IP Threat Report
43.163.95.43
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 3 | High-risk paths: shells, RCE vectors, exploits | +75 | |
| Burst: 5 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| POST requests present | Behavioral anomaly detected by automated analysis | +8 |
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 43.163.95.43 is blocked at application level (HTTP 403)
- Consider blocking at firewall level (iptables/CSF) to reduce server load
- Other malicious IPs detected in the same /24 subnet — consider blocking 43.163.95.0/24
- Report abuse to the network provider via their abuse contact
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
🌊 Flood / DDoS Mitigation
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 43.163.95.43.
Neighbors in 43.163.95.0/24
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
Open Ports & Services
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| CVE ID | Link |
|---|---|
| CVE-2023-44487 | NVD → |
| CVE-2021-3618 | NVD → |
| CVE-2025-23419 | NVD → |
| CVE-2019-9511 | NVD → |
| CVE-2019-20372 | NVD → |
| CVE-2019-9513 | NVD → |
| CVE-2019-9516 | NVD → |
| CVE-2021-23017 | NVD → |
🔴 This host has 8 known CVEs associated with its exposed services. Multiple vulnerabilities suggest gaps in patch management. Review each CVE in the NVD database.
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
43.163.95.43 has been assigned a threat score of 128/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.
The following attack categories were identified:
📊 Threat Analysis
43.163.95.43 is registered in Singapore, Singapore, operating on the network of Shenzhen Tencent Computer Systems Company Limited. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/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. Rate-based attacks from this IP aim to overwhelm server resources through high-volume request flooding. Singapore currently accounts for 42 blocked IPs in our database, making it a notable source of malicious traffic. A score of 128/100 places this address in the top tier of severity. Block and investigate any historical connections.
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.
Related Threats
🇸🇬 Top threats from Singapore
43.153.215.90 (243)43.128.88.177 (183)43.134.224.128 (145)43.156.19.217 (143)43.134.11.12 (128)View all →Security Intelligence
💡 Brute Force Attack Mechanics
Brute force attacks systematically try username and password combinations to gain unauthorized access. Modern attacks leverage credential databases from previous breaches, testing millions of combinations using distributed botnets across multiple IP addresses.
💡 Cryptojacking Detection and Prevention
Cryptojacking hijacks computing resources to mine cryptocurrency without consent. Indicators include unusual CPU usage, specific network connections to mining pools, and JavaScript miners embedded in compromised websites. Server-side cryptojacking can persist undetected for months.