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...

bitwiseai (>=0.1.2, <=0.1.3), daggr (>=0.5.2, <=0.5.3) +3 more potentially affected by CVE-2026-28416 via gradio (>=6.0.0.dev5, <=6.4.0)

gradio PYPI version =6.0.0.dev5, =0.1.2, =0.5.2, =1.14.0, =2.12.0 Source cves: CVE-2026-28416 Source advisory: OSV:GHSA-JMH7-G254-2CQ9...

bitwiseai (>=0.1.2, <=0.1.3), daggr (>=0.5.2, <=0.5.3) +3 more potentially affected by CVE-2026-28416 via gradio (>=6.0.0.dev5, <=6.4.0)

gradio PYPI version =6.0.0.dev5, =0.1.2, =0.5.2, =1.14.0, =2.12.0 Source cves: CVE-2026-28416 Source advisory: GHSA-JMH7-G254-2CQ9...

bitwiseai (>=0.1.2, <=0.1.3), daggr (>=0.5.2, <=0.5.3) +3 more potentially affected by CVE-2026-28415 via gradio (>=6.0.0.dev5, <=6.4.0)

gradio PYPI version =6.0.0.dev5, =0.1.2, =0.5.2, =1.14.0, =2.12.0 Source cves: CVE-2026-28415 Source advisory: GHSA-PFJF-5GXR-995X...

bitwiseai (>=0.1.2, <=0.1.3), daggr (>=0.5.2, <=0.5.3) +3 more potentially affected by CVE-2026-28414 via gradio (>=6.0.0.dev5, <=6.4.0)

gradio PYPI version =6.0.0.dev5, =0.1.2, =0.5.2, =1.14.0, =2.12.0 Source cves: CVE-2026-28414 Source advisory: GHSA-39MP-8HJ3-5C49...

bitwiseai (>=0.1.2, <=0.1.3), daggr (>=0.5.2, <=0.5.3) +3 more potentially affected by CVE-2026-28414 via gradio (>=6.0.0.dev5, <=6.4.0)

gradio PYPI version =6.0.0.dev5, =0.1.2, =0.5.2, =1.14.0, =2.12.0 Source cves: CVE-2026-28414 Source advisory: OSV:GHSA-39MP-8HJ3-5C49...

bitwiseai (>=0.1.2, <=0.1.3), daggr (>=0.5.2, <=0.5.3) +3 more potentially affected by CVE-2026-27167 via gradio (>=6.0.0.dev5, <=6.4.0)

gradio PYPI version =6.0.0.dev5, =0.1.2, =0.5.2, =1.14.0, =2.12.0 Source cves: CVE-2026-27167 Source advisory: SNYK:PYTHON-GRADIO-15366402...

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...

ctf-skills

ctf-skills Claude Codehttps://docs.anthropic.com/en/docs/c...

AI-Powered Forensics, at Cloud Speed

Reviewing Wiz’s approach to forensics in the cloud era, and announcing the public preview of AI-powered, context-aware forensics capabilities...

AI Agents Vs. Human Investigators: Balancing Automation, Security, and Expertise in Cyber Forensic Analysis

In an era where cyber threats are rapidly evolving, the reliability of cyber forensic analysis has become increasingly critical for effective digital investigations and cybersecurity responses. AI agents are being adopted across digital forensic practices due to their ability to automate processe...

Enhanced Cyber Threat Intelligence by Network Forensic Analysis for Ransomware As a Service(RaaS) Malwares

In the current era of interconnected cyberspace, there is an adverse effect of ransomware on individuals, startups, and large companies. Cybercriminals hold digital assets till the demand for payment is made. The success of ransomware upsurged with the introduction of Ransomware as a ServiceRaaS...

Integrating Multi-Agent Simulation, Behavioral Forensics, and Trust-Aware Machine Learning for Adaptive Insider Threat Detection

We present a hybrid framework for adaptive insider-threat detection that tightly integrates multi-agent simulation MAS, layered Security Information and Event Management SIEM correlation, behavioral and communication forensics, trust-aware machine learning, and Theory-of-Mind ToM reasoning...

Cybercrime and Computer Forensics in Epoch of Artificial Intelligence in India

The integration of generative Artificial Intelligence into the digital ecosystem necessitates a critical re-evaluation of Indian criminal jurisprudence regarding computational forensics integrity. While algorithmic efficiency enhances evidence extraction, a research gap exists regarding the Digit...