253 matches found
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 de Detección de Intrusiones Wireless IDS es una herramienta de código abierto escrita en Python y funciona en entorno Linux. Esta herramienta analizará el tráfico aéreo circundante en busca de actividades sospechosas como paquetes de ataque WEP/WPA/WPS. Realiza lo siguiente:...
Intrusion-Alert-Educational-Network-IDS
🛡️ Intrusion-Alert-Educational-Network-IDS Un sistema de detección de intrusiones IDS ligero construido con Python para monitorear el tráfico de red y detectar posibles ataques DoS/DDoS basados en la tasa de solicitudes por IP. 📌 Características 📡 Captura de paquetes en tiempo real usando Scapy 📊...
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...
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...
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...
The vulnerability of the Suricata intrusion detection and prevention system, due to uncontrolled resource consumption, allows an intruder to trigger a service failure.
The vulnerability of the Suricata intrusion detection and prevention system is related to an uncontrolled consumption of resources. Exploiting this vulnerability could allow a malicious actor, operating remotely, to cause service interruptions...
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
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