prometheus-community 2.0.0

The most transparent malware analyzer - Explainable detection with forensic-grade location tracking

🔥 Prometheus Community Edition v2.0.0

The Most Transparent Malware Analyzer Available

Revolutionary 6-layer malware analysis with explainable detection and forensic-grade location tracking. Every finding explained with WHY it matters and WHERE it's located.

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🎯 What Makes Prometheus Different

Complete Transparency

Unlike black-box tools that say "malware detected, trust us," Prometheus shows you:

• ✅ WHAT was found (actual signatures, indicators, patterns)
• ✅ WHY it matters (severity, uniqueness, explanations)
• ✅ WHERE it's located (exact byte offsets, PE sections)

Educational Value

Every scan is a learning opportunity:

• 💎 Uniqueness ratings - Know if indicators are definitive (unique) or common
• 📊 Severity levels - Understand criticality (critical/high/medium/low)
• 🎓 MITRE ATT&CK - Full TTP categorization
• 🔍 Context - Learn what each indicator reveals about malware behavior

Forensic Detail

Professional-grade analysis:

• 📍 Exact byte offsets for every finding
• 🔬 Hex context around matches for verification
• 🗺️ Location maps showing where malware components hide
• ✅ Manual verification - Can confirm in any hex editor

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🌟 Key Features

6-Layer Detection Engine

1. File Signatures - 276 format patterns with location tracking
2. Behavioral Indicators - 203 malware-specific behaviors with explanations
3. Exploit Patterns - 168 exploitation techniques mapped to MITRE
4. PE Heuristics - 8 advanced PE structure analysis rules
5. Dynamic Inference - Behavioral pattern correlation
6. ML Classification - Confidence scoring based on uniqueness

Enhanced Intelligence Database

• 661 intelligence items with rich metadata
• 15 unique indicators (7.4%) - Definitive family identifiers
• 58 rare indicators (28.6%) - Family-specific markers
• 130 common indicators (64.0%) - Supporting evidence
• All items include: severity, uniqueness, confidence, explanation, MITRE ATT&CK, context

Detection Transparency

• Detection reasoning - Explains why confidence is X%
• Confidence calculation - Shows how score was computed
• Indicator classification - Rates each by uniqueness and severity
• No black boxes - Complete visibility into detection logic

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📦 Installation

Via pip (Recommended)

pip install prometheus-community

From Source

git clone https://github.com/0x44616D69616E/prometheus-community
cd prometheus-community
pip install -e .

Verify Installation

prometheus version
# Output: Prometheus Community Edition v2.0.0

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🚀 Quick Start

Analyze a Single File

prometheus analyze malware.exe

Analyze with JSON Export

prometheus analyze malware.exe --output results.json

Batch Analysis

prometheus batch /path/to/samples/ --output-dir results/

Quiet Mode (JSON Only)

prometheus analyze malware.exe --quiet --output results.json

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📖 Usage & Arguments

Command: prometheus analyze

Analyze a single file with complete transparency.

prometheus analyze [OPTIONS] FILE

Arguments

Argument	Type	Description	Default
FILE	Path	File to analyze (required)	-
--output, -o	Path	Save results to JSON file	None
--quiet, -q	Flag	Suppress console output	False
--intel	Path	Custom intelligence database	Built-in

Examples

Basic analysis:

prometheus analyze suspicious.exe

Save results:

prometheus analyze suspicious.exe --output results.json

Custom intelligence database:

prometheus analyze suspicious.exe --intel custom_intel.json

Quiet mode (automation-friendly):

prometheus analyze suspicious.exe --quiet --output results.json

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Command: prometheus batch

Analyze multiple files in a directory.

prometheus batch [OPTIONS] DIRECTORY

Arguments

Argument	Type	Description	Default
DIRECTORY	Path	Directory containing files	-
--output-dir, -d	Path	Save results to directory	Current dir
--recursive, -r	Flag	Scan subdirectories	False
--pattern	String	File pattern to match	*
--threads	Integer	Number of parallel threads	4

Examples

Analyze all files in directory:

prometheus batch /samples/

Recursive scan with results:

prometheus batch /samples/ --recursive --output-dir results/

Specific file pattern:

prometheus batch /samples/ --pattern "*.exe" --output-dir results/

Parallel processing:

prometheus batch /samples/ --threads 8 --output-dir results/

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Command: prometheus version

Show version information.

