EUVD-2025-209609

An issue in the component DirectIo64.sys of PassMark BurnInTest v11.0 Build 1011, OSForensics v11.1 Build 1007, and PerformanceTest v11.1 Build 1004 allows attackers to access kernel memory and escalate privileges via a crafted IOCTL 0x8011E044 call...

Exploit for CVE-2026-41940

cpanel-cve-2026-41940-fix One-shot detection and remediatio...

ctf-scripts

CTF Scripts Kumpulan script otomatisasi dan template eksploit...

info-security-portfolio

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

TLSCheck 2.0: An Enhanced Memory Forensics Approach to Efficiently Detect TLS Callbacks

Memory analysis is a crucial technique in digital forensics that enables investigators to examine the runtime state of a system through physical memory dumps. While significant advances have been made in memory forensics, the detection and analysis of Thread Local Storage TLS callbacks remain...

ctf-writeups

ctf-writeups Retos de HTB, TryHackMe y DFIR — documentado...

Optimizing IoT Intrusion Detection with Tabular Foundation Models for Smart City Forensics

Security operations in smart cities demand detection systems that balance accuracy with response time. While ensemble methods like Random Forest achieve high accuracy, their computational overhead impedes real-time forensic triage. We present the first systematic evaluation of TabPFNv2.5, a...

Hayabusa 跨站脚本漏洞

Hayabusa is an open-source Windows event log forensic and threat hunting tool developed by Yamato Security. Versions prior to Hayabusa 3.8.0 contained a cross-site scripting vulnerability. This vulnerability stemmed from HTML report outputs that had the same cross-site scripting vulnerabilities,...

uac 操作系统命令注入漏洞

UAC is a Unix system forensics and incident response tool developed by Thiago Canozzo Lahr. Versions of UAC prior to 3.3.0-rc1 contained a vulnerability related to operating system command injection. This vulnerability stemmed from the runcommand function, which directly passed the constructed...

SoK: Understanding Anti-Forensics Concepts and Research Practices across Forensic Subdomains

Anti-forensics includes a growing set of techniques designed to obstruct forensic analysis. While cybercriminals increasingly rely on these methods, they also help researchers identify and remedy weaknesses in forensic tools, advancing the overall robustness of digital forensics. Despite repeated...

Automating Cloud Security and Forensics through a Secure-By-Design Generative AI Framework

As cloud environments become increasingly complex, cybersecurity and forensic investigations must evolve to meet emerging threats. Large Language Models LLMs have shown promise in automating log analysis and reasoning tasks, yet they remain vulnerable to prompt injection attacks and lack forensic...

Wa3r-OffSec-Kit

🔐 Wa3r-OffSec-Kit - Practical Security Tools and Notes !Dow...

manchurian-agent-poc

Manchurian Candidate Agent POC ⚠️ SECURITY RESEARCH — EDU...

Before You Hand over the Wheel: Evaluating LLMs for Security Incident Analysis

Security incident analysis SIA poses a major challenge for security operations centers, which must manage overwhelming alert volumes, large and diverse data sources, complex toolchains, and limited analyst expertise. These difficulties intensify because incidents evolve dynamically and require...

An Explainable Memory Forensics Approach for Malware Analysis

Memory forensics is an effective methodology for analyzing living-off-the-land malware, including threats that employ evasion, obfuscation, anti-analysis, and steganographic techniques. By capturing volatile system state, memory analysis enables the recovery of transient artifacts such as decrypt...

Evaluating the Reliability of Digital Forensic Evidence Discovered by Large Language Model: A Case Study

The growing reliance on AI-identified digital evidence raises significant concerns about its reliability, particularly as large language models LLMs are increasingly integrated into forensic investigations. This paper proposes a structured framework that automates forensic artifact extraction,...

Webinar: How Modern SOC Teams Use AI and Context to Investigate Cloud Breaches Faster

Cloud attacks move fast — faster than most incident response teams. In data centers, investigations had time. Teams could collect disk images, review logs, and build timelines over days. In the cloud, infrastructure is short-lived. A compromised instance can disappear in minutes. Identities rotat...

Exploit for CVE-1999-0368

🛡️ Advanced Penetration Testing & System Forensic Audit Mid...

ctf-writeups

CTF Writeups A collection of Capture The Flag challenge write...

Djena_Bertrand

Description This the writeup on the challenges we solved duri...