
ABUSE.MOM — 规矩点,否则你将被曝光
| 签名 | 描述 | 分数 | 严重性 |
|---|---|---|---|
| Danger medium hits: 1 | 中等风险:管理面板、配置文件 | +10 | |
| 404 ratio 40-60% | 大多数请求返回404——目录枚举 | +15 | |
| Foreign referer seen | 来自无关外部域名的Referer | +10 | |
| UA changed for same IP | 多个User-Agent——机器人轮换技术 | +25 | |
| Danger medium hits: 2 | 中等风险:管理面板、配置文件 | +20 |
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 155.138.207.246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 155.138.207.246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Shodan的网络侦察数据。开放端口可能表示正在运行的服务、错误配置或潜在的攻击面。
| Port | Service | Risk | Description |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| 3310 | Unknown | Low | Service on port 3310 |
| 8443 | HTTPS-Alt | Low | Service on port 8443 |
| 9222 | Unknown | Low | Service on port 9222 |
| 9223 | Unknown | Low | Service on port 9223 |
| 9515 | Unknown | Low | Service on port 9515 |
| 22222 | Unknown | Low | Service on port 22222 |
数据来源:Shodan InternetDB。独立于abuse.mom进行扫描。
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。
155.138.207.246 has been assigned a threat score of 70/100 (High). 该IP被评为高级别威胁。网络管理员应实施阻止规则并监控来自此地址的任何连接。
The following attack categories were identified:
IP地址155.138.207.246已追溯至Atlanta, United States,运营在The Constant Company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57天的时间内,此IP产生了4次恶意请求,平均每天约0.1次请求。 被归类为托管IP,此地址可能运行在租用的服务器或云实例上。攻击者偏好数据中心IP因其高带宽和一次性特点。 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。 United States目前在我们的数据库中占23个被封锁IP,使其成为恶意流量的值得注意的来源。 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.
Request smuggling exploits differences in how front-end and back-end servers parse HTTP requests. This technique can bypass security controls, poison web caches, and hijack other users sessions by desynchronizing request boundaries.
Analyzing attack patterns at the AS (Autonomous System) level reveals which networks harbor the most malicious activity. Some ASes have abuse rates orders of magnitude higher than average, indicating lax enforcement of acceptable use policies.