IP Threat Report
20.239.48.157
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| 404 ratio >= 60% | Majority of requests returned 404 — enumeration | +25 | |
| Burst 13/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 14/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 41/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 44/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 45/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 46/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 47/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 48/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 49/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 50/10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 156 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 183 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 185 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 186 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 278 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 82 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 84 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 85 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 107 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 109 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 28 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 39 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 40 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 58 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 60 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 69 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 79 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Probe 302→404 | Behavioral anomaly detected by automated analysis | +20 | |
| UA suspicious | Behavioral anomaly detected by automated analysis | +15 |
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 20.239.48.157 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 20.239.48.0/24
- Report abuse to the network provider via their abuse contact
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
🔎 Directory Scan Defense
IP 20.239.48.157 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
🌊 Traffic Flood Defense
IP 20.239.48.157 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
🤖 User-Agent Anomaly Defense
IP 20.239.48.157 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
Neighbors in 20.239.48.0/24
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
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
20.239.48.157 has been assigned a threat score of 280/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.
The following attack categories were identified:
📊 Threat Analysis
Network traffic from 20.239.48.157, located in Hong Kong, Hong Kong, operating on the network of Microsoft Corporation, has been classified as malicious by our automated threat scoring engine. During its 3-day observation window, we recorded 2,434 hostile requests from this IP — roughly 811.3 per day on average. Operating from datacenter infrastructure, this IP is typical of addresses used in organized attack operations. Cloud and VPS providers are commonly exploited as launching platforms for automated scanning. The combination of 3 distinct attack vectors indicates a sophisticated, multi-pronged threat actor deploying automated tools that probe multiple attack surfaces simultaneously. With 102 flagged addresses, Hong Kong represents a significant presence in our threat database. A score of 280/100 places this address in the top tier of severity. Block and investigate any historical connections.
This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.
Related Threats
Security Intelligence
💡 DDoS Mitigation Approaches
Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.
💡 Web Application Firewall Strategies
WAFs inspect HTTP traffic to block common attacks but require careful tuning. Overly aggressive rules cause false positives while permissive configurations miss attacks. Modern WAFs combine signature matching with behavioral analysis and machine learning.