This is the code used in our experiment to collect phishing kits at scale. This requires integrations with phishing feed providers, which may need API keys or other credentials.
We ran our experiment using an Amazon EC2 instance. This are the basic commands to get up and running.
First, you need to install Elasticsearch and Kibana
# Remove Java 1.7 in favor of Java 1.8
sudo yum install java-1.8.0
sudo yum remove java-1.7.0-openjdk
# Then, install Elasticsearch
sudo rpm --import https://artifacts.elastic.co/GPG-KEY-elasticsearch
echo '[elasticsearch-5.x]
name=Elasticsearch repository for 5.x packages
baseurl=https://artifacts.elastic.co/packages/5.x/yum
gpgcheck=1
gpgkey=https://artifacts.elastic.co/GPG-KEY-elasticsearch
enabled=1
autorefresh=1
type=rpm-md' | sudo tee /etc/yum.repos.d/elasticsearch.repo > /dev/null
sudo yum install elasticsearch
sudo chkconfig --add elasticsearch
# Start Elasticsearch
sudo -i service elasticsearch start
# Install Kibana
echo '[kibana-5.x]
name=Kibana repository for 5.x packages
baseurl=https://artifacts.elastic.co/packages/5.x/yum
gpgcheck=1
gpgkey=https://artifacts.elastic.co/GPG-KEY-elasticsearch
enabled=1
autorefresh=1
type=rpm-md' | sudo tee /etc/yum.repos.d/kibana.repo > /dev/null
sudo yum install kibana
sudo chkconfig --add kibana
# Start Kibana
sudo -i service kibana start
To get the phish_collect code, clone the repository from Github:
git clone https://github.com/duo-labs/phish_collect.git
cd phish_collect
To index values in Elasticsearch, we have to create our indexes. We can do that with this command:
curl -XPUT localhost:9200/samples -H "Content-Type: application/json" -d @es_index.json
Next, you need to install all the requirements:
virtualenv .env
source .env/bin/activate
pip install -r requirements.txt
chmod +x run.sh
Since we want to run the script every 10 minutes, we need to add the following to our crontab:
*/10 * * * * cd phish_collect && ./run.sh
That's all there is to it! Now new samples will be downloaded and indexed to Kibana.
We've added a simple Flask server to let you submit URLs from external sources. It only has one endpoint, /, that accepts the following POST parameters:
url- The URL to processpid(optional) - The sample ID (default:uuid4())feed(optional) - The feed (default:server)
The response is a JSON payload of {"processing": true}. The sample is processed in the background by a pool of workers.
To start the server, simply run python server.py. Configuration settings (interface and port) can be found in config.toml.
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