
ABUSE.MOM — 规矩点,否则你将被曝光
| 签名 | 描述 | 分数 | 严重性 |
|---|---|---|---|
| Danger medium hits: 4 | 中等风险:管理面板、配置文件 | +40 | |
| Probe pattern 302->404 same path | 自动分析检测到行为异常 | +20 | |
| 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 162.244.144.153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 |
|---|---|---|---|
| 8000 | Unknown | Low | Service on port 8000 |
| CVE ID | Link |
|---|---|
| CVE-2025-59362 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2026-33526 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2026-33515 | NVD → |
| CVE-2024-25111 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2026-32748 | NVD → |
🔴 此主机有30个已知CVE与其暴露的服务相关联。如此大量的漏洞强烈表明软件严重过时。 请在NVD数据库中查看每个CVE的详细信息。
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。
162.244.144.153 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:
威胁情报分析将162.244.144.153与来自Los Angeles, United States,运营在Sprious LLC, Blazing SEO, LLC的网络中的恶意活动相关联。该地址自首次检测以来一直处于观察状态。 在1天的时间内,此IP产生了1次恶意请求,平均每天约1次请求。 该地址被归类为住宅,意味着它可能属于终端用户ISP连接。来自住宅IP的恶意活动通常表明设备已被入侵或属于僵尸网络。 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。 United States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 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.
Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.
Deepfake audio and video enable convincing impersonation of executives and trusted individuals. Real-time voice cloning has been used in successful fraud campaigns, adding a new dimension to social engineering that traditional security training does not address.