Silinosic-X v11.2.2

Theme: Ember
OSINT orchestration, media intelligence, and Reporter-grade artifacts for profile, surface, fusion, and OCR-led investigations.

Silinosic-X is a Python intelligence framework for authorized OSINT work. It combines profile reconnaissance, domain-surface analysis, fusion scoring, public-media reconnaissance, and OCR image scanning into one runtime with plugins, filters, engine policies, and categorized artifacts.

What v11.2.2 includes

• Reporter is now the primary reporting layer for HTML and CLI summaries.
• Media reconnaissance and OCR image scanning are first-class lanes instead of side notes.
• HTML artifacts are organized as case views with graphs, categorized sections, extension drill-downs, vulnerability context, and a closing Reporter Brief.
• The docs tree and website are aligned to the current runtime instead of old release-planning notes.

Recent runtime additions

• Platform intelligence now loads from an expanded manifest with 91 validated platforms, including major high-value public OSINT surfaces.
• Profile scanning can emit live pipeline events as platforms resolve, allowing downstream enrichment to start before the full scan ends.
• Live enrichment now hunts contact and credential signals from FOUND profile rows during the scan itself.
• A persistent SQLite knowledge base tracks targets, found profiles, contact signals, fingerprints, and risk indicators across runs.
• silinosic-x doctor now reports engine health, knowledge-base status, and Docker runtime status.
• Docker is now a first-class execution path through --docker, with runtime detection, image build support, and mounted output persistence.
• Tor runtime management now has a higher-level setup layer that can deploy torrc, check readiness, and coordinate startup.

Core workflows

• profile scans usernames and public profiles across platform manifests.
• surface analyzes domain exposure, transport posture, and surface intelligence.
• fusion correlates profile and surface evidence into scored intelligence.
• orchestrate runs the policy-led orchestration pipeline directly.
• ocr runs dedicated OCR image scanning across local paths and remote URLs.
• media plugins add public image/video/post-text reconnaissance and stego-style triage.

Install, run, import

pip install silinosic-x
silinosic-x
silinosic-x doctor

import silinosic_x

print(silinosic_x.__version__)

Note: the Python-PIP package is not available right now cause changing repo name...

From source:

git clone https://github.com/voltsparx/Silinosic-X.git
cd Silinosic-X
pip install -e .
silinosic-x --help

Optional extras:

pip install ".[reports]"
pip install ".[ocr]"

pytesseract is a Python wrapper, but OCR still depends on a reachable tesseract binary. Silinosic-X now reports which OCR/image backends were actually available during the run, and silinosic-x doctor gives a quick local diagnostic pass for OCR, Tor, Reporter backends, output settings, and runtime inventory.

Docker runtime:

silinosic-x --docker
silinosic-x prompt --docker
silinosic-x profile alice --docker
silinosic-x surface example.com --docker
silinosic-x prompt --docker --tor

On first use, Silinosic-X can check Docker, install it when supported and approved, build the image, and then launch the requested command inside the container.

Quick examples

silinosic-x profile alice --html
silinosic-x surface example.com --html
silinosic-x fusion alice example.com --html
silinosic-x ocr ./captures/poster.png --url https://example.com/image.png --html
silinosic-x profile alice --plugin media_recon_engine --plugin post_signal_intel --plugin stego_signal_probe --html
silinosic-x prompt
silinosic-x prompt --docker
silinosic-x doctor

Reporter outputs

Silinosic-X writes artifacts under output/ and can emit:

• CLI summaries
• JSON payloads
• CSV exports plus companion CSV slices
• HTML Reporter case views
• SQLite case stores
• DOCX case documents
• PDF case documents
• run logs and framework logs

Reporter is designed to make the result easier to triage by grouping identity findings, reliability issues, correlation, vulnerabilities, plugin/filter signals, OCR/media lanes, and the final Reporter Brief.

Recent report/runtime improvements also include:

• live enrichment sections in HTML output when profile pipeline signals are captured
• relationship and graph-backed sections for fusion-style analysis
• persistent knowledge-base storage at output/silinosic_x_kb.db
• richer doctor visibility for OCR, Tor, Docker, engines, and output/runtime state

In prompt mode, attachables can be configured as session defaults with commands like:

enable plugin threat_conductor
enable filter contact_canonicalizer
enable module source-pack-01-module-1
config

Documentation

• Docs Index
• Operator Guide
• Architecture
• Extensions
• Media Intelligence
• Reporter
• Development
• Docker Guide
• Website

Website and Pages

Primary Pages URL:

• https://voltsparx.github.io/Silinosic-X/

If that direct URL shows GitHub's "site not found" page, the usual cause is not the website files themselves. It usually means GitHub Pages is not currently serving the project site yet. For this repository, Pages must be enabled with GitHub Actions as the source, and the Silinosic-X Pages workflow must complete successfully on main or master.

Safety

• Legal and authorized use only
• Respect platform terms, privacy, and local law
• Do not use Silinosic-X for stalking, harassment, or unauthorized surveillance

Developer notes

Useful local checks:

python -m pytest -q
python -m ruff check .
python -m mypy
python -m compileall -q core filters modules plugins tests silinosic-x.py
python scripts/smoke_suite.py
silinosic-x doctor
silinosic-x --help

Core package naming:

• package install name: silinosic-x
• CLI entrypoint: silinosic-x
• Python import path: silinosic_x

Author

• Author: voltsparx
• Contact: voltsparx@gmail.com
• Repository: https://github.com/voltsparx/Silinosic-X