base on A golang implementation of endlessh (SSH tarpit) exporting Prometheus metrics, visualized by a Grafana dashboard. # endlessh-go [](https://github.com/shizunge/endlessh-go/releases/latest) [](https://github.com/shizunge/endlessh-go/blob/main/LICENSE) [](https://hub.docker.com/r/shizunge/endlessh-go) [](https://hub.docker.com/r/shizunge/endlessh-go) [](https://github.com/shizunge/endlessh-go/actions/workflows/on-push.yml) [](https://www.codefactor.io/repository/github/shizunge/endlessh-go) A golang implementation of [endlessh](https://nullprogram.com/blog/2019/03/22/) exporting Prometheus metrics, visualized by a Grafana dashboard.  ## Introduction [Endlessh](https://nullprogram.com/blog/2019/03/22/) is a great idea that not only blocks the brute force SSH attacks, but also wastes attackers time as a kind of counter-attack. Besides trapping the attackers, I also want to visualize the Geolocations and other statistics of the sources of attacks. Unfortunately the wonderful original [C implementation of endlessh](https://github.com/skeeto/endlessh) only provides text based log, but I do not like the solution that writes extra scripts to parse the log outputs, then exports the results to a dashboard, because it would introduce extra layers in my current setup and it would depend on the format of the text log file rather than some structured data. Thus I create this golang implementation of endlessh to export [Prometheus](https://prometheus.io/) metrics and a [Grafana](https://grafana.com/) dashboard to visualize them. If you want a dashboard of sources of attacks and do not mind the endlessh server, besides trapping the attackers, does extra things including: translating IP to Geohash, exporting Prometheus metrics, and using more memory (about 10MB), this is the solution for you. ## Getting Started Clone the repo then build from source: ``` go build . ./endlessh-go & ``` Alternatively, you can use the [docker image](https://hub.docker.com/r/shizunge/endlessh-go): ``` docker run -d -p 2222:2222 shizunge/endlessh-go -logtostderr -v=1 ``` It listens to port `2222` by default. Then you can try to connect to the endlessh server. Your SSH client should hang there. ``` ssh -p 2222 localhost ``` If you want log like the [C implementation](https://github.com/skeeto/endlessh), you need to set both CLI arguments `-logtostderr` and `-v=1`, then the log will go to stderr. You can set different log destinations via CLI arguments. Also check out [examples](./examples/README.md) for the setup of the full stack. ## Usage `./endlessh-go --help` ``` Usage of ./endlessh-go -alsologtostderr log to standard error as well as files -conn_type string Connection type. Possible values are tcp, tcp4, tcp6 (default "tcp") -enable_prometheus Enable prometheus -geoip_supplier string Supplier to obtain Geohash of IPs. Possible values are "off", "ip-api", "max-mind-db" (default "off") -host string SSH listening address (default "0.0.0.0") -interval_ms int Message millisecond delay (default 1000) -line_length int Maximum banner line length (default 32) -log_backtrace_at value when logging hits line file:N, emit a stack trace -log_dir string If non-empty, write log files in this directory -log_link string If non-empty, add symbolic links in this directory to the log files -logbuflevel int Buffer log messages logged at this level or lower (-1 means don't buffer; 0 means buffer INFO only; ...). Has limited applicability on non-prod platforms. -logtostderr log to standard error instead of files -max_clients int Maximum number of clients (default 4096) -max_mind_db string Path to the MaxMind DB file. -port value SSH listening port. You may provide multiple -port flags to listen to multiple ports. (default "2222") -prometheus_clean_unseen_seconds int Remove series if the IP is not seen for the given time. Set to 0 to disable. (default 0) -prometheus_entry string Entry point for prometheus (default "metrics") -prometheus_host