5109 matches found
UBUNTU-CVE-2026-22263
Suricata is a network IDS, IPS and NSM engine. Starting in version 8.0.0 and prior to version 8.0.3, inefficiency in http1 headers parsing can lead to slowdown over multiple packets. Version 8.0.3 patches the issue. No known workarounds are available...
CVE-2026-22264
Suricata is a network IDS, IPS and NSM engine. Prior to version 8.0.3 and 7.0.14, an unsigned integer overflow can lead to a heap use-after-free condition when generating excessive amounts of alerts for a single packet. Versions 8.0.3 and 7.0.14 contain a patch. As a workaround, do not run...
CVE-2026-22263
Suricata is a network IDS, IPS and NSM engine. Starting in version 8.0.0 and prior to version 8.0.3, inefficiency in http1 headers parsing can lead to slowdown over multiple packets. Version 8.0.3 patches the issue. No known workarounds are available...
CVE-2026-22260
Suricata is a network IDS, IPS and NSM engine. Starting in version 8.0.0 and prior to version 8.0.3, Suricata can crash with a stack overflow. Version 8.0.3 patches the issue. As a workaround, use default values for request-body-limit and response-body-limit...
AI-Driven Intrusion Detection for UAV in Smart Urban Ecosystems: A Comprehensive Survey
UAVs have the potential to revolutionize urban management and provide valuable services to citizens. They can be deployed across diverse applications, including traffic monitoring, disaster response, environmental monitoring, and numerous other domains. However, this integration introduces novel...
Multi-Agent Collaborative Intrusion Detection for Low-Altitude Economy IoT: An LLM-Enhanced Agentic AI Framework
The rapid expansion of low-altitude economy Internet of Things LAE-IoT networks has created unprecedented security challenges due to dynamic three-dimensional mobility patterns, distributed autonomous operations, and severe resource constraints. Traditional intrusion detection systems designed fo...
A PUF-Based Security Framework for Fault and Intrusion Detection
Industrial Control Systems ICS rely on sensor feedback to keep safety-critical processes within operational limits. This research presents a hardware-root-of-trust that embeds a Physically Unclonable Function PUF at the measurement layer to authenticate sensor readings. The architecture combines...
Lightweight LLMs for Network Attack Detection in IoT Networks
The rapid growth of Internet of Things IoT devices has increased the scale and diversity of cyberattacks, exposing limitations in traditional intrusion detection systems. Classical machine learning ML models such as Random Forest and Support Vector Machine perform well on known attacks but requir...
Hybrid IDS Using Signature-Based and Anomaly-Based Detection
Intrusion detection systems IDS are essential for protecting computer systems and networks against a wide range of cyber threats that continue to evolve over time. IDS are commonly categorized into two main types, each with its own strengths and limitations, such as difficulty in detecting...
A Novel Contrastive Loss for Zero-Day Network Intrusion Detection
Machine learning has achieved state-of-the-art results in network intrusion detection; however, its performance significantly degrades when confronted by a new attack class -- a zero-day attack. In simple terms, classical machine learning-based approaches are adept at identifying attack classes o...
Suricata IDPE 8.0.3
Suricata is a network intrusion detection and prevention engine developed by the Open Information Security Foundation and its supporting vendors. The engine is multi-threaded and has native IPv6 support. It's capable of loading existing Snort rules and signatures and supports the Barnyard and...
A Survey of Security Challenges and Solutions for UAS Traffic Management (UTM) and Small Unmanned Aerial Systems (SUAS)
The rapid growth of small Unmanned Aerial Systems sUAS for civil and commercial missions has intensified concerns about their resilience to cyber-security threats. Operating within the emerging UAS Traffic Management UTM framework, these lightweight and highly networked platforms depend on secure...
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...
CVE-2022-23466
teler is an real-time intrusion detection and threat alert dashboard. teler prior to version 2.0.0-rc.4 is vulnerable to DOM-based cross-site scripting XSS in the teler dashboard. When teler requests messages from the event stream on the /events endpoint, the log data displayed on the dashboard a...
Knowledge-To-Data: LLM-Driven Synthesis of Structured Network Traffic for Testbed-Free IDS Evaluation
Realistic, large-scale, and well-labeled cybersecurity datasets are essential for training and evaluating Intrusion Detection Systems IDS. However, they remain difficult to obtain due to privacy constraints, data sensitivity, and the cost of building controlled collection environments such as...
CVE-1999-0599
A network intrusion detection system IDS does not properly handle packets with improper sequence numbers...
CVE-1999-0601
A network intrusion detection system IDS does not properly handle data within TCP handshake packets...
CVE-1999-0598
A network intrusion detection system IDS does not properly handle packets that are sent out of order, allowing an attacker to escape detection...