
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 2 | Medium-risk: admin panels, config files | +20 | |
| 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 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 |
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 209.59.231.229: 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 |
|---|---|---|---|
| 4444 | Unknown | Low | Service on port 4444 |
| 8000 | Unknown | Low | Service on port 8000 |
| CVE ID | Link |
|---|---|
| CVE-2023-46847 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2026-32748 | NVD → |
| CVE-2025-59362 | NVD → |
🔴 Security scanning identified 28 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 This volume strongly suggests severely outdated software.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.
209.59.231.229 has been assigned a threat score of 105/100 (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:
Threat intelligence analysis has linked 209.59.231.229 to malicious activity originating from Los Angeles, United States, operating on the network of Sprious LLC. The address has been under observation since its initial detection. The address has been active for 38 days in our monitoring system, producing 2 flagged requests at a rate of ~0.1/day. 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. United States currently accounts for 205 blocked IPs in our database, making it a significant source of malicious traffic. 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.
Modern attacks increasingly target APIs rather than traditional web interfaces. Attackers enumerate endpoints, test for broken authentication, and exploit excessive data exposure. API attacks are harder to detect as they mimic legitimate programmatic access patterns.
False positives erode trust in security systems and waste analyst resources. Effective management requires feedback loops, allowlisting mechanisms, contextual analysis, and regular tuning of detection rules based on operational experience.