
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 2 | High-risk paths: shells, RCE vectors, exploits | +50 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Imported from old blocklist | Behavioral anomaly detected by automated analysis | +0 |
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 172.80.51.91: 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 |
| 6666 | Unknown | Low | Service on port 6666 |
| 7777 | Unknown | Low | Service on port 7777 |
| 8888 | HTTP-Alt | Low | Service on port 8888 |
| 9999 | Unknown | Low | Service on port 9999 |
| 54022 | Unknown | Low | Service on port 54022 |
| CVE ID | Link |
|---|---|
| CVE-2025-54574 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2019-12523 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2016-10002 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2020-14058 | NVD → |
| CVE-2016-4554 | NVD → |
| CVE-2016-3947 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2016-4553 | NVD → |
| CVE-2020-8517 | NVD → |
| CVE-2016-4555 | NVD → |
| CVE-2019-12520 | NVD → |
| CVE-2019-18679 | NVD → |
| CVE-2018-19131 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2019-12528 | NVD → |
| CVE-2025-62168 | NVD → |
🔴 Security scanning identified 67 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 This volume strongly suggests severely outdated software.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.
172.80.51.91 has been assigned a threat score of 85/100 (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 172.80.51.91 to malicious activity originating from Los Angeles, United States, operating on the network of eSited Solutions. The address has been under observation since its initial detection. The address has been active for 1 days in our monitoring system, producing 3 flagged requests at a rate of ~3/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. Our records show 112 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. The score of 85/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.
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.
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.
Honeypots are decoy systems designed to attract and study attackers. Networks of honeypots provide early warning of new attack campaigns, reveal attacker tools and techniques, and generate high-confidence threat intelligence with minimal false positives.