
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 10 | 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 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Danger medium hits: 6 | 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.
Block scanning from 152.89.128.187: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
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 |
|---|---|---|---|
| 3128 | Unknown | Low | Service on port 3128 |
| 8080 | HTTP-Alt | Low | HTTP alternative port — often used for admin panels or proxies |
| 8800 | Unknown | Low | Service on port 8800 |
| 21242 | Unknown | Low | Service on port 21242 |
| 52931 | Unknown | Low | Service on port 52931 |
| 52951 | Unknown | Low | Service on port 52951 |
| CVE ID | Link |
|---|---|
| CVE-2019-12519 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2019-12523 | NVD → |
| CVE-2016-4554 | NVD → |
| CVE-2018-19132 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2018-19131 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2019-12529 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2020-25097 | NVD → |
| CVE-2015-5400 | NVD → |
| CVE-2019-18860 | NVD → |
| CVE-2020-8517 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2019-12522 | NVD → |
| CVE-2016-3947 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2024-37894 | NVD → |
🔴 This host has 56 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 This volume strongly suggests severely outdated software.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.
152.89.128.187 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:
The address 152.89.128.187 originates from London, United Kingdom, operating on the network of XT GLOBAL NETWORKS LTD.. It was identified through automated analysis of incoming network traffic across monitored endpoints. Our sensors captured 4 malicious requests from this address across a 21-day span, reflecting a sustained attack cadence of ~0.2 requests per day. 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 30 flagged addresses, United Kingdom represents a notable presence in our threat database. With a threat score of 105/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly 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.
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.
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.