
ABUSE.MOM — 规矩点,否则你将被曝光
| 签名 | 描述 | 分数 | 严重性 |
|---|---|---|---|
| Burst: 5 req / 2s | 请求频率异常——自动扫描 | +35 | |
| Burst: 6 req / 2s | 请求频率异常——自动扫描 | +35 | |
| Burst: 8 req / 2s | 请求频率异常——自动扫描 | +35 | |
| Foreign referer | 来自无关外部域名的Referer | +10 | |
| Foreign referer seen | 来自无关外部域名的Referer | +10 | |
| Imported from old blocklist | 自动分析检测到行为异常 | +0 | |
| UA changed | 多个User-Agent——机器人轮换技术 | +25 | |
| UA changed for same IP | 多个User-Agent——机器人轮换技术 | +25 |
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.
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94.103.90.150。
IP 94.103.90.150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。
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。
94.103.90.150 has been assigned a threat score of 70/100 (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:
IP地址94.103.90.150已追溯至Moscow, Russia,运营在Hosting technology 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。 在101天的时间内,此IP产生了22,106次恶意请求,平均每天约218.9次请求。 此地址属于数据中心或云托管提供商。托管IP经常被专门租用廉价VPS实例来进行攻击的威胁行为者利用。 识别出两种攻击模式(Request Flooding和User-Agent Anomaly),表明这是一个针对多个漏洞的半自动化攻击活动。 我们的记录显示来自Russia的140个恶意IP,使其成为全球威胁活动的重要贡献者。 评分70/100表明这是一个已确认的恶意行为者。网络级别封锁是适当的。
This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.
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.
Internet traffic routing through a limited number of submarine cables and exchange points creates natural chokepoints. Understanding these routing patterns helps explain geographic clustering of certain attack types and latency-based scanning behaviors.