Flan Scan is a lightweight network vulnerability scanner. With Flan Scan you can easily find open ports on your network, identify services and their version, and get a list of relevant CVEs affecting your network.

Flan Scan is a wrapper over Nmap and the vulners script which turns Nmap into a full-fledged network vulnerability scanner. Flan Scan makes it easy to deploy Nmap locally within a container, push results to the cloud, and deploy the scanner on Kubernetes.

Getting Started

1. Clone this repository

2. Make sure you have docker setup:

$ docker --version

3. Add the list of IP addresses or CIDRS you wish to scan to shared/ips.txt.

4. Build the container:

$ make build

5. Start scanning!

$ make start

When the scan finishes you will find a Latex report of the summarizing the scan in shared/results. You can also see the raw XML output from Nmap in shared/xml_files.

Custom Nmap Configuration

By default Flan Scan runs the following Nmap command:

$ nmap -sV -oX $root_dir$xml_dir/$filename -oN - -v1 $@ --script=vulners/vulners.nse $line

To add your own configuration to Nmap, after running make build run the container and pass in the Nmap arguments like so:

$ docker run -v $(shell pwd)/shared:/shared flan_scan <Nmap args>

Pushing Results to the Cloud
----------------------------

Flan Scan currently supports pushing Latex reports and raw XML Nmap output files to a GCS Bucket or to an AWS S3 Bucket. Flan Scan requires 2 environment variables to push results to the cloud. The first is `upload` which takes one of two values `gcp` or `aws`. The second is `bucket` and the value is the name of the S3 or GCS Bucket to upload the results to. To set the environment variables, after running `make build` run the container setting the environment variables like so:
```bash
$ docker run --name <container-name> \
             -v $(pwd)/shared:/shared \
             -e upload=<gcp or aws> \
             -e bucket=<bucket-name> \
             flan_scan

Below are some examples for adding the necessary AWS or GCP authentication keys as environment variables in container. However, this can also be accomplished with a secret in Kubernetes that exposes the necessary environment variables or with other secrets management tools.

Example GCS Bucket Configuration

Copy your GCS private key for a service account to the /shared file

$ cp <path-to-local-gcs-key>/key.json /shared/

Run the container setting the GOOGLE_APPLICATION_CREDENTIALS environment variable as the path to the GCS Key

$ docker run --name <container-name> \
             -v $(pwd)/shared:/shared \
             -e upload=gcp \
             -e bucket=<bucket-name> \
             -e GOOGLE_APPLICATION_CREDENTIALS=/shared/key.json
             flan_scan

Example AWS S3 Bucket Configuration

Set the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables to the corresponding variables for your S3 service account.

docker run --name <container-name> \
           -v $(pwd)/shared:/shared \
           -e upload=aws \
           -e bucket=<s3-bucket-name> \
           -e AWS_ACCESS_KEY_ID=<your-aws-access-key-id> \
           -e AWS_SECRET_ACCESS_KEY=<your-aws-secret-access-key> \
           flan_scan

Deploying on Kubernetes

When deploying Flan Scan to a container orchestration system, such as Kubernetes, you must ensure that the container has access to a file called ips.txt at the directory /. In Kubernetes, this can be done with a ConfigMap which will mount a file on your local filesystem as a volume that the container can access once deployed. The kustomization.yaml file has an example of how to create a ConfigMap called shared-files. This ConfigMap is then mounted as a volume in the deployment.yaml file.

Here are some easy steps to deploy Flan Scan on Kubernetes:

1. To create the the ConfigMap add a path to a local ips.txt file in kustomization.yaml and then run kubectl apply -k ..
2. Now run kubectl get configmap to make sure the ConfigMap was created properly.
3. Set the necessary environment variables and secrets for your cloud provider within deployment.yaml.
4. Now run kubectl apply -f deployment.yaml to launch a deployment running Flan Scan.

Flan Scan should be running on Kubernetes successfully!