IP Threat Report
8.218.114.29
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA changed for same IP | Multiple User-Agents — bot rotation technique | +25 | |
| Burst: 7 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 11 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Foreign referer seen | Referer from unrelated external domain | +10 |
Observed Activity
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Timeline
Network Provider
Recommendations
Actions taken & recommended
- IP 8.218.114.29 is blocked at application level (HTTP 403)
- Consider blocking at firewall level (iptables/CSF) to reduce server load
- Report abuse to the network provider via their abuse contact
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
🤖 Bot Detection
Address UA spoofing from 8.218.114.29: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
🌊 Flood / DDoS Mitigation
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 8.218.114.29.
Open Ports & Services
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 |
| CVE ID | Link |
|---|---|
| CVE-2025-32728 | NVD → |
| CVE-2018-15473 | NVD → |
| CVE-2017-15906 | NVD → |
| CVE-2023-38408 | NVD → |
| CVE-2023-51767 | NVD → |
| CVE-2023-48795 | NVD → |
| CVE-2019-6110 | NVD → |
| CVE-2020-15778 | NVD → |
| CVE-2019-6111 | NVD → |
| CVE-2008-3844 | NVD → |
| CVE-2019-6109 | NVD → |
| CVE-2021-36368 | NVD → |
| CVE-2025-26465 | NVD → |
| CVE-2021-41617 | NVD → |
| CVE-2023-51385 | NVD → |
| CVE-2016-20012 | NVD → |
| CVE-2018-15919 | NVD → |
| CVE-2018-20685 | NVD → |
| CVE-2007-2768 | NVD → |
| CVE-2020-14145 | 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 This volume strongly suggests severely outdated software.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.
Blacklist Status (DNSBL)
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.
Threat Analysis
8.218.114.29 has been assigned a threat score of 105/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.
The following attack categories were identified:
📊 Threat Analysis
Our monitoring infrastructure has identified 8.218.114.29, geolocated to Hong Kong, Hong Kong, operating on the network of Alibaba (US) Technology Co., Ltd., as a source of suspicious network activity. Our sensors captured 2 malicious requests from this address across a 19-day span, reflecting a sustained attack cadence of ~0.1 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 Request Flooding), suggesting a semi-automated campaign that targets multiple vulnerabilities. Our records show 190 malicious IPs originating from Hong Kong, positioning it as a significant contributor to global threat activity. With a threat score of 105/100, 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.
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💡 TLS Fingerprinting (JA3/JA4)
TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.
💡 BGP Hijacking and IP Spoofing
Border Gateway Protocol hijacking allows attackers to redirect internet traffic through their infrastructure. While less common than application-level attacks, BGP hijacks can intercept sensitive data, inject malware, or cause widespread service disruption.