
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.
IP 196.51.135.172 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 |
|---|---|---|---|
| 3128 | Unknown | Low | Service on port 3128 |
| 8080 | HTTP-Alt | Low | HTTP alternative port — often used for admin panels or proxies |
| CVE ID | Link |
|---|---|
| CVE-2019-12529 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2019-12525 | NVD → |
| CVE-2020-14058 | NVD → |
| CVE-2020-15811 | NVD → |
| CVE-2026-32748 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2018-1000027 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2018-1000024 | NVD → |
| CVE-2026-33515 | NVD → |
| CVE-2018-19132 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2019-18678 | NVD → |
| CVE-2020-25097 | NVD → |
| CVE-2025-59362 | NVD → |
🔴 Security scanning identified 59 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 This volume strongly suggests severely outdated software.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.
196.51.135.172 has been assigned a threat score of 70/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.
The following attack categories were identified:
Threat intelligence analysis has linked 196.51.135.172 to malicious activity originating from Providence, United States, operating on the network of DynaNode LLC. The address has been under observation since its initial detection. During its 1-day observation window, we recorded 1 hostile requests from this IP — roughly 1 per day on average. The IP is classified as hosting/datacenter infrastructure, commonly associated with rented servers used for automated attack campaigns, botnet command-and-control, or vulnerability scanning at scale. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. Our records show 198 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. The score of 70/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.
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.
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.
Digital forensics preserves and analyzes electronic evidence following attacks. Proper chain of custody, forensic imaging, timeline reconstruction, and artifact analysis are essential for understanding attack scope, attribution, and preventing recurrence.