
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA suspicious (short/empty) | Behavioral anomaly detected by automated analysis | +15 | |
| 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.
IP 8.219.87.97 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
Block scanning from 8.219.87.97: 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 |
| 1013 | Unknown | Low | Service on port 1013 |
| 1022 | Unknown | Low | Service on port 1022 |
| 1023 | Unknown | Low | Service on port 1023 |
| 1024 | Unknown | Low | Service on port 1024 |
| 1025 | Unknown | Low | Service on port 1025 |
| 1027 | Unknown | Low | Service on port 1027 |
| 1080 | Unknown | Low | Service on port 1080 |
| 1099 | Unknown | Low | Service on port 1099 |
| 1110 | Unknown | Low | Service on port 1110 |
| 1153 | Unknown | Low | Service on port 1153 |
| 1181 | Unknown | Low | Service on port 1181 |
| 1195 | Unknown | Low | Service on port 1195 |
| 1198 | Unknown | Low | Service on port 1198 |
| 1200 | Unknown | Low | Service on port 1200 |
| 1207 | Unknown | Low | Service on port 1207 |
| 1234 | Unknown | Low | Service on port 1234 |
| 1291 | Unknown | Low | Service on port 1291 |
| 1292 | Unknown | Low | Service on port 1292 |
| 1311 | Unknown | Low | Service on port 1311 |
| 1337 | Unknown | Low | Service on port 1337 |
| 1388 | Unknown | Low | Service on port 1388 |
| 1400 | Unknown | Low | Service on port 1400 |
| 1414 | Unknown | Low | Service on port 1414 |
| 1433 | MSSQL | High | Service on port 1433 |
| 1443 | Unknown | Low | Service on port 1443 |
| 1444 | Unknown | Low | Service on port 1444 |
| 1447 | Unknown | Low | Service on port 1447 |
| 1451 | Unknown | Low | Service on port 1451 |
| 1454 | Unknown | Low | Service on port 1454 |
| 1457 | Unknown | Low | Service on port 1457 |
| 1471 | Unknown | Low | Service on port 1471 |
| 1521 | Unknown | Low | Service on port 1521 |
| 1554 | Unknown | Low | Service on port 1554 |
| 1599 | Unknown | Low | Service on port 1599 |
| 1604 | Unknown | Low | Service on port 1604 |
| 1605 | Unknown | Low | Service on port 1605 |
| 1650 | Unknown | Low | Service on port 1650 |
| 1723 | PPTP | Low | Service on port 1723 |
| 1741 | Unknown | Low | Service on port 1741 |
| 1801 | Unknown | Low | Service on port 1801 |
| 1911 | Unknown | Low | Service on port 1911 |
| 1925 | Unknown | Low | Service on port 1925 |
| 1926 | Unknown | Low | Service on port 1926 |
| 1935 | Unknown | Low | Service on port 1935 |
| 1962 | Unknown | Low | Service on port 1962 |
| 1965 | Unknown | Low | Service on port 1965 |
| 1966 | Unknown | Low | Service on port 1966 |
| 1970 | Unknown | Low | Service on port 1970 |
| 3389 | RDP | High | Remote Desktop Protocol — primary target for ransomware attacks |
⚠️ Network scanning reveals 1 dangerous service exposed on 8.219.87.97. Exposed RDP (3389) is the #1 entry point for ransomware attacks. These services should not be publicly accessible without strict firewall rules.
| CVE ID | Link |
|---|---|
| CVE-2020-14145 | NVD → |
| CVE-2023-51767 | NVD → |
| CVE-2025-26465 | NVD → |
| CVE-2023-51385 | NVD → |
| CVE-2023-38408 | NVD → |
| CVE-2008-3844 | NVD → |
| CVE-2007-2768 | NVD → |
| CVE-2016-20012 | NVD → |
| CVE-2018-15473 | NVD → |
| CVE-2018-20685 | NVD → |
| CVE-2023-48795 | NVD → |
| CVE-2025-32728 | NVD → |
| CVE-2021-41617 | NVD → |
| CVE-2020-15778 | NVD → |
| CVE-2019-6109 | NVD → |
| CVE-2018-15919 | NVD → |
| CVE-2021-36368 | NVD → |
| CVE-2019-6111 | NVD → |
| CVE-2017-15906 | NVD → |
| CVE-2019-6110 | NVD → |
🔴 Security scanning identified 20 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.
8.219.87.97 has been assigned a threat score of 100/100 (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:
Our monitoring infrastructure has identified 8.219.87.97, geolocated to Singapore, Singapore, operating on the network of Alibaba (US) Technology Co., Ltd., as a source of suspicious network activity. The address has been active for 1 days in our monitoring system, producing 3 flagged requests at a rate of ~3/day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. Two attack patterns were identified (User-Agent Anomaly and Path Enumeration), suggesting a semi-automated campaign that targets multiple vulnerabilities. Our records show 107 malicious IPs originating from Singapore, positioning it as a significant contributor to global threat activity. With a threat score of 100/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.
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.
Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.
Standards like STIX/TAXII, MISP, and OpenIOC enable automated sharing of threat intelligence between organizations. Collective defense through shared indicators, tactics, and procedures strengthens the entire security community against common threats.