prometheus version

Output:

Prometheus Community Edition v2.0.0
Revolutionary 6-layer malware analysis with explainable detection

Intelligence: 661 items (276 signatures, 203 behavioral, 168 exploits)
Python: 3.10.0
License: Prometheus Community License v1.0

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Command: prometheus upgrade

Information about enterprise edition.

prometheus upgrade

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📊 Example Output

Sample Analysis

$ prometheus analyze wannacry_sample.exe

╔══════════════════════════════════════════════════════════╗
║   🔥 PROMETHEUS COMMUNITY EDITION v2.0.0                ║
║   The Most Transparent Malware Analyzer                 ║
╚══════════════════════════════════════════════════════════╝

Analyzing: wannacry_sample.exe
SHA256: abc123def456...
Size: 52,480 bytes
Type: pe

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📄 Layer 1: File Signatures & Entropy

  Entropy: 7.24
  ⚠️  HIGH ENTROPY - Likely packed/encrypted
  Strings: 1,234

  📝 File Signatures: 3 matches
     • PE (executable)
       📍 offset 0x00000000
     • DOS MZ Header (executable)
       📍 offset 0x00000000
     • Windows PE32 (executable)
       📍 offset 0x00000080

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🎯 Layer 2: Behavioral Indicators

  🔴 CRITICAL Indicators (2):

     🔴 Mutex Name: Global\MsWinZonesCacheCounterMutexA
        💎 UNIQUE | Confidence: 100%
        📍 offset 0x00001a40, length 37 bytes
        Why: This mutex is UNIQUE to WannaCry ransomware and is used to 
             prevent multiple instances from running simultaneously
        Category: Defense Evasion - T1027

     🔴 File Extension: .WNCRY
        💎 UNIQUE | Confidence: 95%
        📍 offset 0x00003f20, length 6 bytes
        Why: Files encrypted by WannaCry are renamed with this extension - 
             a signature marker of this ransomware
        Category: Impact - T1486

  🟠 HIGH Severity Indicators (1):

     🟠 URL: iuqerfsodp9ifjaposdfjhgosurijfaewrwergwea.com
        💎 UNIQUE | Confidence: 90%
        📍 offset 0x00004120

  📊 Summary:
     • 3 unique indicators
     • 0 rare indicators
     • 1 families detected: WannaCry

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

💥 Layer 3: Exploit Patterns

  💥 Exploit Patterns: 1 detected

     🔴 NOP Sled
        📍 offset 0x00002f80, length 64 bytes
        Type: buffer_overflow, Severity: high
        Why: Long sequence of NOP (0x90) instructions used to make buffer
             overflow exploits more reliable

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

══════════════════════════════════════════════════════════
VERDICT
══════════════════════════════════════════════════════════

🏷️  Family: WannaCry
📊 Confidence: 95%

🧠 Why this family?

   💎 3 UNIQUE Indicators:
      ✓ Mutex Name: Global\MsWinZonesCacheCounterMutexA
        📍 offset 0x00001a40
        This mutex is UNIQUE to WannaCry ransomware and is used to prevent 
        multiple...
      ✓ File Extension: .WNCRY
        📍 offset 0x00003f20
        Files encrypted by WannaCry are renamed with this extension - a 
        signature marker...
      ✓ Url: iuqerfsodp9ifjaposdfjhgosurijfaewrwergwea.com
        📍 offset 0x00004120
        Original WannaCry kill switch - malware checks if this domain 
        resolves...

