
ABUSE.MOM — 规矩点,否则你将被曝光
| 签名 | 描述 | 分数 | 严重性 |
|---|---|---|---|
| Malicious Activity | 自动分析检测到行为异常 | +0 |
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.
将167.99.88.87添加到防火墙封锁列表。检查日志中的成功连接。在所有面向公众的服务上启用全面日志记录。
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。
167.99.88.87 has been assigned a threat score of 85/100 (Critical). 凭借此评分,该IP属于严重威胁级别——是我们监控数据库中最危险的地址之一。
地址167.99.88.87来源于Slough, United Kingdom,运营在DigitalOcean, LLC的网络中。它是通过对受监控端点的入站网络流量进行自动分析而被识别的。 在5天的时间内,此IP产生了151次恶意请求,平均每天约30.2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。 我们的记录显示来自United Kingdom的3,204个恶意IP,使其成为全球威胁活动的主要贡献者。 威胁评分85/100将此IP置于高风险类别。建议在防火墙级别进行封锁。
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.
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.
Botnet C2 infrastructure has evolved from centralized IRC channels to resilient peer-to-peer networks, domain generation algorithms, and blockchain-based communication. This evolution makes botnet takedowns increasingly difficult and expensive.