
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 6 | Medium-risk: admin panels, config files | +60 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Burst: 6 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Burst: 5 req / 2s | Abnormally fast request rate — automated scanning | +35 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 107.172.85.199 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
IP 107.172.85.199 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
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 |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| 3128 | Unknown | Low | Service on port 3128 |
| 8000 | Unknown | Low | Service on port 8000 |
| 8080 | HTTP-Alt | Low | HTTP alternative port — often used for admin panels or proxies |
| 8800 | Unknown | Low | Service on port 8800 |
| 52931 | Unknown | Low | Service on port 52931 |
| 52951 | Unknown | Low | Service on port 52951 |
| CVE ID | Link |
|---|---|
| CVE-2026-33515 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2018-19131 | NVD → |
| CVE-2020-15049 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2019-12522 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2019-12520 | NVD → |
| CVE-2019-12519 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2019-12523 | NVD → |
| CVE-2020-25097 | NVD → |
| CVE-2018-1000024 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2019-12521 | NVD → |
| CVE-2020-8517 | NVD → |
| CVE-2016-10003 | NVD → |
| CVE-2016-10002 | NVD → |
| CVE-2018-1000027 | NVD → |
| CVE-2025-59362 | NVD → |
🔴 This host has 59 known CVEs associated with its exposed services. This volume strongly suggests severely outdated software. Review each CVE in the NVD database.
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.
107.172.85.199 has been assigned a threat score of 140/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.
The following attack categories were identified:
The address 107.172.85.199 originates from Buffalo, United States, operating on the network of HostPapa. It was identified through automated analysis of incoming network traffic across monitored endpoints. Over a period of 13 days, this IP generated 2 malicious requests, averaging approximately 0.2 requests per day. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. The dual attack vectors of Path Enumeration combined with Request Flooding indicate a coordinated assault rather than opportunistic scanning. United States currently accounts for 200 blocked IPs in our database, making it a significant source of malicious traffic. A score of 140/100 places this address in the top tier of severity. Block and investigate any historical connections.
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.
Blocking traffic from specific countries reduces attack surface but impacts legitimate international users. Effective geo-based policies use tiered approaches — blocking, rate limiting, or requiring additional verification based on risk assessment.