vamp-forticheck

vamp-forticheck VampSecure Labs — Security Research Division Scanner di vulnerabilità critiche nei dispositivi FortiOS/FortiGate. Descrizione Strumento di audit di sicurezza per valutare l'esposizione dei dispositivi Fortinet rispetto a quattro vulnerabilità critiche pubblicamente documentate...

CVE-2026-81526

creationtimestamp| type| source ---|---|--- 2026-08-28 12:45:55+00:00| seen| https://www.acn.gov.it/portale/w/rilevate-vulnerabilita-in-prodotti-mongodb-3...

maltrail v3.2

Maltrail Maltrail is a network traffic detection system that identifies communication with known malicious infrastructure and reports selected traffic anomalies. It matches domains, URLs, IP addresses, IP:port pairs, and User-Agent values observed on the network against a set of indicators called...

CAITLYN: Can LLM Agents Autonomously Synthesize Defenses against Emerging Injection Attacks?

Prompt injection attacks on Large Language Model LLM agents seek to introduce malicious instructions or content into external text sources retrieved by agents, forcing the underlying LLMs to execute harmful actions outside their benign scope. While current defenses effectively counter known...

Moirae: A Multimodal Agent Collaborative Framework for Dynamic Android Malware Detection

The Android ecosystem faces persistent and rapidly evolving malware threats. Existing machine learning detectors are vulnerable to concept drift because they rely on implementation-specific features whose distributions change over time. Large language models LLMs offer strong semantic understandi...

Enhancing Web Application Firewalls with Machine Learning for SQL Injection Detection

Detecting SQL Injection SQLi attacks ranks among the most critical challenges in web application security. This research conducted a systematic literature review to identify the research gaps in this domain and responsively designed and optimised a DistilBERT-Stacked Ensemble pipeline to improve...

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...

Joern 4.0.614

Joern is the bug hunter's workbench. With this tool, you can uncover attack surface, sloppy coding practices, and variants of known vulnerabilities using an interactive code analysis shell. Joern supports C, C++, LLVM bitcode, x86 binaries via Ghidra, JVM bytecode via Soot, and Javascript...

CVE-2026-81695 openssl_encrypt before 1.4.9 Terminal Injection via key_id

opensslencrypt versions before 1.4.9 fail to escape attacker-controlled keyid values printed to stderr during decrypt auto-detection. Attackers can craft encrypted files with malicious keyid containing escape sequences to repaint terminal output and forge authenticity verification blocks...

Identifying Agentic Automation with Behavioral Telemetry: Part 2

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keyhog v0.5.86

Website · Documentation · Architecture · Vyre GPU engine KeyHog: GPU-accelerated secret scanner for code, cloud, and CI KeyHog is an open-source secret scanner in Rust that finds and verifies leaked API keys, tokens, passwords, and credentials across source code, Git history, containers, cloud...

ApplicationInspector v1.10.1

Introduction Microsoft Application Inspector is a software source code characterization tool that helps identify coding features of first or third party software components based on well-known library/API calls and is helpful in security and non-security use cases. It uses hundreds of rules and...

CVE-2017-7577

creationtimestamp| type| source ---|---|--- 2026-08-27 09:00:03+00:00| seen| https://t.me/thehaking/2965 2026-08-28 00:01:00+00:00| published-proof-of-concept| https://t.me/thehaking/2965...

SkillSpector v2.10.0

SkillSpector Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks before installing agent skills. Overview AI agent skills used by Claude Code, Codex CLI, Gemini CLI, etc. execute with implicit trust and minimal vetting. Research shows that 26.1% of...

cdncheck v1.2.50

cdncheck Features • Installation • Usage • Join Discord root@kitploit: cdncheck is a tool for identifying the technology associated with dns / ip network addresses. Features CDN , CLOUD and WAF Detection Easy to use as library Easily extendable providers IP, DNS input support Text, JSONL output...

magic-extractor v1.3.1

Magic Extractor Description Magic Extractor is a universal extraction tool for Windows that identifies a file with several detectors and routes it to the right bundled extractor. It aims to cover mainstream compression formats, the installers you actually see today, and a range of less common...

yaraast v2.0.1rc1

yaraast Parse, analyze, and transform YARA rules with a Python AST toolkit Overview yaraast is a Python library for parsing and manipulating YARA-family rules using Abstract Syntax Trees AST. It supports classic YARA, YARA-L, and YARA-X workflows with automatic dialect detection and CLI tooling...

SUSE CVE-2026-74686

In the Linux kernel, the following vulnerability has been resolved: rqspinlock: Reset tail when preserving queue on deadlock Currently, the destruction of the waiter queue is suppressed for rqspinlock in cases where a deadlock is detected. Deadlock checks happen relatively frequently on entry for...

Are We Shooting Flies with Cannons? Trade-Off Analysis for AI-Based 5G Intrusion Detection

The increasing adoption of Artificial Intelligence AI in network intrusion detection raises the question of whether complex and computationally expensive models are justified for this task. In this work, we investigate the trade-off between detection performance and computational cost for intrusi...

When Relationships Break: Interpreting Network Traffic Anomalies Via Dependency Violations

Current research on security monitoring is increasingly focusing on machine-learning-based approaches, but caveats remain. In addition to huge computational overhead, one concern is the lack of insights into "why" alerts are raised. Existing interpretability approaches rely on feature attribution...