
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 4 | Medium-risk: admin panels, config files | +40 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +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 23.229.16.102: 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 |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| 1344 | Unknown | Low | Service on port 1344 |
| 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 |
| CVE ID | Link |
|---|---|
| CVE-2020-14058 | NVD → |
| CVE-2020-15049 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2016-10003 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2019-12521 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2019-18679 | NVD → |
| CVE-2019-12525 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2019-12520 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2018-19132 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2021-28652 | NVD → |
🔴 Security scanning identified 56 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 This volume strongly suggests severely outdated software.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.
23.229.16.102 has been assigned a threat score of 70/100 (High). At this threat level, the IP is considered high risk. Firewall rules should be updated to deny traffic from this source.
The following attack categories were identified:
Threat intelligence analysis has linked 23.229.16.102 to malicious activity originating from Buffalo, United States, operating on the network of B2 Net Solutions Inc.. The address has been under observation since its initial detection. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/day. This address belongs to a datacenter or cloud hosting provider. Hosting IPs are frequently leveraged by threat actors who rent cheap VPS instances specifically for conducting attacks. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. With 187 flagged addresses, United States represents a significant presence in our threat database. At 70/100, this IP warrants immediate defensive action.
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.
RCE vulnerabilities allow attackers to execute arbitrary code on target servers. These critical flaws often arise from deserialization bugs, template injection, or file upload vulnerabilities, and represent the highest severity class of web application weaknesses.
Signature-based detection matches known attack patterns but misses novel threats. Behavioral analysis identifies anomalies in request patterns, timing, and volume, catching zero-day attacks that signatures cannot recognize.