string The address for prometheus (default "0.0.0.0") -prometheus_port string The port for prometheus (default "2112") -proxy_protocol_enabled Enable PROXY protocol support. This causes the server to expect PROXY protocol headers on incoming connections. -proxy_protocol_read_header_timeout_ms int Timeout for reading the PROXY protocol header in milliseconds. If the connection does not send a valid PROXY protocol header in this time, the header is ignored. (default 200) -stderrthreshold value logs at or above this threshold go to stderr (default 2) -v value log level for V logs -vmodule value comma-separated list of pattern=N settings for file-filtered logging ``` ## Metrics Endlessh-go exports the following Prometheus metrics. | Metric | Type | Description | |--------------------------------------|-------|--------------| | endlessh_client_open_count_total | count | Total number of clients that tried to connect to this host. | | endlessh_client_closed_count_total | count | Total number of clients that stopped connecting to this host. | | endlessh_sent_bytes_total | count | Total bytes sent to clients that tried to connect to this host. | | endlessh_trapped_time_seconds_total | count | Total seconds clients spent on endlessh. | | endlessh_client_open_count | count | Number of connections of clients. <br> Labels: <br> <ul><li> `ip`: Remote IP of the client </li> <li> `local_port`: Local port the program listens to </li> <li> `country`: Country of the IP </li> <li> `location`: Country, Region, and City </li> <li> `geohash`: Geohash of the location </li></ul> | | endlessh_client_trapped_time_seconds | count | Seconds a client spends on endlessh. <br> Labels: <br> <ul><li> `ip`: Remote IP of the client </li> <li> `local_port`: Local port the program listens to </li></ul> | The metrics is off by default, you can turn it via the CLI argument `-enable_prometheus`. It listens to port `2112` and entry point is `/metrics` by default. The port and entry point can be changed via CLI arguments. The endlessh-go server stores the geohash of attackers as a label on `endlessh_client_open_count`, which is also off by default. You can turn it on via the CLI argument `-geoip_supplier`. The endlessh-go uses service from [ip-api](https://ip-api.com/), which may enforce a query rate and limit commercial use. Visit their website for their terms and policies. You could also use an offline GeoIP database from [MaxMind](https://www.maxmind.com) by setting `-geoip_supplier` to _max-mind-db_ and `-max_mind_db` to the path of the database file. ## Dashboard The dashboard requires Grafana 8.2. You can import the dashboard from Grafana.com using ID [15156](https://grafana.com/grafana/dashboards/15156) The dashboard visualizes data for the selected time range. The IP addresses are clickable and link you to the [ARIN](https://www.arin.net/) database. ## Contacts If you have any problems or questions, please contact me through a [GitHub issue](https://github.com/shizunge/endlessh-go/issues) ", Assign "at most 3 tags" to the expected json: {"id":"8942","tags":[]} "only from the tags list I provide: [{"id":39,"name":"3d-generation","display_name":"3D generation","slug":"3d-generation"},{"id":3,"name":"ai-agent","display_name":"AI agent","slug":"ai-agent"},{"id":8,"name":"ai-coding","display_name":"AI coding assistant","slug":"ai-coding"},{"id":5,"name":"ai-image","display_name":"AI image generation","slug":"ai-image"},{"id":9,"name":"ai-infrastructure","display_name":"AI infrastructure","slug":"ai-infrastructure"},{"id":10,"name":"ai-memory","display_name":"AI memory","slug":"ai-memory"},{"id":11,"name":"ai-skills","display_name":"AI skills","slug":"ai-skills"},{"id":12,"name":"ai-translation","display_name":"AI translation","slug":"ai-translation"},{"id":6,"name":"ai-video","display_name":"AI video generation","slug":"ai-video"},{"id":4,"name":"ai-voice","display_name":"AI