iocparser-tool 7.0.0

A tool for extracting Indicators of Compromise from security reports

IOCParser

Production-grade IOC extraction, enrichment, persistence, and pipeline tooling for threat intelligence workflows

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Overview

IOCParser extracts Indicators of Compromise from reports, feeds, URLs, stdin, and directory trees. It supports refanging, MISP warning-list enrichment, structured renderers, persisted run history, IOC search, run diffs, and queue-backed distributed processing.

Key Features

Feature	Description
Multi-source ingestion	Parse PDF, HTML, text, stdin, URLs, URL lists, multi-file batches, and directories
IOC extraction	Detect hashes, network indicators, Windows artifacts, threat-intel IDs, crypto addresses, YARA, and more
Warning-list enrichment	MISP warning-list matching with normal/warning separation and evidence context
Structured outputs	Render text, summary, JSON, JSONL, CSV, and STIX 2.1
Persistence	Store runs in SQLite or MariaDB-compatible SQLAlchemy backends
Search and diff	Query persisted IOCs, export runs, diff runs, and compare against latest successful source runs
Batch operations	URL retries, backoff, rate limiting, concurrency, and failed-item replay reports
Distributed pipeline	Filesystem, RabbitMQ, SQS, and Celery queue adapters with persisted job lifecycle
Plugin surface	Custom renderers, enrichers, extractors, postprocessors, and IOC types

Supported Outputs

Human reports    text, summary
Data formats     JSON, JSONL, CSV
Threat intel     STIX 2.1 bundles
Persistence      run exports, IOC search pages, structured run diffs
Operations       URL batch reports, pipeline job results, schema artifacts

Supported IOC Families

Hashes          MD5, SHA1, SHA256, SHA512, SSDEEP, IMPHASH
Network         Domains, Hosts, IPv4, IPv6, URLs, Emails, ASNs
Windows         Registry keys, mutexes, named pipes, service names
Artifacts       Filenames, filepaths, certificate serials, JWT, user agents
Threat intel    CVEs, MITRE ATT&CK techniques, YARA rules
Crypto          Bitcoin, Ethereum, Monero
Other           MAC addresses

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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 .

Development Extras

pip install -e ".[dev]"

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Quick Start

# Initialize warning lists once
iocparser --init

# Extract from file, URL, or stdin
iocparser -f report.pdf
iocparser -u https://example.com/report.html
cat report.txt | iocparser --stdin --json

# Persist and query later
iocparser -f report.txt --persist --db-uri "sqlite:///iocparser.db"
iocparser --list-runs --db-uri "sqlite:///iocparser.db"

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Usage

Command Line Interface

# Single inputs
iocparser -f report.pdf
iocparser https://example.com/report.html
iocparser --stdin < report.txt

# Batch files and URL feeds
iocparser -m report1.txt report2.txt report3.txt
iocparser -d reports --recursive --glob "*.html"
iocparser --url-file feeds.txt --url-workers 8 --url-retries 2 --batch-report-json batch.json

# Output formats
iocparser -f report.txt --json
iocparser -f report.txt --jsonl
iocparser -f report.txt --csv
iocparser -f report.txt --stix --stix-types domains,urls,ips
iocparser -f report.txt --summary

# Analyst filters
iocparser -f report.txt --only urls,domains --severity medium --with-context
iocparser -f report.txt --exclude yara,registry --only-normal
iocparser -f report.txt --sort-by severity --max-evidence 1

Available Options (Main Workflows)

Workflow	Description
-f, --file	Parse a single file or - for stdin
-u, --url	Download and parse one URL
--stdin	Read IOC text from stdin
-m, --multiple	Parse multiple files and merge results
-d, --directory	Parse files from a directory, with --recursive and --glob
--url-file	Parse a URL feed with workers, retries, backoff, and rate limiting
--streaming	Process large files in chunks
--persist	Save extraction run metadata and IOCs to a database
--list-runs	List persisted runs
--search-ioc	Search persisted IOC values with auto, fts, or like backends
--export-run	Export a persisted run as text, JSON, JSONL, CSV, or STIX
--diff-runs	Compare two persisted runs
--diff-latest	Compare a run with the latest successful run from the same source
--retry-failed-from	Replay failed URL items from a previous batch report
--schema-version, --migrate	Inspect or migrate the persistence schema

Persistence Examples

# Search persisted IOCs
iocparser --search-ioc evil.example --db-uri "sqlite:///iocparser.db"
iocparser --search-ioc evil.example --ioc-type urls --severity informational --tag warning-list-match

# Export and diff runs
iocparser --export-run 42 --json --db-uri "sqlite:///iocparser.db"
iocparser --diff-runs 40 42 --diff-only added --json --db-uri "sqlite:///iocparser.db"
iocparser --diff-latest 42 --summary --db-uri "sqlite:///iocparser.db"

