certleak 0.0.1

Python framework for collecting and analyzing TLS certificate data via the Certificate Transparency Network

certleak - Cert-Monitoring Python Framework

Monitor ssl certificates in real time!
Certleak is a tool to analyze TLS certificates as they are issued. It is heavily inspired by Phishing Catcher by x0rz.

It utilizes the Certificate Transparency Network which is a framework for publicly monitoring issuance of TLS certificates.

A regular use case of this tool is to find phishing domains before they are actively used in the wild.

Instead of querying the single transparency log servers individually, certleak uses certstream for analyzing certificates in real time. Certleak uses about 2600-3000 kbit/s of bandwidth. Since certleak uses certstream, it only enables you to analyze live data. There is no way to use this tool to analyze certificates that have been issued in the past or while being offline.

Extensibility

Creating new analyzers or actions is as easy as creating a new python file. Certleak is built with extensibility in mind. Check the analyzer docs as well as the actions docs.

Installation

Simply use pip to install this tool.

pip install certleak

Usage

After downloading and installing the package, you only need to create a small python script in which you import certleak and set up the analyzers and the belonging actions. Below you'll find an example configuration. Keep in mind that it's fully up to you what analyzers you want to add and which actions you want to be executed.

In general the workflow is as follows: New Certificate -> Analyzer matches -> Actions are executed

# -*- coding: utf-8 -*-
import logging
from pathlib import Path

from certleak import CertLeak
from certleak.actions import LogAction, DatabaseAction
from certleak.analyzers import (FullDomainAnalyzer, TLDAnalyzer, WildcardCertAnalyzer, X509Analyzer, LetsEncryptAnalyzer,
                                RegexDomainAnalyzer, DNStwistAnalyzer)
from certleak.database import SQLiteDB

certleak = CertLeak()

# Set up database
path = Path.cwd().absolute() / "phish.db"
db = SQLiteDB(str(path))

# Set up actions
db_action = DatabaseAction(db)
logaction = LogAction(level=logging.INFO, template="${analyzer_name} found: ${leaf_cert.subject.CN} () - ${leaf_cert.all_domains}")

# Set up analyzers
xyz_tld_analyzer = TLDAnalyzer(logaction, ["xyz"], blacklist="acmetestbykeychestdotnet") & X509Analyzer()
phishing_analyzer = FullDomainAnalyzer([db_action, logaction], ["paypal", "amazon"])
regex_analyzer = RegexDomainAnalyzer([db_action, logaction], r"([^.]*-)?pay[-_]?pa[l1i][-.].*")

wildcard_analyzer = WildcardCertAnalyzer([db_action, logaction]) & X509Analyzer()
letsencrypt_analyzer = LetsEncryptAnalyzer(db_action) & X509Analyzer()

# Set up DNStwist Analyzer - generates a list of potential phishing domains at start. Based on the DNStwist module.
dns = DNStwistAnalyzer(logaction, "paypal.com") & X509Analyzer()

certleak.add_analyzer(dns)
certleak.add_analyzer(xyz_tld_analyzer)
certleak.add_analyzer(phishing_analyzer)
certleak.add_analyzer(regex_analyzer)
certleak.add_analyzer(wildcard_analyzer)
certleak.add_analyzer(letsencrypt_analyzer)

certleak.start()

You can find full example files in this repo as well.

License

This tool is released under the MIT license.

If you found this tool helpful and want to support me, drop me a coffee at the link below.