
ABUSE.MOM — 规矩点,否则你将被曝光
| 签名 | 描述 | 分数 | 严重性 |
|---|---|---|---|
| Probe pattern 302->404 same path | 自动分析检测到行为异常 | +20 | |
| Burst: 5 req / 2s | 请求频率异常——自动扫描 | +35 | |
| Foreign referer seen | 来自无关外部域名的Referer | +10 |
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 92.204.174.93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。
在nginx中实施limit_req_zone。部署具有DDoS防护的CDN。配置SYN cookies和连接跟踪以限制92.204.174.93。
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 |
|---|---|---|---|
| 443 | HTTPS | Low | HTTPS web server — encrypted web traffic |
| 1337 | Unknown | Low | Service on port 1337 |
| 8080 | HTTP-Alt | Low | HTTP alternative port — often used for admin panels or proxies |
| 8081 | Unknown | Low | Service on port 8081 |
| 8443 | HTTPS-Alt | Low | Service on port 8443 |
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。
92.204.174.93 has been assigned a threat score of 65/100 (High). 此分数表明高威胁严重性。该IP显示出明确的恶意行为模式,需要立即采取防御措施。
The following attack categories were identified:
地址92.204.174.93来源于Strasbourg, France,运营在velia.net Internetdienste GmbH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。 在其1天的观察窗口期间,我们记录了来自此IP的1次敌对请求——平均每天约1次。 此IP被识别为VPN或代理端点,通常用于掩盖攻击流量的真实来源并绕过地理或信誉封锁。 识别出两种攻击模式(Path Enumeration和Request Flooding),表明这是一个针对多个漏洞的半自动化攻击活动。 France目前在我们的数据库中占201个被封锁IP,使其成为恶意流量的重要来源。 评分65/100需要主动监控和速率限制。建议对敏感系统进行完全封锁。
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.
Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.
Automated response systems can block threats in milliseconds, far faster than human analysts. However, automation requires careful safeguards — rate limits on blocking actions, automatic expiration, and human review queues prevent automated systems from causing self-inflicted outages.