SA-DRL: Security-Aware Deep Reinforcement Learning for Ransomware Detection with Asymmetric Reward Design

Ransomware detection is a security-critical task in which false negatives and false positives have unequal operational consequences. Conventional machine learning detectors often use symmetric objectives that penalize missed ransomware detections and benign false alarms equally, although a false...

Large Language Models (LLMs) and Generative AI in Cybersecurity and Privacy: A Survey of Dual-Use Risks, AI-Generated Malware, Explainability, and Defensive Strategies

Large Language Models LLMs and generative AI GenAI systems, such as ChatGPT, Claude, Gemini, LLaMA, Copilot, Stable Diffusion by OpenAI, Anthropic, Google, Meta, Microsoft, Stability AI, respectively, are revolutionizing cybersecurity, enabling both automated defense and sophisticated attacks...

PT-2026-56200

Name of the Vulnerable Software and Affected Versions 389-ds-base affected versions not specified Description A flaw exists in the LDBM backend attribute encryption where a hardcoded static initialization vector is used for AES-CBC and 3DES-CBC operations. This allows an attacker with privileged...

MSCENet: A Multi-Scale Correlation Enhanced Network for Anomaly Detection

In the field of multivariate time series anomaly detection, against the backdrop of increasing data complexity and complex dependencies across multiple temporal scales, traditional methods often struggle to simultaneously capture temporal dynamic features and intricate inter-series correlations. ...

ai-soc-simulator

AI SOC Simulator 🛡️ A React-based web application designed to...

How to Evaluate an AI SOC Platform in 2026: 6 Capabilities That Separate Leaders from Bolt-On AI solutions

Building a shortlist for an AI SOC evaluation can be tough. SIEM, SOAR, and pureplay AI SOC vendors are all saying the same thing. But behind the identical label sit very different products, from chat assistants bolted onto a legacy SIEM to agent platforms that run detection, triage, investigatio...

CVE-2020-21833

creationtimestamp| type| source ---|---|--- 2026-07-06 02:17:49+00:00| seen| https://bsky.app/profile/kriptabiz.bsky.social/post/3mpwzkrrpc22j...

WPProbe Plugin Enumeration Tool 0.12.4

A fast WordPress plugin and theme scanner that detects installed plugins via REST API enumeration and themes from HTML discovery, then maps them to known vulnerabilities. Over 5,000 plugins detectable without brute-force, thousands more with it...

Slate Digital Connect 1.37.0 Security Scanner

This Python script is a local security scanner designed to detect potential exposure related to Slate Digital Connect and its components associated with CVE-2026-24066 and CVE-2026-24067...

Detecting Vulnerability-Inducing Commits Via Multi-Stage Reasoning with LLM-Based Agents

Detecting vulnerability-inducing commits VICs at submission time is critical for improving the security and reliability of software systems. However, this task is highly challenging because it requires reasoning about the semantic impact of code changes from heterogeneous information sources,...

F-ACVAE: A Federated Adaptive Conditional Variational Auto-Encoder for Privacy-Preserving Intrusion Detection in IoT Networks

The rapid proliferation of Internet of things IoT devices has significantly expanded the cyber-attack surface, necessitating robust and privacy-preserving intrusion detection systems IDS. However, centralized learning approaches often suffer from severe performance degradation due to...

Nuclei 3.11.0

Nuclei is a modern, high-performance vulnerability scanner that leverages simple YAML-based templates. It empowers you to design custom vulnerability detection scenarios that mimic real-world conditions, leading to zero false positives...

Strapi CMS 5.36.1 Security Misconfiguration Detection Scanner

This is a scanner designed to identify potential security misconfigurations in Strapi CMS instances without performing exploitation or data extraction...

HilEnT: Hilbert, Entropy Transformed Image Based Malware Detection

With the increasing threat of malware across various software related domains, malware detection and classification is critical to determine the response actions. Different strategies have been adopted to address the challenge of malware detection. With the advent of deep learning techniques,...

Agentic SABRE: An Uncertainty-Aware Neuro-Symbolic Multi-Agent Framework for Adaptive Ransomware Detection

Ransomware has evolved into a complex, adaptive, and fast-moving adversary category in which static signatures and monolithic classifiers fail to generalise under concept drift, evasion, and behavioural polymorphism. In this paper, we present Agentic SABRE Semantic-Behavioural Arbitration for...

Piercing Gilbreath'S Conjecture: From Deep Number Theory Insights to Fintech and Cybersecurity

I propose a new methodology to attack the fascinating Gilbreath's conjecture about prime numbers, first posted in 1878 and unsolved to this day. The problem statement is rudimentary: kids can understand it. However, despite decades of research, almost no progress has been made. This paper changes...

CVE-2025-71362

creationtimestamp| type| source ---|---|--- 2026-07-04 05:23:35+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3mpscz4fsdo2o 2026-07-04 12:01:21+00:00| seen| https://bsky.app/profile/thehackerwire.bsky.social/post/3mpszae66bj2o...

CVE-2025-71375

picklescan before 0.0.34 fails to detect the operator.methodcaller built-in function when scanning pickle files for malicious code. Attackers can craft malicious pickle payloads using operator.methodcaller that evade detection and execute arbitrary code when loaded by pickle.load...

CVE-2025-71359

picklescan before 0.0.29 fails to detect malicious pickle payloads that utilize lib2to3.pgen2.grammar.Grammar.loads in the reduce method, allowing remote code execution. Attackers can craft pickle files embedding dangerous code that evades picklescan detection and executes during pickle.load...

CVE-2025-71375 picklescan - Undetected Remote Code Execution via _operator.methodcaller

picklescan before 0.0.34 fails to detect the operator.methodcaller built-in function when scanning pickle files for malicious code. Attackers can craft malicious pickle payloads using operator.methodcaller that evade detection and execute arbitrary code when loaded by pickle.load...