2Merged external PRs
Accepted into public third-party curated security repositories.
Credibility Snapshot
Verified 2026-06-1525Open upstream PRs
Submitted for maintainer review across CTI, malware, detection, cloud, AI, mobile, and lab lists.
203Medium export posts
Local exported article corpus, with 198 generated navigator docs for 1200km integration.
v1.1.0AIDebug release
GitHub release, PyPI package, wheel/sdist artifacts, CI, tests, Kali request text, and docs.
v0.9.0ThreatMapper release
GitHub release, green CI, screenshots, documentation, quickstart, production-readiness notes.
12GitHub stars
Combined live public stars for AIDebug and ThreatMapper at verification time.
Merged Pull Requests
Accepted external validationOpen Pull Requests
Under maintainer reviewThreatMapper / CTI / Detection
Submissions to threat intelligence, MITRE ATT&CK, detection engineering, threat hunting, SigmaHQ, and MISP Galaxy ecosystems.
AIDebug / Malware / Reverse Engineering
Submissions for reverse engineering, YARA, Python security, malware analysis, and threat intelligence lists.
Lab Portfolio
Submissions to lab, vulnerable app, AI/LLM security, cloud security, mobile security, cyber range, blue-team, and detection collections.
AI Tooling / Guides
Submissions for AI-assisted offensive security, audit, cloud assessment, CTI MCP, field manual, and HexStrike guide material.
Open PRs are listed as review evidence, not as acceptance. Accepted items move to the merged section only after upstream maintainer merge.
GitLab / Kali Requests
Packaging-readiness artifacts| Tool | Request Status | Maintainer-Ready Contents | Evidence |
|---|---|---|---|
| AIDebug | Prepared / request text | Tagged release, PyPI package, Debian metadata, man page, autopkgtest notes, dependency list, usage examples. | Kali request |
| AuditAI | Prepared / request text | Linux host assessment scope, local CLI path, optional AI dependency, package metadata, CI and tests. | Kali request |
| String Analyzer | Prepared / request text | Standard-library runtime, PyPI package, categorized malware/forensics triage output, tests and usage examples. | Kali request |
| RTSP Brute Force Tool | Prepared / request text | Authorized credential assessment scope, vendor presets, dry-run mode, JSON reports, Debian/Kali metadata. | Kali request |
| StratusAI | Prepared / request text | External/cloud assessment scope, no-AI mode, recommended external tools, package metadata, status notifications. | Kali request |
Tool Releases & Public Stats
GitHub / PyPIAIDebug
Release v1.1.0
PyPI 1.1.0
Python
5 stars
1 fork
AI-assisted malware reverse-engineering debugger with ATT&CK mappings, YARA seed rules, IOC export, JSON output, TUI workflow, and analyst reports.
ThreatMapper
Release v0.9.0
Green CI
Self-hosted
7 stars
1 fork
Self-hosted AI-assisted CTI platform for ATT&CK extraction, APT comparison, D3.js navigator workflows, and analyst-ready reporting.
Medium Publications
Articles and internal archiveCanonical Article Sources
Medium remains the public article source, while 1200km.com now provides internal navigation, Docusaurus pages, project pages, and ecosystem landing pages.
Core Article Clusters
CTI workflows, detection engineering, malware analysis, OpenCTI, cloud and Kubernetes security, AI-assisted security tooling, reproducible labs, and technical guides.
Screenshots
Product evidence
Maintainer-Ready Project Summaries
Review positioningAIDebug
Maintainer-ready because it has a tagged release, PyPI package, deterministic tests, GitHub Actions CI, release notes, screenshots, safety model, sample evidence, packaging metadata, and a clear non-exploit malware-analysis scope.
Malware analysisReverse engineeringATT&CKYARA
ThreatMapper
Maintainer-ready because it ships a self-hosted Docker workflow, backend and frontend CI, screenshots, quickstart, admin guide, security model, limitations, production-readiness notes, demo dataset, and release notes.
CTIATT&CK mappingD3.jsLLM-assisted analysis
1200km Labs
Maintainer-ready because the labs are framed as authorized, reproducible education and validation environments with clear deployment paths, screenshots, documentation, and CTI/detection context.
Vulnerable appsCloud labsMobile labsCyber range
CTI Field Manual / Detection Work
Maintainer-ready because the work is organized around evidence handling, ATT&CK mapping, detection handoff, reproducibility, Sigma/MISP-compatible contribution patterns, and analyst-facing documentation.
CTI methodologySigmaMISP GalaxyDetection engineering