
ABUSE.MOM — 规矩点,否则你将被曝光
| 签名 | 描述 | 分数 | 严重性 |
|---|---|---|---|
| Burst: 7 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 | |
| Burst: 6 req / 2s | 请求频率异常——自动扫描 | +35 | |
| 404 ratio 40-60% | 大多数请求返回404——目录枚举 | +15 | |
| Imported from old blocklist | 自动分析检测到行为异常 | +0 |
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.
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84.254.106.197。
IP 84.254.106.197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。
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 |
|---|---|---|---|
| 7946 | Unknown | Low | Service on port 7946 |
| 8089 | Unknown | Low | Service on port 8089 |
| 32400 | Unknown | Low | Service on port 32400 |
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。
84.254.106.197 has been assigned a threat score of 60/100 (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:
我们的监控基础设施已将84.254.106.197(地理位置为Zurich, Switzerland,运营在iWay AG的网络中)识别为可疑网络活动的来源。 我们的传感器在1天内捕获了来自此地址的14次恶意请求,反映出每天约14次的持续攻击节奏。 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。 识别出两种攻击模式(Request Flooding和Path Enumeration),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Switzerland的102个恶意IP,使其成为全球威胁活动的重要贡献者。 评分60/100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 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.
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.
IP geolocation databases provide approximate locations with varying accuracy. City-level geolocation is typically 50-80% accurate, while country-level exceeds 95%. VPNs, proxies, and mobile networks further reduce reliability, making geolocation a useful but imperfect intelligence signal.