IP威胁报告
195.101.104.189
ABUSE.MOM — 规矩点，否则你将被曝光
地理位置与分类
检测签名
| 签名 | 描述 | 分数 | 严重性 |
|---|---|---|---|
| UA changed for same IP | 多个User-Agent——机器人轮换技术 | +25 | |
| Burst: 7 req / 2s | 请求频率异常——自动扫描 | +35 |
观察到的活动
从服务器访问日志重建的HTTP请求。出于安全考虑，目标域名已隐藏。
* Typical request patterns for detected signatures. Actual target domains are redacted.
时间线
网络供应商
建议
已采取和建议的措施
- IP 195.101.104.189 已在应用层封锁（HTTP 403）
- 建议在防火墙层（iptables/CSF）进行封锁
- 通过abuse联系方式向网络供应商举报
- 确保敏感文件（.env、.git、备份）无法从网络访问
🤖 User-Agent异常防御
IP 195.101.104.189显示可疑的UA行为。阻止空User-Agent请求。为敏感端点实施基于JavaScript的机器人检测。
🌊 洪水/DDoS缓解
在nginx中实施limit_req_zone。部署具有DDoS防护的CDN。配置SYN cookies和连接跟踪以限制195.101.104.189。
开放端口和服务
来自Shodan的网络侦察数据。开放端口可能表示正在运行的服务、错误配置或潜在的攻击面。
| Port | Service | Risk | Description |
|---|---|---|---|
| 22 | SSH | Low | Secure Shell — common brute force target for remote access |
| 8443 | HTTPS-Alt | Low | Service on port 8443 |
| 10001 | Unknown | Low | Service on port 10001 |
| 10004 | Unknown | Low | Service on port 10004 |
| 10007 | Unknown | Low | Service on port 10007 |
| 10009 | Unknown | Low | Service on port 10009 |
| 10011 | Unknown | Low | Service on port 10011 |
| 10012 | Unknown | Low | Service on port 10012 |
| 10013 | Unknown | Low | Service on port 10013 |
| 10015 | Unknown | Low | Service on port 10015 |
| 10016 | Unknown | Low | Service on port 10016 |
| 10017 | Unknown | Low | Service on port 10017 |
| 10018 | Unknown | Low | Service on port 10018 |
| 10020 | Unknown | Low | Service on port 10020 |
| 10022 | Unknown | Low | Service on port 10022 |
| 10023 | Unknown | Low | Service on port 10023 |
| 10024 | Unknown | Low | Service on port 10024 |
| 10026 | Unknown | Low | Service on port 10026 |
| 11001 | Unknown | Low | Service on port 11001 |
数据来源：Shodan InternetDB。独立于abuse.mom进行扫描。
黑名单状态 (DNSBL)
该IP已通过全球邮件服务器和防火墙使用的主要DNS黑名单进行检查。
已检查：Spamhaus、SpamCop、Barracuda、SORBS、CBL、UCEProtect。
Threat Analysis
195.101.104.189 has been assigned a threat score of 60/100 (High). 在此威胁级别下，该IP被视为高风险。应更新防火墙规则以拒绝来自此来源的流量。
The following attack categories were identified:
📊 Threat Analysis
我们的监控基础设施已将195.101.104.189（地理位置为Lille, France，运营在Orange S.A.的网络中）识别为可疑网络活动的来源。 在其1天的观察窗口期间，我们记录了来自此IP的1次敌对请求——平均每天约1次。 这是一个住宅IP地址，表明可能是被入侵的家用设备，如路由器、智能设备或参与僵尸网络的受感染工作站。 识别出两种攻击模式（User-Agent Anomaly和Request Flooding），表明这是一个针对多个漏洞的半自动化攻击活动。 France目前在我们的数据库中占135个被封锁IP，使其成为恶意流量的重要来源。 评分60/100需要主动监控和速率限制。建议对敏感系统进行完全封锁。
This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.
Related Threats
Security Intelligence
💡 HTTP Header Analysis for Threat Detection
Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.
💡 Machine Learning in Threat Detection
Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.