Catch possible phishing domains in near real time by looking for suspicious TLS certificate issuances reported to the Certificate Transparency Log (CTL) via the CertStream API. "Suspicious" issuances are those whose domain name scores beyond a certain threshold based on a configuration file.
This is just a working PoC. Feel free to contribute and tweak the code to fit your needs.
The script should work fine using Python2 or Python3. In either case, install the requirements after cloning or downloading the source code:
pip install -r requirements.txt
Phishing Catcher uses a simple YAML configuration file to assign a numeric score for strings that can be found in a TLS certificate's common name or SAN field (i.e., a cert's domain name). The configuration file,
suspicious.yaml, ships with sensible defaults, but you can adjust or add to both the strings it contains and the score assigned to each string by editing an override file,
Both the default
suspicious.yaml and the user-modifiable
external.yaml configuration files contain two YAML dictionaries:
tlds. The keys of the dictionaries are the strings and the values are the scores to assign if that string is found in the domain name for an issued certificate. For example:
keywords: 'login': 25
Here, a score of
25 is added to the generic keyword
login when it is found in a TLS certificate domain name. Increasing this value will raise the level of suspicion against domains with the string
login in them, thus allowing you to subject these certificate issuances to increased scrutiny.
However, in order to be reported as suspicious by Phishing Catcher, the score assigned to a given certificate must meet or exceed (
>=, "greater than or equal to") the following thresholds:
score_domain()function in the source code for details regarding the scoring algorithm.
Once configured to your liking, usage is as simple as running the script:
Example phishing caught
Phishing catcher in Docker container
If you running MacOs or having a different OS version that would make the installation of phishing_catcher difficult, then having the tool dockerized is one of your options.
docker build . -t phishing_catcher
If this tool has been useful for you, feel free to thank me by buying me a coffee.