Exploit for OS Command Injection in Php

PHP CVE Autopilot Fully automated detection and exploitat...

Toward Autonomous SOC Operations: End-To-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations

Security Operations Centers SOCs face mounting operational challenges. These challenges come from increasing threat volumes, heterogeneous SIEM platforms, and time-consuming manual triage workflows. We present an end-to-end threat management framework that integrates ensemble-based detection,...

VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection

We present VulStyle, a multi-modal software vulnerability detection model that jointly encodes function-level source code, non-terminal Abstract Syntax Tree AST structure, and code stylometry CStyle features. Prior work in code representation primarily leverages token-level models or full AST...

CVE-2026-41395

OpenClaw before 2026.3.28 contains a webhook replay vulnerability in Plivo V3 signature verification that canonicalizes query ordering for signatures but hashes raw URLs for replay detection. Attackers can reorder query parameters to bypass replay cache detection and trigger duplicate voice-call...

CVE-2026-41395

OpenClaw before 2026.3.28 contains a webhook replay vulnerability in Plivo V3 signature verification that canonicalizes query ordering for signatures but hashes raw URLs for replay detection. Attackers can reorder query parameters to bypass replay cache detection and trigger duplicate voice-call...

Simplifying AWS defense with Microsoft Sentinel UEBA

In this article 1. Under the hood: The tables 2. Traditional vs. new approach 3. Real-world attack scenarios: Microsoft Sentinel UEBA in action 4. Practical implementation: Getting started 5. Limitations and constraints 6. From raw logs to behavioral context With the expansion of Microsoft Sentin...

Medoid Prototype Alignment for Cross-Plant Unknown Attack Detection in Industrial Control Systems

Deploying an intrusion detector trained in one industrial plant to another remains difficult because Industrial Control System ICS traffic is highly site-dependent, labels are scarce, and unseen attacks often appear after deployment. To address this challenge, this paper introduces a medoid...

Large Language Models As Explainable Cyberattack Detectors for Energy Industrial Control Systems

In modern energy systems, industrial control systems ICS and power-system SCADA require intrusion detection that is not only accurate but also auditable by operators. The ICS intrusion-detection landscape is currently dominated by established supervised detectors. In this paper, we study whether ...

Selenium Grid 4.11.0 Selenoid Backend Detection and Safe Session Validation Inspector

The provided Python script is a non-exploit reconnaissance and validation tool designed to identify Selenium Grid or Selenoid deployments exposed via HTTP APIs...

A Systematic Literature Review for Transformer-Based Software Vulnerability Detection

Context: Software vulnerabilities pose significant security threats to software systems, especially as software is increasingly used across many areas of daily life, including health, government, and finance. Recently, transformer-based models have demonstrated promising results in automatic...

System-Aware Contextual Digital Twin for ICS Anomaly Diagnosis

Industrial Control Systems ICS integrate computing, physical processes, and communication to operate critical infrastructures such as power grids, water treatment plants, and oil and gas facilities. As ICS become increasingly targeted by cyberattacks, timely and reliable anomaly diagnosis is...

DETOUR: A Practical Backdoor Attack against Object Detection

Object detection OD is critical to real-world vision systems, yet existing backdoor attacks on detection transformers DETRs for OD tasks rely on patch-wise triggers optimized at fixed locations with minimal perturbations. Such attacks overlook that backdoor triggers in the real world may appear a...

Symbolic Execution Meets Multi-LLM Orchestration: Detecting Memory Vulnerabilities in Incomplete Rust CVE Snippets

This paper presents a system combining symbolic execution KLEE with a 4-agent multi-LLM architecture for detecting memory vulnerabilities in Rust unsafe code. A central challenge we address is the incomplete-code problem: CVE database entries provide only isolated code snippets that lack struct...

info-security-portfolio

Information Security Portfolio A curated collection of nine e...

DarkWin-NGASR

🌌 DARKWIN — Next-Gen Automated Security Research Develope...

SeqShield: A Behavioral Analysis Approach to Uncover Rootkits

Rootkits are among the most elusive types of malware, capable of bypassing traditional static analysis methods due to their metamorphic behavior. Signature-based detection techniques struggle against these threats, necessitating a shift toward dynamic analysis approaches. We propose SeqShield, a...

Malicious code in ort-moe (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 b07b0d9d87f411b1c481f50084190fdde34edfeb1c9b10368a23abba0ccbcbdc During import, package collects basic information about the system, performs deep fingerprinting, and reports the data to the remote target. The package...

Malicious code in promptflow-runtime (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 5b42466489944454bbab304af3aa9869e3f0483cafc76b4da896f6512bb4c627 During import, package collects basic information about the system, performs deep fingerprinting, and reports the data to the remote target. The package...

MAL-2026-3035 Malicious code in promptflow-runtime (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 5b42466489944454bbab304af3aa9869e3f0483cafc76b4da896f6512bb4c627 During import, package collects basic information about the system, performs deep fingerprinting, and reports the data to the remote target. The package...

[SECURITY] Fedora 44 Update: libinput-1.31.1-1.fc44

libinput is a library that handles input devices for display servers and other applications that need to directly deal with input devices. It provides device detection, device handling, input device event processing and abstraction so minimize the amount of custom input code the user of libinput...