iocparser-tool 4.0.0

A tool for extracting Indicators of Compromise from security reports

IOCParser

Extract Indicators of Compromise from security reports with ease

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Overview

IOCParser is a powerful Python tool for extracting Indicators of Compromise (IOCs) from security reports. It supports HTML, PDF, and plain text formats, making it ideal for threat intelligence analysts, security researchers, and incident responders.

Key Features

Feature	Description
Multi-format Support	Parse PDF, HTML, and plain text files
URL Analysis	Extract IOCs directly from web URLs
MISP Integration	Filter false positives using MISP warning lists
Defanging	Automatic defanging of domains and IPs
Library Mode	Use as CLI tool or Python library
JSON/Text Output	Flexible output formats

Supported IOC Types

Hashes          MD5, SHA1, SHA256, SHA512
Network         Domains, IPs, URLs, Emails
Cryptocurrency  Bitcoin addresses
Vulnerabilities CVEs
Windows         Registry keys, Filepaths, Filenames
Detection       YARA rules

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Installation

From PyPI (Recommended)

pip install iocparser-tool

From Source

git clone https://github.com/seifreed/iocparser.git
cd iocparser
python3 -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -e .

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Quick Start

# Initialize MISP warning lists (first time only)
iocparser --init

# Analyze files
iocparser -f report.pdf
iocparser -f report.html
iocparser -u https://example.com/report.html

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Usage

Command Line Interface

# Basic analysis
iocparser -f report.pdf

# Save output to file
iocparser -f report.pdf -o results.json

# JSON format output
iocparser -f report.pdf --json

# Analyze from URL
iocparser -u https://example.com/report.html

# Force specific file type
iocparser -f report -t pdf

Available Options

Option	Description
-f, --file	Input file path
-u, --url	URL to analyze
-o, --output	Output file path
-t, --type	Force file type (pdf, html, text)
--json	Output in JSON format
--no-defang	Disable IOC defanging
--no-check-warnings	Skip MISP warning list check
--force-update	Force update MISP lists
--init	Initialize MISP warning lists

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Python Library

Basic Usage

from iocparser import extract_iocs_from_file, extract_iocs_from_text

# From file
normal_iocs, warning_iocs = extract_iocs_from_file('report.pdf')

# From text
text = "Malware contacts evil.com at 192.168.1.1"
normal_iocs, warning_iocs = extract_iocs_from_text(text)

# Print results
for ioc_type, iocs in normal_iocs.items():
    print(f"{ioc_type}: {iocs}")

Advanced Usage

from iocparser import IOCExtractor, PDFParser, MISPWarningLists

# Extract text from PDF
parser = PDFParser("report.pdf")
text = parser.extract_text()

# Extract IOCs
extractor = IOCExtractor(defang=True)
iocs = extractor.extract_all(text)

# Filter with MISP warning lists
warning_lists = MISPWarningLists()
normal, warnings = warning_lists.separate_iocs_by_warnings(iocs)

Individual Extractors

extractor = IOCExtractor(defang=True)

# Extract specific types
hashes_md5 = extractor.extract_md5(text)
hashes_sha256 = extractor.extract_sha256(text)
domains = extractor.extract_domains(text)
ips = extractor.extract_ips(text)
urls = extractor.extract_urls(text)
emails = extractor.extract_emails(text)
cves = extractor.extract_cves(text)
yara = extractor.extract_yara_rules(text)
registry = extractor.extract_registry(text)

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Examples

Process Multiple Reports

from iocparser import extract_iocs_from_file
from pathlib import Path

reports_dir = Path("reports")
for report in reports_dir.glob("*.pdf"):
    normal, warnings = extract_iocs_from_file(report)
    total = sum(len(v) for v in normal.values())
    print(f"{report.name}: {total} IOCs found")

Export to JSON

iocparser -f apt_report.pdf --json -o iocs.json

Analyze Threat Intelligence Feed

iocparser -u https://securelist.com/report.html --json

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Requirements

• Python 3.10+
• See pyproject.toml for full dependency list

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Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

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Support the Project

If you find IOCParser useful, consider supporting its development:

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License

This project is licensed under the MIT License - see the LICENSE file for details.

Attribution Required:

• Author: Marc Rivero | @seifreed
• Repository: github.com/seifreed/iocparser

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_{Made with dedication for the threat intelligence community}