# File Entropy Visualizer — Offline Malware Analysis (Static) Tool
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[](https://github.com/reshot2005/secintel-core)
[](https://github.com/reshot2005/file-entropy-visualizer)
> **Shannon entropy visualization to detect packed/encrypted regions — malware packing analysis and binary entropy mapping offline.**
**Category:** Malware Analysis (Static)
**Collection phase tool:** 3/8
**Schema:** [secintel-core](https://github.com/reshot2005/secintel-core) v1
**Repository:** https://github.com/reshot2005/file-entropy-visualizer
**Author account:** [reshot2005](https://github.com/reshot2005)
## Why File Entropy Visualizer ranks for security search
File Entropy Visualizer is an **offline-first**, research-grade **malware analysis (static)** utility designed for practitioners who need reproducible analysis without uploading sensitive artifacts to SaaS scanners. It emits structured findings through the shared **secintel** evidence taxonomy (OBSERVED / DERIVED / INFERRED / CORRELATED / VERIFIED) so results are auditable, exportable, and CI-friendly.
### Primary SEO keywords
`file entropy, packer detection, Shannon entropy, encrypted sections, malware packing`
### Topics
`malware-analysis` `reverse-engineering` `static-analysis` `cybersecurity` `threat-intelligence` `ioc` `security-tools` `python` `offline-security` `yara` `entropy` `packers`
## What problem does this solve?
Compute per-region Shannon entropy to highlight packed or encrypted areas commonly seen in malware.
Entropy-first packing lens with structured findings.
## Key features
- Shannon entropy mapping
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Packed/encrypted region hints
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Visual/report outputs
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Static-only safety
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Binary triage aid
- Spot packed malware
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Guide unpacking effort
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Compare section entropy
- Security engineers & AppSec / NetSec specialists
- SOC / DFIR / malware analysts (as applicable)
- Bug bounty hunters and penetration testers
- DevSecOps teams needing offline/air-gapped tooling
- Students and researchers learning malware analysis (static)
git clone https://github.com/reshot2005/file-entropy-visualizer.git cd file-entropy-visualizer python3.12 -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\Activate.ps1 pip install -e ../secintel-core # or: pip install -e git+https://github.com/reshot2005/secintel-core.git#egg=secintel-core pip install -e ".[dev]" file-entropy-visualizer analyze sample_data --json file-entropy-visualizer analyze sample_data --html report.html file-entropy-visualizer version
file-entropy-visualizer analyze sample_data \ --json --html report.html --csv findings.csv --sarif results.sarif
- Findings follow secintel classification rules (confidence only where schema allows).
- Provenance includes tool version, config hash, and input integrity metadata.
- Set
SECINTEL_SOURCE_DATE_EPOCHfor deterministic timestamps in CI.
export SECINTEL_SOURCE_DATE_EPOCH=1704067200 file-entropy-visualizer analyze sample_data --jsonruff check src tests mypy src pytest
Browse more offline security research tools by reshot2005: network security, web AppSec, DevSecOps, digital forensics, and static malware analysis — each in its own public repository with the same secintel reporting contract.
MIT — free for research, education, and commercial use with attribution preserved.
File Entropy Visualizer (file-entropy-visualizer) — Shannon entropy visualization to detect packed/encrypted regions — malware packing analysis and binary entropy mapping offline. Search terms: file entropy, packer detection, Shannon entropy, encrypted sections, malware packing. Open-source, MIT-licensed, Python 3.12, offline cybersecurity tool by reshot2005.