IP威胁报告
158.62.211.128
ABUSE.MOM — 规矩点，否则你将被曝光
地理位置与分类
检测签名
| 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: 5 | 中等风险：管理面板、配置文件 | +50 | |
| 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 |
观察到的活动
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.
时间线
网络供应商
建议
已采取和建议的措施
- IP 158.62.211.128 已在应用层封锁（HTTP 403）
- 建议在防火墙层（iptables/CSF）进行封锁
- 通过abuse联系方式向网络供应商举报
- 确保敏感文件（.env、.git、备份）无法从网络访问
🔎 目录扫描防御
IP 158.62.211.128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。
黑名单状态 (DNSBL)
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。
Threat Analysis
158.62.211.128 has been assigned a threat score of 95/100 (Critical). 这代表着极高风险等级。我们的检测系统已从该地址标记出多个高置信度的恶意意图指标。
The following attack categories were identified:
📊 Threat Analysis
158.62.211.128注册在San Jose, United States，运营在Charter Communications Inc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。 在其1天的观察窗口期间，我们记录了来自此IP的74次敌对请求——平均每天约74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。 该IP表现出目录枚举行为，系统地请求不存在的路径以发现隐藏文件和配置错误的资源。 我们的记录显示来自United States的123个恶意IP，使其成为全球威胁活动的重要贡献者。 威胁评分95/100，此IP属于我们数据库中最危险的地址之一。强烈建议立即完全封锁。
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.
Related Threats
🇺🇸 Top threats from United States
104.28.246.115 (350)104.28.214.122 (350)103.168.66.237 (340)34.187.158.4 (340)34.186.187.208 (340)View all →Security Intelligence
💡 Prototype Pollution Attacks
Prototype pollution manipulates JavaScript object prototypes to inject properties that affect all objects in an application. This can lead to denial of service, property injection, and in some cases remote code execution in Node.js applications.
💡 Rate Limiting and Throttling Strategies
Effective rate limiting must balance protection against abuse with allowing legitimate traffic bursts. Sliding window algorithms, token buckets, and adaptive thresholds based on client reputation provide layered defense against flooding attacks.