
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 1 | High-risk paths: shells, RCE vectors, exploits | +25 | |
| Danger medium hits: 1 | Medium-risk: admin panels, config files | +10 | |
| 404 ratio >= 60% | Majority of requests returned 404 — enumeration | +25 | |
| POST requests present | Behavioral anomaly detected by automated analysis | +8 | |
| Danger strong hits: 3 | High-risk paths: shells, RCE vectors, exploits | +75 | |
| Danger medium hits: 2 | Medium-risk: admin panels, config files | +20 | |
| Foreign referer seen | Referer from unrelated external domain | +10 |
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 51.158.55.141: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 22 | SSH | Low | Secure Shell — common brute force target for remote access |
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| CVE ID | Link |
|---|---|
| CVE-2024-42516 | NVD → |
| CVE-2024-24795 | NVD → |
| CVE-2013-0942 | NVD → |
| CVE-2024-38472 | NVD → |
| CVE-2025-58098 | NVD → |
| CVE-2024-38474 | NVD → |
| CVE-2024-43204 | NVD → |
| CVE-2013-4365 | NVD → |
| CVE-2024-39573 | NVD → |
| CVE-2024-38473 | NVD → |
| CVE-2024-38476 | NVD → |
| CVE-2013-2765 | NVD → |
| CVE-2025-49630 | NVD → |
| CVE-2024-47252 | NVD → |
| CVE-2007-4723 | NVD → |
| CVE-2025-53020 | NVD → |
| CVE-2025-49812 | NVD → |
| CVE-2024-36387 | NVD → |
| CVE-2024-40898 | NVD → |
| CVE-2011-1176 | NVD → |
| CVE-2025-55753 | NVD → |
| CVE-2024-38477 | NVD → |
| CVE-2024-27316 | NVD → |
| CVE-2009-2299 | NVD → |
| CVE-2025-65082 | NVD → |
🔴 This host has 37 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 This volume strongly suggests severely outdated software.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.
51.158.55.141 has been assigned a threat score of 113/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.
The following attack categories were identified:
51.158.55.141 is registered in Paris, France, operating on the network of SCALEWAY. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 2 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~2 requests per day. Operating from datacenter infrastructure, this IP is typical of addresses used in organized attack operations. Cloud and VPS providers are commonly exploited as launching platforms for automated scanning. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. France currently accounts for 119 blocked IPs in our database, making it a significant source of malicious traffic. With a threat score of 113/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.
This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.
Brute force attacks systematically try username and password combinations to gain unauthorized access. Modern attacks leverage credential databases from previous breaches, testing millions of combinations using distributed botnets across multiple IP addresses.
Artificial intelligence enables more convincing phishing content, faster vulnerability discovery, and adaptive attack strategies that learn from defensive responses. AI-generated social engineering and automated exploit development represent growing threats.