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Report abuseSecurity researcher building practical security systems across AppSec, AI/MCP security, DFIR, malware analysis, OSINT, deception, reverse engineering, and applied cryptography.
Portfolio and project docs: allsmog.github.io
My best work is not just scanners. I build operator tools that preserve evidence, run locally when possible, expose clear proof state, and turn noisy security data into defensible next actions.
| Project | Why it stands out | Domain |
|---|---|---|
| Kuzushi | Evidence-backed repository security workbench with a native Rust CLI/TUI, local-first scans, persisted findings, proof state, trace artifacts, SARIF, and PR review output. | AppSec, SAST, security workbench |
| Detonate | Malware analysis sandbox with Docker/QEMU execution, process and network telemetry, Suricata, YARA, threat-intel enrichment, STIX/HTML reports, and a hands-on reversing curriculum. | Malware analysis, sandboxing |
| VolatilityAI | Volatility3 memory forensics companion with deterministic rules, grounded LLM analysis, timelines, report diffing, MITRE ATT&CK mapping, and persistent investigation sessions. | DFIR, memory forensics |
| SignalTrace | Real-time OSINT dashboard on React, Leaflet, Hono, and Cloudflare Workers, combining conflict events, thermal hotspots, AIS, ADS-B, BGP anomalies, radiation, earthquakes, and humanitarian feeds. | OSINT, crisis monitoring |
| zkdpop-go | Go framework for Schnorr zero-knowledge login and DPoP-bound JWTs with replay protection, sender-constrained tokens, and resource-server middleware. | Applied crypto, authentication |
| RevGraph | Reverse engineering graph intelligence SDK using Neo4j, BCC/Ghidra artifacts, NL2Cypher, embeddings, similarity search, YARA generation, and MCP tools. | Reverse engineering |
| Yokai | Supply-chain deception platform with fake package registries, canary packages, typosquat monitoring, MITRE mapping, SARIF, webhooks, and tripwire reports. | Supply-chain security |
| Sasoi | Autonomous deception orchestration with specialized agents for enrichment, investigation, strategy, and response across honeypots, honeytokens, cloud decoys, and K8s traps. | Deception, threat intel |
| Project | Focus |
|---|---|
| mcp-pentest | MCP server for authorized penetration testing workflows with Nmap/Gobuster orchestration, context aggregation, AI-assisted triage, and reporting. |
| vuln-scout | Claude Code plugin for local whitebox security review with quick scans, Joern/CodeQL/Semgrep support, SARIF/HTML/Markdown reports, and CI gates. |
| kuzushi-security-plugin | Claude Code security review plugin that hunts source-to-sink bugs, validates findings with proof, checks patches, and reduces false positives. |
| promptarmor | Go CLI scanner for prompt injection, jailbreaks, tool abuse, LLM-as-judge checks, and CI-friendly failure modes. |
| promptarmor-plugin | Claude Code plugin and MCP server for LLM security red teaming with 80+ attack plugins, 25+ mutation strategies, and code-aware remediation. |
| llm-honeypot | Cowrie-based SSH honeypot with pluggable LLM backends, OAuth provider support, command logging, cost controls, and threat-intel capture. |
security research, AppSec, AI security, MCP security, Model Context Protocol, agentic SAST, vulnerability scanning, malware analysis, malware sandbox, memory forensics, Volatility3, DFIR, OSINT, threat intelligence, deception, honeypots, supply-chain security, reverse engineering, Neo4j, CodeQL, Joern, code-property graphs, KLEE, symbolic execution, Semgrep, prompt injection, LLM security, applied cryptography, DPoP, zero-knowledge authentication, tunneling, pivoting, Ligolo-ng.
MCP server for authorized pentest workflows: Nmap/Gobuster orchestration, context aggregation, AI-assisted triage, and reporting.
Real-time OSINT intelligence dashboard for conflict, crisis, maritime, aviation, infrastructure, radiation, and humanitarian signals.
TypeScript 2
AI-powered Volatility3 memory forensics companion with grounded triage, deterministic rules, timelines, report diffing, and DFIR chat.
Python 2
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