# Maintenance
iocparser --delete-run 42 --db-uri "sqlite:///iocparser.db"
iocparser --prune-before 2026-01-01T00:00:00 --keep-latest 10 --db-uri "sqlite:///iocparser.db"

HTTP and Batch Flags

Option	Description
--url-workers	Number of concurrent URL workers
--url-retries	Per-URL retry attempts
--url-backoff	Backoff between URL retries
--rate-limit	Delay between URL fetches
--user-agent	Custom HTTP user agent
--header, --cookie, --proxy	HTTP request customization
--allow-redirects, --tls-verify, --tls-cert, --ca-bundle	Redirect and TLS policy
--connect-timeout, --read-timeout	HTTP timeout policy

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Python Library

Extraction API

from iocparser import extraction

normal_iocs, warning_iocs = extraction.extract_iocs_from_file("report.pdf")
normal_iocs, warning_iocs = extraction.extract_iocs_from_text("evil.example 198.51.100.10")
normal_iocs, warning_iocs = extraction.extract_iocs_from_url(
    "https://example.com/report.html",
    only="urls,domains",
    exclude="registry",
)

result = extraction.extract_result_from_file("report.pdf")
print(result.total_count())

Persistence API

from iocparser import persistence

db_uri = "sqlite:///iocparser.db"

runs = persistence.list_persisted_runs(db_uri=db_uri, limit=10)
hits = persistence.search_persisted_iocs(
    db_uri=db_uri,
    value="evil.example",
    ioc_type="urls",
    min_severity="medium",
    tag="network",
)
exported = persistence.export_persisted_run(db_uri=db_uri, run_id=42)
diff = persistence.diff_persisted_runs(db_uri=db_uri, left_run_id=40, right_run_id=42)

Distributed Pipeline API

from iocparser import pipeline

client = pipeline.DistributedPipelineClient(
    db_uri="sqlite:///iocparser.db",
    queue_backend="filesystem",
    queue_path=".iocparser-queue",
)

job = client.submit(
    pipeline.PipelineJobRequest(
        input_kind="text",
        source_value="IOC hxxp://evil.example",
        persist=True,
        db_uri="sqlite:///iocparser.db",
        check_warnings=False,
    ),
    queue_name="ingest",
)

client.process_next(queue_name="ingest")
state = client.get_job(job_id=job.job_id)

Lower-level Components

from iocparser.infrastructure.extraction import IOCExtractor
from iocparser.infrastructure.file_parser import PDFParser
from iocparser.infrastructure.warninglists import MISPWarningLists

text = PDFParser("report.pdf").extract_text()
raw_iocs = IOCExtractor(defang=True).extract_all(text)
warning_lists = MISPWarningLists()

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Configuration

IOCParser resolves configuration in this order:

1. CLI arguments
2. Environment variables
3. INI file

export IOCPARSER_PERSIST=1
export IOCPARSER_DB_URI="sqlite:///iocparser.db"

[database]
persist = true
uri = sqlite:///iocparser.db

[defaults]
only = urls,domains
exclude = yara
output_format = json
with_context = true
severity = medium,high

[network]
url_workers = 8
url_retries = 2
url_backoff = 0.25
rate_limit = 0.10

Included deployment profiles:

• deploy/iocparser.local.example.ini
• deploy/iocparser.scale.example.ini
• deploy/iocparser.production.example.ini

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Pipeline and Schemas

IOCParser exposes versioned machine-readable contracts for batch reporting and queue-backed processing.

Document	Scope
docs/PIPELINE_CONTRACT.md	Worker input/result contracts and resource limits
docs/DISTRIBUTED_PIPELINE.md	Queue-backed execution with filesystem, RabbitMQ, SQS, and Celery
docs/WORKER_DEPLOYMENT.md	Worker deployment guidance
docs/SCHEMA_ARTIFACTS.md	JSON schema artifacts and release publication
docs/SECURITY_OPERATIONS.md	Secret handling and operational guidance

Standalone worker:

IOCPARSER_WORKER_QUEUE_BACKEND=filesystem \
IOCPARSER_WORKER_QUEUE_PATH=.iocparser-queue \
IOCPARSER_WORKER_QUEUE_NAME=ingest \
IOCPARSER_WORKER_DB_URI=sqlite:///iocparser.db \
iocparser-worker

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Requirements

• Python 3.13 or 3.14
• libmagic runtime support for file type detection
• See pyproject.toml for dependencies and optional pipeline extras

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Support the Project

If this project is useful in your workflows, you can support development:

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License

This project is licensed under the MIT license. See LICENSE.

Attribution

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

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_{Built for practical IOC extraction, threat-intelligence automation, and security operations}