IP威胁报告
178.16.54.137
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 |
|---|---|---|---|
| Burst 11/2s | 请求频率异常——自动扫描 | +35 | |
| Burst 26/10s | 请求频率异常——自动扫描 | +35 | |
| Danger strong hits: 12 | 高风险路径：Webshell、RCE、漏洞利用 | +100 | |
| Danger strong hits: 23 | 高风险路径：Webshell、RCE、漏洞利用 | +100 | |
| Danger strong hits: 42 | 高风险路径：Webshell、RCE、漏洞利用 | +100 | |
| Danger strong hits: 62 | 高风险路径：Webshell、RCE、漏洞利用 | +100 | |
| Foreign referer | 来自无关外部域名的Referer | +10 |
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 178.16.54.137 已在应用层封锁（HTTP 403）
- 建议在防火墙层（iptables/CSF）进行封锁
- 在同一/24子网中检测到其他恶意IP——建议封锁 178.16.54.0/24
- 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
🌊 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178.16.54.137。
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
178.16.54.137 has been assigned a threat score of 180/100 (Critical). 这是一个严重级别的威胁。系统管理员应将此IP视为敌对地址，无例外地阻止所有入站连接。
The following attack categories were identified:
📊 Threat Analysis
IP地址178.16.54.137已追溯至Amsterdam, Netherlands，运营在Omegatech LTD的网络中。我们的威胁检测系统根据观察到的恶意行为模式标记了此地址。 我们的传感器在10天内捕获了来自此地址的414次恶意请求，反映出每天约41.4次的持续攻击节奏。 此IP被识别为VPN或代理端点，通常用于掩盖攻击流量的真实来源并绕过地理或信誉封锁。 来自此IP的基于速率的攻击旨在通过大量请求洪水压垮服务器资源。 评分180/100将此地址置于最高严重性级别。应封锁并调查任何历史连接。
This IP is associated with a VPN or proxy service. Attackers frequently route their traffic through anonymizing services to obscure their true location. This makes attribution more challenging but the malicious behavior patterns remain detectable.
Related Threats
🇳🇱 Top threats from Netherlands
91.92.241.192 (263)178.16.54.246 (235)158.94.209.225 (220)130.12.180.126 (195)158.94.210.148 (170)View all →Security Intelligence
💡 DDoS Mitigation Approaches
Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.
💡 Behavioral Analysis vs Signature Detection
Signature-based detection matches known attack patterns but misses novel threats. Behavioral analysis identifies anomalies in request patterns, timing, and volume, catching zero-day attacks that signatures cannot recognize.