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threatseer
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efficient linux security monitoring
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threatseer
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# threatseer <img align="right" src="docs/images/gopher.svg" width="25%"> Threatseer is a lightweight agent-based security telemetry solution for Linux. ### Try running threatseer [with Docker](docs/RUN_IT.md) [](https://travis-ci.org/dustin-decker/threatseer) ## Features ### Agent features The agent collects security telemetry which is offloaded to a server for behavioral analysis and the rest. - event-driven structured data of important system events - container lifecycle - processes touching sensitive data - processes spawned and lifecycle events - network events - low resource cost: typically less than ~1% of one CPU core, ~30MiB RAM - ~5mb statically compiled binary deployable ### Server features <img align="right" src="docs/images/global_coverage.svg" width="50%"/> The server component uses several behavioral analysis engines for scoring events and has several JSON telemetry output methods available: #### Behavioral Analysis Engines - Profile - automatic execution behavior profile generated for container image or process lifecycle - Static - risky processes, file/directory integrity monitoring (todo), known IOCs (todo) - Dynamic - custom queries #### Telemetry outputs - Elasticsearch - Kafka - Logstash - Redis - File - Stdout ## Example telemetry ### container RCE event successful blind remote code execution (RCE) callback ```json { "@timestamp":"2018-05-26T15:06:14.397Z", "src_ip":"127.0.0.1", "event":{ "id":"714966143a853b3bf55ccb2683a3b6bcfcbf731f9318705485609d8ef7711b13", "container_name": "/cranky_kowalevski", "image_id": "3fd9065eaf02feaf94d68376da52541925650b81698c53c6824d92ff63f98353", "image_name": "alpine", "process_pid":3789, "sensor_id":"49c921bc827b2aa9b5f20b0e65af9c3126c79221bac4f2b2a7edd7db7e3774aa", "Event":{ "Process":{ "type":2, "exec_filename":"/usr/bin/dig", "exec_command_line":[ "dig", "+short", "ifjeow0234f90iwefo2odj.wat.lol" ] } } }, "indicators":[ { "Engine":"static", "RuleName":"", "IndicatorType":"risky_process", "Description":"dig is a risky process often used for exfil / callback", "ExtraInfo":"", "Score":70 }, { "Engine":"dynamic", "RuleName":"insider_threat", "IndicatorType":"custom", "Description":"it's coming from inside the house!", "ExtraInfo":"origin was 127.0.0.1", "Score":60 }, { "Engine":"profile", "RuleName":"", "IndicatorType":"abnormal_behavior", "Description":"subject is behaving outside of its profile", "ExtraInfo":"", "Score":50 } ] } ``` ## Architecture <p align="center"> <img src="docs/images/components.svg" width="100%"/> </p> See [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md) for more info. ## Docs Docs are sparse at the moment. Threatseer is still under heavy development. ### [docs/RUN_IT.md](docs/RUN_IT.md) ### [docs/HACKING.md](docs/HACKING.md) ### [docs/CONFIGURING.md](docs/CONFIGURING.md) ## Acknowledgements - [Capsule8](https://capsule8.com/) for their [opensource library](https://github.com/capsule8/capsule8) that made the agent sensor implementation possible. They're the ones doing the most innovation and work, and they have an [interesting product](https://capsule8.com/product/#platform) that makes use of the library.