suricata is a network IDS, IPS and NSM engine. Prior to versions 7.0.15 and 8.0.4, specially crafted traffic can cause Suricata to slow down, affecting performance in IDS mode. This issue has been patched in versions 7.0.15 and 8.0.4...

CVE-2026-31933

Suricata is a network IDS, IPS and NSM engine. Prior to versions 7.0.15 and 8.0.4, specially crafted traffic can cause Suricata to slow down, affecting performance in IDS mode. This issue has been patched in versions 7.0.15 and 8.0.4...