
ABUSE.MOM — 规矩点,否则你将被曝光
| 签名 | 描述 | 分数 | 严重性 |
|---|---|---|---|
| Danger strong hits: 3 | 高风险路径:Webshell、RCE、漏洞利用 | +75 | |
| Danger medium hits: 2 | 中等风险:管理面板、配置文件 | +20 | |
| POST requests present | 自动分析检测到行为异常 | +8 |
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103.50.83.45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。
103.50.83.45 has been assigned a threat score of 103/100 (Critical). 这代表着极高风险等级。我们的检测系统已从该地址标记出多个高置信度的恶意意图指标。
威胁情报分析将103.50.83.45与来自Howrah, India,运营在Alliance Broadband Services的网络中的恶意活动相关联。该地址自首次检测以来一直处于观察状态。 该地址在我们的监控系统中活跃了1天,产生了1次标记请求,速率约为每天1次。 从住宅网络运营,此IP可能代表一个被入侵的家庭网关或已被招募到更大攻击基础设施中的IoT设备。 我们的记录显示来自India的158个恶意IP,使其成为全球威胁活动的重要贡献者。 评分103/100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 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.
Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.
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.