trivy-action

Trivy Action GitHub Action for Trivy !GitHub Releaserelease-imgrelease !GitHub Marketplacemarketplace-imgmarketplace !Licenselicense-imglicense Table of Contents Usage Scan CI Pipeline Scan CI Pipeline w/ Trivy Config Cache Trivy Setup Scanning a Tarball Using Trivy with templates Using Trivy wit...

seeker

Available in Concept behind Seeker is simple, just like we host phishing pages to get credentials why not host a fake page that requests your location like many popular location based websites. Read more on thewhiteh4t's Blog .Seeker Hosts a fake website which asks for Location Permission and if...

socialscan

socialscan socialscan offers accurate and fast checks for email address and username usage on online platforms. Given an email address or username, socialscan returns whether it is available, taken or invalid on online platforms. Features that differentiate socialscan from similar tools e.g...

Rethinking Backdoor Repair Evaluation: Distinguishing Aggregate Clean Utility from Benign Performance Preservation

Backdoor repair aims to suppress malicious behavior in compromised models while preserving benign task performance. Existing studies typically evaluate these objectives using Attack Success Rate ASR and Overall Clean Accuracy, but aggregate clean accuracy can obscure substantial degradation...

Windows Malware Detector As a Compound AI System: Trade-Offs in Accuracy, Efficiency, and Adversarial Robustness

Industrial Windows malware detectors are commonly described as Compound AI Systems composed of multiple heterogeneous components, including rule-based mechanisms as well as machine-learning-based static and dynamic analyses. However, due to industrial secrecy and limited public disclosure, the...

Candidate Comparability Before Promotion: Conditional Validation in Adaptive Network Intrusion Detection

Adaptive network intrusion detection systems retrain classifiers after drift alarms, but an alarm detects change; it does not establish that a challenger should replace the deployed incumbent. Promotion is security-relevant because it changes the model responsible for subsequent attack detection,...

Enhancing Web Application Firewalls with BERT-GNN for SQL Injection Detection

Detecting sophisticated SQL Injection SQLi attacks remains among the most critical challenges in web applications security. This research study has resulted in an optimised hybrid BERT-GNN pipeline with improved detection accuracy and robustness while reducing false-positive and false-negative...

Effective Pivot Attack Detection Via System and Network Information

Perimeter-based security appliances, such as firewalls or Intrusion Detection Systems, are ineffective against modern attacks that use pivoting, wherein attackers "pivot" traffic through compromised hosts to gain access to additional targets that would otherwise be inaccessible. Due to the...

Cybersecurity Detection Classification with Reasoning-Enabled Language Models

A major issue in Security Operations Centers SOCs is alert fatigue, as the number of detections reported is more than staff can triage in a given day. Prior work prompts or fine-tunes large language models LLMs to emit a triage label directly, but does not train them to reason about whether a...

(EC)2: Event-Centric Explainability for Cybersecurity through Multi-Agent LLM Investigations

Security operations centers rely on anomaly detection systems to flag suspicious events. Feature-level explanations for anomaly detectors offer limited value for operational investigations. To effectively handle alerts, analysts need to know contextual relationships and need actionable...

PATCH-FFT: Unmasking Dormant Hardware Trojans with Patch-Based Frequency-Domain Transformers

Hardware Trojans embedded by malicious entities in integrated circuits can covertly leak sensitive information through power side channels, often remaining undetected in their dormant state until specific trigger conditions activate their malicious behavior. For information-leaking Trojans,...

CVE-2026-53370

A flaw was found in the Linux kernel's performance monitoring unit perf/x86/intel related to the validation and configuration of Auto Counter Reload ACR masks. Incomplete validation of user-space ACR masks could lead to incorrect configurations. This issue could result in inaccurate performance...

Adversarial Robustness of Phishing Email Detection: A Comparative Study of TF-IDF + Logistic Regression and Fine-Tuned DistilBERT

Phishing emails remain one of the most persistent cybersecurity threats, and machine-learning classifiers are widely used to detect them. Most reported detection accuracies, however, are measured on clean, in-distribution test data rather than on emails deliberately altered to evade detection. Th...

A Multi-Model Hybrid Defense Approach against White-Box Adversarial Attacks in Computer Network Traffic

It is crucial to safeguard computer networks from evolving network security threats and unknown cyberattacks. An essential tool for protecting computer networks against unknown cyber threats is Network Intrusion Detection System NIDS. However, NIDS faces a major security concern due to its...

HarmQ: Harmonic Backdoor Attacks against Quantum Neural Networks

Quantum Neural Networks QNNs have emerged as a promising paradigm for quantum machine learning in the Noisy Intermediate-Scale Quantum NISQ era, leveraging quantum phenomena such as superposition and entanglement to process information in exponentially large Hilbert spaces. However, QNNs inherit...

Explaining Intrusion Alert Decisions of Deep Learning-Based Network Intrusion Detection Systems for Security Analysts

In this paper, we present EXP-SEC, a novel framework which can explain the intrusion detection decisions of DL-based NIDS which lead to security alerts in a way that is aligned with the domain knowledge of analysts working in Security Operations Center SOC. We highlight the following features of...

Federated Learning Architecture: Data Privacy and System Security Approaches

This study explores the integration of homomorphic encryption and differential privacy techniques to enhance data privacy and security in Federated Learning FL systems. FL allows data to remain on local devices, eliminating the need for centralized data collection; however, sensitive information...

Iris Recognition vs Fingerprint: Which Biometric Wins in 2026?

Compare iris recognition and fingerprint biometrics in 2026, from accuracy and speed to security, privacy, and where each technology works best...

TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction

Cyber Threat Intelligence CTI reports are predominantly unstructured, heterogeneous, and noisy, which limits their direct usability for automated analysis and reasoning. Cybersecurity Knowledge Graphs CSKGs provide a structured representation of adversarial entities, actions, and relations, but...

CVE-2026-48745 Traccar Client: silent configuration hijack via unverified deep link redirects all GPS telemetry

Traccar Client is a GPS tracking mobile app for sending location updates to private servers using the open-source Traccar platform. In versions 9.7.19 and below, a single crafted deep link can silently hijack all GPS tracking parameters and redirect telemetry to an attacker-controlled server. The...