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allsmog/README.md

Sean Nejad / allsmog

Security 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.

Rust Go Python TypeScript Security Research AI Security

Most impressive work

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

AI security and AppSec tools

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.

Offensive security and assessment workflows

  • blackbox-claude-plugin - Claude Code plugin for black-box and grey-box HackTheBox-style penetration testing.
  • pwn-claude-plugin - Binary exploitation workflow plugin for CTF, pwn, ROP, GDB, pwntools, and pwndbg.
  • randori-plugin - PASTA threat modeling with STRIDE, MITRE ATT&CK, CAPEC, DFDs, and attack trees.
  • shinsa-plugin - AI-first ISO 27001, SOC 2, NIST, PCI DSS, and GRC assessment plugin for Claude Code.

Research infrastructure

  • oxidized-joern - Rust-first Joern fork exploring code-property-graph frontends and security-analysis components.
  • klee-ng - KLEE symbolic-execution fork for program analysis, test generation, and vulnerability-research workflows.
  • ligolo-ng-relay - Ligolo-ng relay fork for TUN-based tunneling, pivoting, and authorized network-assessment workflows.

What this portfolio says

  • I build end-to-end security products, not just scripts.
  • I care about evidence, reproducibility, proof state, and operator control.
  • I work across offensive security, defensive operations, forensics, threat intelligence, and applied cryptography.
  • I use AI where it improves triage, analysis, and workflow speed, while keeping deterministic checks and local artifacts in the loop.

Keywords

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.

Pinned Loading

  1. Kuzushi Kuzushi Public

    Kuzushi — Agentic SAST scanner with AI triage

    Rust 4

  2. mcp-pentest mcp-pentest Public

    MCP server for authorized pentest workflows: Nmap/Gobuster orchestration, context aggregation, AI-assisted triage, and reporting.

    Python 22 2

  3. SignalTrace SignalTrace Public

    Real-time OSINT intelligence dashboard for conflict, crisis, maritime, aviation, infrastructure, radiation, and humanitarian signals.

    TypeScript 2

  4. VolatilityAI VolatilityAI Public

    AI-powered Volatility3 memory forensics companion with grounded triage, deterministic rules, timelines, report diffing, and DFIR chat.

    Python 1

  5. zkdpop-go zkdpop-go Public

    Go framework for zero-knowledge login and sender-constrained access tokens. Implements interactive Schnorr ZK auth, short-lived JWTs bound to client DPoP keys (cnf.jkt), and ready-to-use middleware…

    Go 1

  6. detonate detonate Public

    Open-source malware analysis sandbox with Docker/QEMU execution, telemetry, YARA, Suricata, threat-intel enrichment, and AI reports.

    Python