
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 | |
| Danger medium hits: 12 | 中等风险:管理面板、配置文件 | +60 | |
| Danger medium hits: 14 | 中等风险:管理面板、配置文件 | +60 | |
| Danger medium hits: 16 | 中等风险:管理面板、配置文件 | +60 | |
| Danger medium hits: 4 | 中等风险:管理面板、配置文件 | +40 | |
| Danger medium hits: 5 | 中等风险:管理面板、配置文件 | +50 | |
| Danger medium hits: 8 | 中等风险:管理面板、配置文件 | +60 | |
| Danger medium hits: 9 | 中等风险:管理面板、配置文件 | +60 | |
| Foreign referer | 来自无关外部域名的Referer | +10 | |
| Probe 302→404 | 自动分析检测到行为异常 | +20 | |
| UA changed | 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.
IP 51.79.168.112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 51.79.168.112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。
51.79.168.112 has been assigned a threat score of 130/100 (Critical). 这将其归入严重威胁类别。强烈建议在所有网络边界立即进行封锁。
The following attack categories were identified:
我们的监控基础设施已将51.79.168.112(地理位置为Singapore, Singapore,运营在OVH SAS的网络中)识别为可疑网络活动的来源。 在1天的时间内,此IP产生了44次恶意请求,平均每天约44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(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。 评分130/100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 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.
Vulnerability scanning is the automated process of probing web applications for known weaknesses. Attackers use tools like Nuclei, Nikto, and ZAP to test thousands of hosts per hour, looking for exposed configuration files, outdated software, and default credentials.
Brute force attacks systematically try username and password combinations to gain unauthorized access. Modern attacks leverage credential databases from previous breaches, testing millions of combinations using distributed botnets across multiple IP addresses.