5188 matches found
Towards Automated Pentesting with Large Language Models
Large Language Models LLMs are redefining offensive cybersecurity by allowing the generation of harmful machine code with minimal human intervention. While attackers take advantage of dark LLMs such as XXXGPT and WolfGPT to produce malicious code, ethical hackers can follow similar approaches to...
web-pentest-tool
🛡️ AutoPenTest — Automated Penetration Testing Tool ⚠️ DI...
Dir-Listing-Auto-Exploit
Dir...
PT-2026-34622
Name of the Vulnerable Software and Affected Versions Paperclip versions prior to 2026.416.0 Description An unauthenticated attacker can achieve full remote code execution on network-accessible instances running in authenticated mode with default configuration. The attack is fully automated,...
What Is Threat Hunting? A Complete Guide for Security Teams
What Is Threat Hunting? A Complete Guide for Security Teams Security tools catch a lot. They do not catch everything. Automated detection systems rely on known signatures, predefined rules, and behavioral baselines. Sophisticated adversaries know this and design their operations to slip through t...
CVE-2026-39704 WordPress Precious Metals Automated Product Pricing – Pro plugin <= 4.0.5 - Broken Access Control vulnerability
Missing Authorization vulnerability in nfusionsolutions Precious Metals Automated Product Pricing – Pro precious-metals-automated-product-pricing-pro allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Precious Metals Automated Product Pricing – Pro: from n/...
PT-2026-31266
Name of the Vulnerable Software and Affected Versions Precious Metals Automated Product Pricing – Pro versions through 4.0.5 Description A missing authorization issue exists in nfusionsolutions Precious Metals Automated Product Pricing – Pro, allowing exploitation of incorrectly configured access...
CVE-2026-39704: Missing Authorization
Missing Authorization vulnerability in nfusionsolutions Precious Metals Automated Product Pricing – Pro precious-metals-automated-product-pricing-pro allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Precious Metals Automated Product Pricing – Pro: from n/...
SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems
Skill-based agent systems tackle complex tasks by composing reusable skills, improving modularity and scalability while introducing a largely unexamined security attack surface. We propose SkillTrojan, a backdoor attack that targets skill implementations rather than model parameters or training...
AI Agents and Non-Human Identities Creating Critical Security Gaps, Report
New research from Keeper Security, reveals non-human identities and automated system-to-system interactions are becoming the top security risk for businesses in 2026...
Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing
The rapid advancement of Large Language Models LLMs has created new opportunities for Automated Penetration Testing AutoPT, spawning numerous frameworks aimed at achieving end-to-end autonomous attacks. However, despite the proliferation of related studies, existing research generally lacks...
A Multi-Agent Framework for Automated Exploit Generation with Constraint-Guided Comprehension and Reflection
Open-source libraries are widely used in modern software development, introducing significant security vulnerabilities. While static analysis tools can identify potential vulnerabilities at scale, they often generate overwhelming reports with high false positive rates. Automated Exploit Generatio...
GO-2026-4901 nginx-UI has Unencrypted Storage of DNS API Tokens and ACME Private Keys in github.com/0xJacky/nginx-ui
nginx-UI has Unencrypted Storage of DNS API Tokens and ACME Private Keys in github.com/0xJacky/nginx-ui...
UAT-10608: Inside a large-scale automated credential harvesting operation targeting web applications
Cisco Talos is disclosing a large-scale automated credential harvesting campaign carried out by a threat cluster we are tracking as "UAT-10608." Post-compromise, UAT-10608 leverages automated scripts for extracting and exfiltrating credentials from a variety of applications, that are then posted ...
RuleForge: Automated Generation and Validation for Web Vulnerability Detection at Scale
Security teams face a challenge: the volume of newly disclosed Common Vulnerabilities and Exposures CVEs far exceeds the capacity to manually develop detection mechanisms. In 2025, the National Vulnerability Database published over 48,000 new vulnerabilities, motivating the need for automation. W...
ATM SQL Injection
The vulnerability of the configuration module of the automation system “BUK TS-G” is related to the failure to implement measures to protect SQL queries. Exploiting this vulnerability may allow an attacker, operating remotely, to gain unauthorized access to protected information...
Design and Implementation of an Open-Source Security Framework for Cloud Infrastructure
Misconfiguration, excessive privilege, and tool fragmentation remain the main reasons why enterprise cloud environments are breached. Recent reports on cloud-native application protection note that most incidents can be traced back to configuration or identity errors rather than platform flaws, a...
CVE-2026-34406
APTRS Automated Penetration Testing Reporting System is a Python and Django-based automated reporting tool designed for penetration testers and security organizations. Prior to version 2.0.1, the edituser endpoint POST /api/auth/edituser/ allows Any user who can reach that endpoint and submit...
AutoEG: Exploiting Known Third-Party Vulnerabilities in Black-Box Web Applications
Large-scale web applications are widely deployed with complex third-party components, inheriting security risks arising from component vulnerabilities. Security assessment is therefore required to determine whether such known vulnerabilities remain practically exploitable in real applications...
Automated Framework to Evaluate and Harden LLM System Instructions against Encoding Attacks
System Instructions in Large Language Models LLMs are commonly used to enforce safety policies, define agent behavior, and protect sensitive operational context in agentic AI applications. These instructions may contain sensitive information such as API credentials, internal policies, and...