Context-Aware Phishing Email Detection Using Machine Learning and NLP

Phishing attacks remain among the most prevalent cybersecurity threats, causing significant financial losses for individuals and organizations worldwide. This paper presents a machine learning-based phishing email detection system that analyzes email body content using natural language processing...

Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

Large language models LLMs increasingly rely on explicit chain-of-thought CoT reasoning to solve complex tasks, yet the safety of the reasoning process itself remains largely unaddressed. Existing work on LLM safety focuses on content safety--detecting harmful, biased, or factually incorrect...

AWS VDP: Encryption context keys and values logged at INFO level

Component: cmd/server/main.go:101-106 Affected Version: aws-encryption-provider @ 4341c70 all versions Found by: Source audit TLP: TLP:Amber --- Summary The server startup code logs all encryption context key-value pairs at INFO level. Encryption context is metadata associated with KMS operations...

Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning

The use of ML in cybersecurity has long been impaired by generalization issues: Models that work well in controlled scenarios fail to maintain performance in production. The root cause often lies in ML algorithms learning superficial patterns shortcuts rather than underlying cybersecurity concept...

nah Claude Code Tool

Claude Code's permission system is allow-or-deny per tool, but that doesn't really scale. Deleting some files is fine sometimes. And git checkout is sometimes catastrophic. Even when you curate permissions, 200 IQ Opus can find a way around it. Maintaining a deny list is a fool’s errand. What's...

Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape

The expansion of Internet of Things IoT devices has increased the attack surface of networks, necessitating a robust and adaptive intrusion detection systems. Machine learning based systems have been considered promising in enhancing the detection performance. Federated learning settings enabled ...

VoiceSHIELD-Small: Real-Time Malicious Speech Detection and Transcription

Voice interfaces are quickly becoming a common way for people to interact with AI systems. This also brings new security risks, such as prompt injection, social engineering, and harmful voice commands. Traditional security methods rely on converting speech to text and then filtering that text,...

Exploit for Cross-site Scripting in Bdtask Multi_Store_Inventory_Management_System

CVE-2024-2997 Scanner !Versionhttps://img.shields.io/badge...

Server-side Request Forgery (SSRF)

Overview openclaw is a 🦞 OpenClaw — Personal AI Assistant Affected versions of this package are vulnerable to Server-side Request Forgery SSRF via the SSRF IP classification. An attacker can access unintended network resources by supplying IPv6 multicast addresses that bypass address classificati...

GHSA-H97F-6PQJ-Q452 OpenClaw has a IPv6 multicast SSRF classifier bypass

Summary OpenClaw's SSRF IP classifier did not treat IPv6 multicast literals ff00::/8 as blocked/private-internal. This allowed literal multicast hosts to pass SSRF preflight checks. Impact A bypass in address classification existed for IPv6 multicast literals. OpenClaw's network fetch/navigation...

GHSA-392F-GGF5-FP3C OpenClaw: Unicode canonicalization drift in node metadata policy classification could broaden node allowlists

Summary A paired node could supply Unicode-confusable platform or deviceFamily metadata that passed metadata pinning but classified differently for command policy resolution, broadening default node command allowlists. Impact This is a policy-bypass issue within the paired-node trust boundary and...

OpenClaw: Unicode canonicalization drift in node metadata policy classification could broaden node allowlists

Summary A paired node could supply Unicode-confusable platform or deviceFamily metadata that passed metadata pinning but classified differently for command policy resolution, broadening default node command allowlists. Impact This is a policy-bypass issue within the paired-node trust boundary and...

Exploit for Cross-site Scripting in Bdtask Multi_Store_Inventory_Management_System

CVE-2024-2997 Scanner !Versionhttps://img.shields.io/badge...

Exploring Robust Intrusion Detection: A Benchmark Study of Feature Transferability in IoT Botnet Attack Detection

Cross-domain intrusion detection remains a critical challenge due to significant variability in network traffic characteristics and feature distributions across environments. This study evaluates the transferability of three widely used flow-based feature sets Argus, Zeek and CICFlowMeter across...

The Silent Spill: Measuring Sensitive Data Leaks across Public URL Repositories

A large number of URLs are made public by various platforms for security analysis, archiving, and paste sharing -- such as VirusTotal, URLScan.io, Hybrid Analysis, the Wayback Machine, and RedHunt. These services may unintentionally expose links containing sensitive information, as reported in so...

A Scan-Based Analysis of Internet-Exposed IoT Devices Using Shodan Data

An open measurement problem in IoT security is whether scan-observable network configurations encode population-level exposure risk beyond individual devices. An analysis of internet-exposed IoT endpoints using a controlled multi-country sample from Shodan Search and Shodan InternetDB, selecting...

CVE-2026-23204

In the Linux kernel, the following vulnerability has been resolved: net/sched: clsu32: use skbheaderpointercareful skbheaderpointer does not fully validate negative @offset values. Use skbheaderpointercareful instead. GangMin Kim provided a report and a repro fooling u32classify: BUG: KASAN:...

Malware Detection through Memory Analysis

This paper summarizes the research conducted for a malware detection project using the Canadian Institute for Cybersecurity's MalMemAnalysis-2022 dataset. The purpose of the project was to explore the effectiveness and efficiency of machine learning techniques for the task of binary classificatio...

InvisibleJS Detection and Analysis Scanner

InvisibleJS is an obfuscation technique that hides JavaScript source code using zero‑width Unicode characters, making files appear empty while still executing at runtime via eval or dynamic import with data: URIs. Although visually deceptive, this method provides no real cryptographic protection...

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...