
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 3 | Medium-risk: admin panels, config files | +30 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Danger medium hits: 7 | Medium-risk: admin panels, config files | +60 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 167.160.70.160 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 4444 | Unknown | Low | Service on port 4444 |
| CVE ID | Link |
|---|---|
| CVE-2023-49288 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2024-25111 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2023-5824 | NVD → |
🔴 Security scanning identified 27 vulnerability entries on this host. This volume strongly suggests severely outdated software. Consult NVD advisories for details.
Data source: Shodan InternetDB. Scanned independently of abuse.mom.
This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.
Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.
167.160.70.160 has been assigned a threat score of 105/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
The following attack categories were identified:
IP address 167.160.70.160 has been traced to Los Angeles, United States, operating on the network of Sprious LLC. Our threat detection systems have flagged this address based on observed malicious behavior patterns. During its 17-day observation window, we recorded 2 hostile requests from this IP — roughly 0.1 per day on average. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. With 204 flagged addresses, United States represents a significant presence in our threat database. At 105/100, this is an extremely high-risk address. All traffic should be considered hostile.
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.
Vulnerability scanning is the automated process of probing web applications for known weaknesses. Attackers use tools like Nuclei, Nikto, and ZAP to test thousands of hosts per hour, looking for exposed configuration files, outdated software, and default credentials.
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.