
ABUSE.MOM — 规矩点,否则你将被曝光
| 签名 | 描述 | 分数 | 严重性 |
|---|---|---|---|
| 404 ratio 40-60% | 大多数请求返回404——目录枚举 | +15 | |
| 404 ratio >= 60% | 大多数请求返回404——目录枚举 | +25 | |
| Danger medium hits: 1 | 中等风险:管理面板、配置文件 | +10 | |
| Danger strong hits: 1 | 高风险路径:Webshell、RCE、漏洞利用 | +25 | |
| Danger strong hits: 2 | 高风险路径:Webshell、RCE、漏洞利用 | +50 | |
| 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 | |
| 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 | |
| UA suspicious (short/empty) | 自动分析检测到行为异常 | +15 |
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.
IP 136.144.35.37正在枚举目录。在10次以上404错误后配置fail2ban apache-404 jail。禁用目录列表。
IP 136.144.35.37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。
来自同一/24子网的其他被封锁IP——表明该网络范围存在系统性滥用。
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。
136.144.35.37 has been assigned a threat score of 100/100 (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。
The following attack categories were identified:
136.144.35.37注册在Trenton, United States,运营在Latitude.sh的网络中。该IP在触发多个行为检测签名后首次出现在我们的威胁源中。 我们的传感器在73天内捕获了来自此地址的547次恶意请求,反映出每天约7.5次的持续攻击节奏。 该地址作为VPN/代理出口节点运营。攻击者通过匿名化服务路由流量以隐藏真实位置。 识别出两种攻击模式(Path Enumeration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United States的231个恶意IP,使其成为全球威胁活动的重要贡献者。 评分100/100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.
Path traversal attacks attempt to access files outside the intended directory by manipulating file path references. Attackers use sequences like ../ to reach sensitive system files such as /etc/passwd or application configuration files.
Artificial intelligence enables more convincing phishing content, faster vulnerability discovery, and adaptive attack strategies that learn from defensive responses. AI-generated social engineering and automated exploit development represent growing threats.