voice","slug":"ai-voice"},{"id":7,"name":"ai-workflow","display_name":"AI workflow","slug":"ai-workflow"},{"id":22,"name":"audio-processing","display_name":"Audio processing","slug":"audio-processing"},{"id":29,"name":"authentication","display_name":"Authentication","slug":"authentication"},{"id":51,"name":"bundler","display_name":"Bundler","slug":"bundler"},{"id":41,"name":"chatbot","display_name":"Chatbot","slug":"chatbot"},{"id":27,"name":"cloud-native","display_name":"Cloud native","slug":"cloud-native"},{"id":1,"name":"computer-vision","display_name":"Computer vision","slug":"computer-vision"},{"id":37,"name":"crypto-trading","display_name":"Crypto trading","slug":"crypto-trading"},{"id":57,"name":"curated-list","display_name":"Curated list","slug":"curated-list"},{"id":54,"name":"data-streaming","display_name":"Data streaming","slug":"data-streaming"},{"id":35,"name":"data-visualization","display_name":"Data visualization","slug":"data-visualization"},{"id":16,"name":"database-backup","display_name":"Database backup","slug":"database-backup"},{"id":49,"name":"design-system","display_name":"Design system","slug":"design-system"},{"id":38,"name":"digital-human","display_name":"Digital human","slug":"digital-human"},{"id":34,"name":"document-processing","display_name":"Document processing","slug":"document-processing"},{"id":44,"name":"ecommerce","display_name":"E-commerce","slug":"ecommerce"},{"id":45,"name":"emulator","display_name":"Emulator","slug":"emulator"},{"id":46,"name":"file-management","display_name":"File management","slug":"file-management"},{"id":32,"name":"fintech","display_name":"Fintech","slug":"fintech"},{"id":31,"name":"game-development","display_name":"Game development","slug":"game-development"},{"id":24,"name":"headless-browser","display_name":"Headless browser","slug":"headless-browser"},{"id":52,"name":"headless-cms","display_name":"Headless CMS","slug":"headless-cms"},{"id":36,"name":"home-automation","display_name":"Home automation","slug":"home-automation"},{"id":20,"name":"image-editing","display_name":"Image editing","slug":"image-editing"},{"id":28,"name":"iot","display_name":"IoT","slug":"iot"},{"id":13,"name":"local-llm","display_name":"Local LLM","slug":"local-llm"},{"id":17,"name":"mcp","display_name":"MCP","slug":"mcp"},{"id":47,"name":"monitoring","display_name":"Monitoring","slug":"monitoring"},{"id":2,"name":"nlp","display_name":"NLP","slug":"nlp"},{"id":26,"name":"observability","display_name":"Observability","slug":"observability"},{"id":40,"name":"pentesting","display_name":"Pentesting","slug":"pentesting"},{"id":48,"name":"programming-examples","display_name":"Programming examples","slug":"programming-examples"},{"id":42,"name":"proxy","display_name":"Proxy","slug":"proxy"},{"id":14,"name":"rag","display_name":"RAG","slug":"rag"},{"id":56,"name":"resume-building","display_name":"Resume building","slug":"resume-building"},{"id":33,"name":"robotics","display_name":"Robotics","slug":"robotics"},{"id":30,"name":"search","display_name":"Search","slug":"search"},{"id":43,"name":"self-hosted","display_name":"Self-hosted","slug":"self-hosted"},{"id":50,"name":"static-analysis","display_name":"Static analysis","slug":"static-analysis"},{"id":18,"name":"synthetic-data","display_name":"Synthetic data","slug":"synthetic-data"},{"id":19,"name":"text-to-speech","display_name":"Text to speech","slug":"text-to-speech"},{"id":53,"name":"ui-components","display_name":"UI components","slug":"ui-components"},{"id":15,"name":"vector-database","display_name":"Vector database","slug":"vector-database"},{"id":21,"name":"video-editing","display_name":"Video editing","slug":"video-editing"},{"id":25,"name":"web-scraping","display_name":"Web scraping","slug":"web-scraping"},{"id":55,"name":"webassembly","display_name":"WebAssembly","slug":"webassembly"},{"id":23,"name":"workflow-automation","display_name":"Workflow automation","slug":"workflow-automation"}]" returns me the "expected json"