
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 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Address UA spoofing from 8.222.132.246: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
IP 8.222.132.246 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
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 |
| 3128 | Unknown | Low | Service on port 3128 |
| CVE ID | Link |
|---|---|
| CVE-2023-49285 | NVD → |
| CVE-2020-15811 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2025-32728 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2018-15473 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2017-15906 | NVD → |
| CVE-2019-12528 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2023-38408 | NVD → |
| CVE-2023-51767 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2020-8450 | NVD → |
| CVE-2019-12529 | NVD → |
| CVE-2020-15049 | NVD → |
| CVE-2023-48795 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2019-6110 | NVD → |
🔴 Security scanning identified 76 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 This volume strongly suggests severely outdated software.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.
8.222.132.246 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:
IP address 8.222.132.246 has been traced to Singapore, Singapore, operating on the network of Alibaba (US) Technology Co., Ltd.. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per 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. Singapore currently accounts for 107 blocked IPs in our database, making it a significant source of malicious traffic. At 100/100, 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.
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.
Automated response systems can block threats in milliseconds, far faster than human analysts. However, automation requires careful safeguards — rate limits on blocking actions, automatic expiration, and human review queues prevent automated systems from causing self-inflicted outages.