endlessh-go

endlessh-go

Go语言实现的SSH蜜罐工具 支持Prometheus指标和Grafana可视化

endlessh-go是一个Go语言实现的SSH蜜罐工具,用于阻止暴力破解攻击并消耗攻击者时间。它支持导出Prometheus指标,通过Grafana仪表板可视化攻击源地理位置和统计数据。该项目易于部署,支持Docker,提供灵活配置。endlessh-go适合需要监控SSH攻击模式的安全专业人员使用。

endlessh-goSSH攻击防御Prometheus指标Grafana仪表板GeoIPGithub开源项目

endlessh-go

A golang implementation of endlessh exporting Prometheus metrics, visualized by a Grafana dashboard.

screenshot

Introduction

Endlessh 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 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 metrics and a Grafana 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:

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, 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 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")
  -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.

MetricTypeDescription
endlessh_client_open_count_totalcountTotal number of clients that tried to connect to this host.
endlessh_client_closed_count_totalcountTotal number of clients that stopped connecting to this host.
endlessh_sent_bytes_totalcountTotal bytes sent to clients that tried to connect to this host.
endlessh_trapped_time_seconds_totalcountTotal seconds clients spent on endlessh.
endlessh_client_open_countcountNumber 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_secondscountSeconds 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, 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 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

The dashboard visualizes data for the selected time range.

The IP addresses are clickable and link you to the ARIN database.

Contacts

If you have any problems or questions, please contact me through a GitHub issue

编辑推荐精选

Refly.AI

Refly.AI

最适合小白的AI自动化工作流平台

无需编码,轻松生成可复用、可变现的AI自动化工作流

酷表ChatExcel

酷表ChatExcel

大模型驱动的Excel数据处理工具

基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。

AI工具酷表ChatExcelAI智能客服AI营销产品使用教程
TRAE编程

TRAE编程

AI辅助编程,代码自动修复

Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。

AI工具TraeAI IDE协作生产力转型热门
AIWritePaper论文写作

AIWritePaper论文写作

AI论文写作指导平台

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

AI辅助写作AI工具AI论文工具论文写作智能生成大纲数据安全AI助手热门
博思AIPPT

博思AIPPT

AI一键生成PPT,就用博思AIPPT!

博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。

AI办公办公工具AI工具博思AIPPTAI生成PPT智能排版海量精品模板AI创作热门
潮际好麦

潮际好麦

AI赋能电商视觉革命,一站式智能商拍平台

潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。

iTerms

iTerms

企业专属的AI法律顾问

iTerms是法大大集团旗下法律子品牌,基于最先进的大语言模型(LLM)、专业的法律知识库和强大的智能体架构,帮助企业扫清合规障碍,筑牢风控防线,成为您企业专属的AI法律顾问。

SimilarWeb流量提升

SimilarWeb流量提升

稳定高效的流量提升解决方案,助力品牌曝光

稳定高效的流量提升解决方案,助力品牌曝光

Sora2视频免费生成

Sora2视频免费生成

最新版Sora2模型免费使用,一键生成无水印视频

最新版Sora2模型免费使用,一键生成无水印视频

Transly

Transly

实时语音翻译/同声传译工具

Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。

下拉加载更多