   📊 Detection Summary:
      • 3 unique to WannaCry
      • 3 total indicators
      • Confidence: 95%

📍 Key Findings Map:
   0x00001a40: mutex_name (critical, unique)
   0x00003f20: file_extension (critical, unique)
   0x00004120: url (high, unique)

🔍 Indicators of Compromise (5):
   • http://iuqerfsodp9ifjaposdfjhgosurijfaewrwergwea.com
   • 192.168.56.20
   • C:\Windows\tasksche.exe
   • Global\MsWinZonesCacheCounterMutexA
   • @WanaDecryptor@.exe

⚔️  Tactics, Techniques & Procedures (4):
   • Defense Evasion
   • Impact
   • Command and Control
   • Execution

⏱️  Duration: 0.234s

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💻 Python API Usage

Basic Analysis

from prometheus import PrometheusEngine

# Initialize engine
engine = PrometheusEngine()

# Analyze file
result = engine.analyze_file("malware.exe")

# Access results
print(f"Family: {result.family}")
print(f"Confidence: {result.confidence:.0%}")
print(f"IOCs: {len(result.iocs)}")

With Custom Intelligence

from prometheus import PrometheusEngine

# Use custom intelligence database
engine = PrometheusEngine(intel_path="custom_intel.json")
result = engine.analyze_file("malware.exe")

Accessing Detailed Results

# Get unique indicators only
unique_indicators = result.get_unique_indicators()
for indicator in unique_indicators:
    print(f"{indicator.indicator_type}: {indicator.matched_value}")
    print(f"Location: offset 0x{indicator.location.offset:08x}")
    print(f"Explanation: {indicator.explanation}")
    print()

# Get critical findings
critical = result.get_critical_indicators()
print(f"Found {len(critical)} critical indicators")

# Get location map
location_map = result.get_locations_map()
print(f"Behavioral indicators at: {location_map['behavioral']}")
print(f"Exploit patterns at: {location_map['exploits']}")

Export to JSON

import json

# Convert to dictionary
result_dict = result.to_dict()

# Save to file
with open("results.json", "w") as f:
    json.dump(result_dict, f, indent=2)

JSON Output Structure

{
  "sample": {
    "filename": "malware.exe",
    "sha256": "abc123...",
    "md5": "def456...",
    "file_size": 52480,
    "file_type": "pe"
  },
  "detection": {
    "family": "WannaCry",
    "confidence": 0.95,
    "reasoning": {
      "explanation": "Detected based on 3 UNIQUE indicators, 3 total indicators",
      "unique_indicators": 3,
      "total_indicators": 3,
      "key_indicators": [
        "mutex_name: Global\\MsWinZonesCacheCounterMutexA",
        "file_extension: .WNCRY",
        "url: iuqerfsodp9ifjaposdfjhgosurijfaewrwergwea.com"
      ]
    }
  },
  "behavioral_details": [
    {
      "family": "WannaCry",
      "type": "mutex_name",
      "value": "Global\\MsWinZonesCacheCounterMutexA",
      "location": {
        "offset": 6720,
        "offset_hex": "0x00001a40",
        "length": 37
      },
      "severity": "critical",
      "confidence": 1.0,
      "uniqueness": "unique",
      "explanation": "This mutex is UNIQUE to WannaCry..."
    }
  ],
  "location_map": {
    "signatures": [0, 128],
    "behavioral": [6720, 16160],
    "exploits": [12160]
  }
}

---

🎓 Use Cases

Security Research

# Analyze unknown sample
prometheus analyze unknown.exe --output research.json

# Extract exact locations for manual verification
# Open hex editor at offsets shown in output
# Verify findings yourself!

SOC Analysis

# Quick triage
prometheus analyze alert_binary.exe

# Decision based on:
# - Severity: CRITICAL indicators require immediate action
# - Uniqueness: UNIQUE indicators = high confidence
# - Confidence: 95%+ = escalate immediately

Malware Education

# Analyze known malware family
prometheus analyze wannacry.exe

# Learn:
# - What makes WannaCry distinctive
# - Where indicators are located
# - How MITRE ATT&CK applies
# - Practice hex editor verification

Forensic Investigation

# Detailed analysis with locations
prometheus analyze evidence.exe --output forensics.json

# Use location map to:
# - Extract specific file sections
# - Identify malicious code regions
# - Document findings with exact offsets
# - Integrate with IDA/Ghidra

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🔬 Intelligence Database

Structure

{
  "file_signatures": [276 items],
  "behavioral_indicators": [203 items],
  "exploit_patterns": [168 items],
  "pe_heuristics": [8 items],
  "xor_keys": [6 items]
}

Enhanced Metadata (New in v2.0.0)

Every behavioral indicator includes:

