ABUSE.MOM
THREAT REPORT

IP Threat Report
212.30.36.138

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 10:06:27
First seen: 2026-02-18 19:00:04
Last seen: 2026-05-24 10:19:25
230

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 230/100. Total malicious requests observed: 594.

BOT_UABURSTDANGER_PATHRATIO_404REFERERUA_CHANGED
01

Geolocation & Classification

IP Address
212.30.36.138
Type
Residential
Country
🇩🇪 Germany
City
Nuremberg
ISP
GSL Networks Pty LTD
Organization
GSL Networks
Autonomous System
AS137409 GSL Networks Pty LTD
Hit Count
594
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Burst: 6 req / 2sAbnormally fast request rate — automated scanning+35
Danger medium hits: 1Medium-risk: admin panels, config files+10
Danger medium hits: 2Medium-risk: admin panels, config files+20
Danger medium hits: 3Medium-risk: admin panels, config files+30
Danger medium hits: 4Medium-risk: admin panels, config files+40
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Danger strong hits: 3High-risk paths: shells, RCE vectors, exploits+75
Danger strong hits: 6High-risk paths: shells, RCE vectors, exploits+100
Foreign refererReferer from unrelated external domain+10
Foreign referer seenReferer from unrelated external domain+10
UA bot: Go-http-clientKnown bot/crawler User-Agent detected+40
UA changedMultiple User-Agents — bot rotation technique+25
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Σ = 510
03

Observed Activity

Reconstructed HTTP requests from server access logs. Target domains redacted for security.

[redacted]
GET
/
200
[redacted]
GET
/page
200
Requests shown: 2 · HTTP 404: 0 · Dangerous patterns: 0

* Typical request patterns for detected signatures. Actual target domains are redacted.

04

Timeline

2026-02-18 19:00:04
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), 404 ratio >= 60% (+25), Burst: 6 req / 2s (+35)
2026-05-24 10:19:25
Last malicious request observed
Total score reached: 230/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

GSL Networks Pty LTD
AS137409 · 🇩🇪 Germany
06

Recommendations

Actions taken & recommended

  • IP 212.30.36.138 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 212.30.36.0/24
  • 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 212.30.36.138 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

🌊 Traffic Flood Defense

IP 212.30.36.138 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

🤖 Bot Detection

Address UA spoofing from 212.30.36.138: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

07

Neighbors in 212.30.36.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
bl.spamcop.net
✓ Clean
bl.blocklist.de
✓ Clean
b.barracudacentral.org
✓ Clean
psbl.surriel.com
✓ Clean
cbl.abuseat.org
✓ Clean
zen.spamhaus.org
✓ Clean
dnsbl.dronebl.org

Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.

10

Threat Analysis

212.30.36.138 has been assigned a threat score of 230/100 (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:

Path EnumerationRequest FloodingUser-Agent Anomaly

📊 Threat Analysis

IP address 212.30.36.138 has been traced to Nuremberg, Germany, operating on the network of GSL Networks Pty LTD. Our threat detection systems have flagged this address based on observed malicious behavior patterns. During its 94-day observation window, we recorded 594 hostile requests from this IP — roughly 6.3 per day on average. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. The combination of 3 distinct attack vectors indicates a sophisticated, multi-pronged threat actor deploying automated tools that probe multiple attack surfaces simultaneously. Our records show 151 malicious IPs originating from Germany, positioning it as a significant contributor to global threat activity. At 230/100, 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.

11

Related Threats

🇩🇪 Top threats from Germany

15.220.152.241 (320)77.81.65.244 (313)185.168.29.98 (313)91.217.249.222 (305)212.30.36.219 (305)View all →

🏢 Same network: AS137409

85.203.23.12 (340)85.203.23.31 (330)85.203.23.172 (305)85.203.23.29 (305)85.203.23.142 (305)View all →
12

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.

💡 Autonomous System Analysis

Analyzing attack patterns at the AS (Autonomous System) level reveals which networks harbor the most malicious activity. Some ASes have abuse rates orders of magnitude higher than average, indicating lax enforcement of acceptable use policies.

🔍 Check Any IP Address

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