Network Security Monitoring (NSM) > Real Intelligence Threat Analysis (RITA)
Open source framework for network traffic analysis that ingests Zeek logs and detects beaconing, DNS tunneling, and more.
RITA (Real Intelligence Threat Analytics)
If you get value out of RITA and would like to go a step further with hunting automation, futuristic visualizations, and data enrichment, then take a look at AC-Hunter.
Brought to you by Active Countermeasures.
Sponsored by BHIS.
RITA is an open source framework for network traffic analysis.
The framework ingests Zeek Logs in TSV or JSON format, and currently supports the following major features:
- Beaconing Detection: Search for signs of beaconing behavior in and out of your network
- Long Connection Detection: Easily see connections that have communicated for long periods of time
- DNS Tunneling Detection: Search for signs of DNS based covert channels
- Threat Intel Feed Checking: Query threat intel feeds to search for suspicious domains and hosts
Quick Start
Please see our recommended System Requirements. RITA requires Docker Engine with the Compose plugin.
Download the RITA Installer for the desired version.
Uncompress the installer tarfile.
tar -xf rita-<version>-installer.tar.gzRun the install script.
./rita-<version>-installer/install_rita.sh
Supported Platforms
The following operating systems/versions and CPU architectures are supported:
| OS | Versions | Platform |
|---|---|---|
| CentOS | 9 Stream |
amd64 |
| Rocky | 9 |
amd64 |
| RHEL | 9 |
amd64 |
| Ubuntu | 22.04, 24.04 |
amd64 |
Installing Zeek
RITA requires Zeek to generate network logs. If you do not already have Zeek installed, install docker-zeek and run zeek start.
Importing
Import data into RITA using the import command:
rita import --database=mydatabase --logs=~/mylogs
database is what you would like to name the dataset
logs is the path to the Zeek logs you wish to import
For datasets that should accumulate data over time, with the logs containing network info that is current (less than 24 hours old), use the --rolling flag during creation and each subsequent import into the dataset. The most common use case for this is importing logs from a Zeek sensor on a cron job each hour.
Note: For datasets that contain over 24 hours of logs, but are over 24 hours old, simply import the top-level directory of the set of logs without the --rolling flag. Importing these logs with the --rolling flag may result in incorrect results.
To destroy and recreate a dataset, use the --rebuild flag.
Configuration
See Configuration for details on adjusting scoring.
Searching
RITA follows a GitHub-style search syntax. Each field follows the <field>:<value> format, with each search criteria separated by a space.
For example:
src:192.168.88.2 dst:165.227.88.15 beacon:>=90 sort:duration-desc
Supported Search Fields
| Column | Field | Operators | Data Type |
|---|---|---|---|
| Severity | severity |
critical|high|medium|low |
|
| Source | src |
IP address | |
| Destination | dst |
IP address, FQDN | |
| Beacon Score | beacon |
>, >=, <, <= |
whole number |
| Duration | duration |
>, >=, <, <= |
string, ex:(2h45m) |
| Subdomains | subdomains |
>, >=, <, <= |
whole number |
| Threat Intel | threat_intel |
true|false |
Supported Sort Fields
The sort syntax is sort:<column>-<sort direction>, with the sort direction being asc for ascending or desc for descending.
Supported Columns:
- severity
- beacon
- duration
- subdomains
CSV Output
To output the results to CSV instead of viewing them within the terminal UI, pass the --stdout or -o flag to the view command:
The flag must be before the name of the dataset.
rita view --stdout mydataset
Terminal UI Color Support
The terminal UI (TUI) supports colorful output by default. It does not need to be enabled.
Check the value of the "$TERM" variable, this should be xterm-256color. If it is not, please set this variable in your OS's version of a ~/.bash_profile, ~/.profile, etc.
Depending on the color theme of your terminal, the TUI will adjust to either a light mode or a dark mode.
If you're really fancy and like pretty colors, consider using the Catpuccin theme!