• severity - critical | high | medium | low | info
• confidence_weight - 0.0-1.0
• uniqueness - unique | rare | common
• explanation - Why this indicator matters
• commonly_found_in - Which malware families use this
• ttp_category - MITRE ATT&CK mapping
• context - What behavior this reveals

Statistics

Category	Count	Percentage
Uniqueness
Unique indicators	15	7.4%
Rare indicators	58	28.6%
Common indicators	130	64.0%
Severity
Critical	20	9.9%
High	138	68.0%
Medium	45	22.2%

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🆚 Comparison with Other Tools

Feature	Prometheus v2.0	VirusTotal	Cuckoo	YARA
Explains findings	✅ Complete	❌	⚠️ Limited	❌
Shows locations	✅ Exact offsets	❌	❌	✅ Offsets
Severity levels	✅ 5 levels	❌	❌	❌
Uniqueness rating	✅ 3 levels	❌	❌	❌
MITRE ATT&CK	✅ Full mapping	❌	⚠️ Partial	❌
Educational	✅ Built-in	❌	❌	❌
Transparent	✅ Complete	❌	⚠️ Limited	⚠️ Partial
Open Source	✅ Yes	❌	✅ Yes	✅ Yes

Prometheus is the ONLY tool with complete transparency: WHAT + WHY + WHERE

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📚 Documentation

• Installation Guide - Getting started
• User Manual - Complete feature reference
• API Documentation - Python API reference
• Intelligence Format - Custom intelligence guide
• Research Paper - DOI: 10.5281/zenodo.18123287

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🤝 Contributing

We welcome contributions! See CONTRIBUTING.md for:

• Bug reports
• Feature requests
• Intelligence contributions
• Code contributions

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📄 License

Prometheus Community Edition is released under the Prometheus Community License v1.0.

Key terms:

• ✅ Free for research, education, and non-profit use
• ✅ Source available - Review and modify code
• ✅ No commercial use without license
• ✅ Attribution required

For commercial licensing, contact: [e-mail]

See LICENSE for full terms.

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🎓 Citation

If you use Prometheus in research, please cite:

@software{prometheus2026,
  author = {Donahue, Damian},
  title = {Prometheus Community Edition: Explainable Malware Detection},
  year = {2026},
  publisher = {GitHub},
  version = {2.0.0},
  url = {https://github.com/0x44616D69616E/prometheus-community},
  doi = {10.5281/zenodo.18123287}
}

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🌟 What's New in v2.0.0

Major Features

• 🧠 Explainable Detection - Every finding explained
• 📍 Location Tracking - Exact byte offsets for everything
• 📊 Enhanced Intelligence - All 661 items with rich metadata
• 🎯 Severity Levels - Critical/High/Medium/Low/Info
• 💎 Uniqueness Ratings - Unique/Rare/Common
• 🎓 MITRE ATT&CK - Full TTP categorization
• 🔍 Detection Reasoning - Transparent confidence calculation

See Full Changelog

• CHANGELOG.md - Complete version history
• RELEASE_NOTES.md - v2.0.0 details

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💬 Community & Support

• GitHub Issues - Bug reports and feature requests
• Discussions - Questions and community chat
• Email - [e-mail]
• Documentation - Complete guides and examples

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🚀 Roadmap

v2.1.0 (Planned)

• Interactive hex viewer integration
• Real-time pattern highlighting
• STIX 2.1 export format
• Threat intelligence platform integration

v2.2.0 (Planned)

• YARA rule generation from samples
• Automated report generation
• Multi-file campaign analysis
• Timeline reconstruction

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⭐ Star History

If you find Prometheus useful, please star the repo! ⭐

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🙏 Acknowledgments

Built on foundational research:

• Binary Analysis Academic Reference v2.2
• MITRE ATT&CK Framework
• Open source security community

Special thanks to all contributors and users who provided feedback!

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🔥 Why Prometheus?

"The most transparent malware analyzer available"

In Greek mythology, Prometheus brought fire (knowledge) to humanity. Our Prometheus brings transparency and knowledge to malware analysis - showing you exactly what was found, why it matters, and where it's located.

No black boxes. No "trust us." Just complete, verifiable transparency. 🔍

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Made with 🔥 by the security research community

Prometheus Community Edition v2.0.0 - Transparency in malware analysis