
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 2 | High-risk paths: shells, RCE vectors, exploits | +50 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 162.247.237.27 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 |
|---|---|---|---|
| 6666 | Unknown | Low | Service on port 6666 |
| 7777 | Unknown | Low | Service on port 7777 |
| 8888 | HTTP-Alt | Low | Service on port 8888 |
| 9999 | Unknown | Low | Service on port 9999 |
| CVE ID | Link |
|---|---|
| CVE-2023-49285 | NVD → |
| CVE-2020-15811 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2019-12528 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2020-8450 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2019-12529 | NVD → |
| CVE-2016-4051 | NVD → |
| CVE-2020-15049 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2016-4553 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2018-19132 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2016-4054 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2016-10003 | NVD → |
🔴 This host has 67 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 This volume strongly suggests severely outdated software.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.
162.247.237.27 has been assigned a threat score of 85/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.
The following attack categories were identified:
162.247.237.27 is registered in Los Angeles, United States, operating on the network of eSited Solutions. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. During its 1-day observation window, we recorded 1 hostile requests from this IP — roughly 1 per day on average. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. With 112 flagged addresses, United States represents a significant presence in our threat database. A threat score of 85/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.
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.
SSRF attacks trick servers into making requests to internal resources that should not be publicly accessible. This can expose cloud metadata endpoints, internal APIs, and private network services, potentially leading to full infrastructure compromise.
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.