CVE-2026-57222

A flaw was found in Suricata. This vulnerability allows a remote attacker to cause an incorrect detection state by sending specially crafted IPv4 and IPv6 address pairs. The flaw occurs because the system's IPPair hash does not properly compare the IP address family, leading to the reuse of state...

CVE-2026-57229

A flaw was found in Suricata, a network Intrusion Detection System IDS, Intrusion Prevention System IPS, and Network Security Monitoring engine. The SMTP Simple Mail Transfer Protocol MIME Multipurpose Internet Mail Extensions parser does not fully reset its state when processing encapsulated...

ODPure: Backdoor Purification for Object Detection Via Ensemble Corruption Consensus

With the development of applications like autonomous driving, object detection has gained significant attention, while also highlighting critical vulnerabilities like backdoor attacks that severely compromise model integrity. Specifically, such attacks involve altering the categories of objects...

A Gmail-Based Phishing Detection Prototype for Nigerian Fintech Emails Using Sender Checks and BiLSTM Classification

Phishing emails that impersonate Nigerian fintech providers can combine deceptive sender addresses, lookalike links, and locally familiar language. This study presents a Gmail browser extension that integrates sender-domain and URL checks with a bidirectional long short-term memory BiLSTM...

"What I See Is What I Hear": Deepfake Detection across Diverse Hearing Abilities

The proliferation of audiovisual deepfakes has lowered the cost of fraud, impersonation, and misinformation, but their success ultimately depends on human perception. Detection requires integrating auditory and visual cues, yet security and privacy research has largely overlooked d/Deaf and...

SAGEGAN: Style-Based Anomaly Detection with Gaussian Embeddings Using Generative Adversarial Networks

Malware evolves faster than rule-based and signature-driven detection pipelines. This paper presents SAGEGAN, a benign-only trained malware anomaly detection framework that converts portable executable files into compact three-channel images and models benign structure through style-conditioned...

Researcher Drops BigDiskBuster Zero-Day PoC That Blocks Microsoft Defender Updates

A zero-day proof-of-concept tool that stops Microsoft Defender from installing platform and signature updates by filling all available disk space was published on GitHub on September 19. The tool, called BigDiskBuster , has no patch, no CVE, and no Microsoft advisory. Its author, Abdelhamid Nacer...

forensic-timeliner

Высокоскоростной движок криминалистической обработки, созданный для специалистов DFIR. Быстрое объединение CSV-вывода от лучших инструментов триажа в единую мини-хронологию со встроенными фильтрацией, обнаружением артефактов, фильтрацией по датам, присвоением ключевых слов и дедупликацией. Релиз...

Confidence-Guided Cross-Modal Knowledge Transfer for Multimodal Anomaly Detection in Microservice Systems

Accurate anomaly detection is essential for reliable and secure operations of microservice systems. While an increasing number of studies have shifted from unimodal modeling to multimodal interaction and fusion, effectively leveraging reliable cross-modal information remains challenging. The...

Multi-View Fusion for Encrypted C2 Detection: A Leakage-Controlled Measurement Study of Evaluation Pitfalls

Command-and-control C2 traffic increasingly hides within TLS, so defenders now apply machine learning to traffic metadata. Many studies assume that combining two metadata views, namely flow statistics and TLS handshake fingerprints, improves both accuracy and robustness. We tested this assumption...

SR-Fraud: An Outcome-Supervised Reflective LLM Agent Framework for Non-Stationary Payment Fraud Detection

Real-time payment fraud detection is a non-stationary streaming prediction problem: adversaries adapt before supervised labels mature, and localized burst attacks can cause losses before retraining. Production systems typically rely on tabular classifiers and rules, which can struggle to capture...

COBRA: A Content-Agnostic Framework for Zero-Day Detection of Suspicious Domains

The use of malicious domains is central to cyberattacks such as phishing, malware distribution, impersonation, and fraudulent transactions. Because domains are inexpensive to register and easy to deploy at scale, they remain one of the most common and damaging tools used in cybercrime across...

How It's Made: Uncovering Detection Engineering Processes for Network Intrusion Detection Rules

Many Security Operations Centers rely on signature-based Network Intrusion Detection Systems like Suricata, yet detection rule engineering remains understudied. We investigate this process by introducing SuriCap, a platform for rule engineering exercises, and hosting CTF-style workshops where 60...

Solidity Meets LLMs: A Transformer-Based Approach to Smart Contract Vulnerability Detection

The growing adoption of blockchain technologies, particularly the Ethereum platform, has amplified the critical role of smart contracts in decentralized applications. However, the increasing complexity and financial value of these contracts make them prime targets for cyber attacks. In this work,...

Reliable Federated TinyML Deployment for IoT Security

The growing deployment of Internet of Things IoT devices has increased the need for privacy-preserving intrusion detection systems that operate directly on resource-constrained hardware. Federated Learning enables collaborative model training without sharing raw data, but conventional federated...

Comparative Evaluation of Static Embedding Models for HTTP Request Anomaly Detection

Web applications are increasingly targeted by cyberattacks that exploit HTTP requests to evade security mechanisms. Traditional web application firewalls WAFs rely on rule-based approaches that often exhibit high false positive rates and limited adaptability. Recent studies have explored machine...

Toward Responsible AI-Augmented Cyber Defense: Pattern Recognition, Defense-In-Depth, and the Case for Human-AI Collaboration

Cybersecurity literature has extensively documented the operational benefits of artificial intelligence AI for threat detection, incident response, and prevention, while raising qualitative concerns about over-automation, algorithmic bias, and analyst-skill erosion. What remains largely absent is...

k8saudit shipped rules do not detect privileged/sensitive settings on init or ephemeral containers

The k8saudit plugin's per-container fields ka.req.pod.containers. and the shipped k8sauditrules.yaml evaluated only requestObject.spec.containers. Security-relevant settings on a pod's initContainers or ephemeralContainers were not inspected, so the shipped Create Privileged Pod rule did not fire...

GHSA-JHJP-4C2Q-XMX4 k8saudit shipped rules do not detect privileged/sensitive settings on init or ephemeral containers

The k8saudit plugin's per-container fields ka.req.pod.containers. and the shipped k8sauditrules.yaml evaluated only requestObject.spec.containers. Security-relevant settings on a pod's initContainers or ephemeralContainers were not inspected, so the shipped Create Privileged Pod rule did not fire...

CVE-2020-0688

CVE-2020-0688 Scanner This is a little dirty Script to Check for vulnerables Exchange Servers by CVE-2020-0688 It's written ugly and in PHP. Caution: It only checks if you have the actual CU update installed. That doesn't mean that you have installed the bugfix patch! Requirements You need php-cl...