ABUSE.MOM
THREAT REPORT

IP Threat Report
212.30.36.97

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 07:30:06
First seen: 2026-02-23 17:00:05
Last seen: 2026-02-23 22:00:08
155

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 155/100. Total malicious requests observed: 2.

BOT_UADANGER_PATHREFERER
01

Geolocation & Classification

IP Address
212.30.36.97
Type
Residential
Country
🇩🇪 Germany
City
Nuremberg
ISP
GSL Networks Pty LTD
Organization
GSL Networks
Autonomous System
AS137409 GSL Networks Pty LTD
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: Go-http-clientKnown bot/crawler User-Agent detected+40
Danger strong hits: 3High-risk paths: shells, RCE vectors, exploits+75
Danger medium hits: 3Medium-risk: admin panels, config files+30
Foreign referer seenReferer from unrelated external domain+10
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Danger medium hits: 1Medium-risk: admin panels, config files+10
Σ = 190
03

Observed Activity

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

[redacted]
GET
/
200
Requests shown: 1 · HTTP 404: 0 · Dangerous patterns: 0

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

04

Timeline

2026-02-23 17:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: Go-http-client (+40), Danger strong hits: 3 (+75), Danger medium hits: 3 (+30)
2026-02-23 22:00:08
Last malicious request observed
Total score reached: 155/100
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 212.30.36.97 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

🤖 Bot Detection

Address UA spoofing from 212.30.36.97: 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.

⛔ LISTED
Spamhaus ZEN

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

10

Threat Analysis

212.30.36.97 has been assigned a threat score of 155/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

IP address 212.30.36.97 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. Over a period of 1 days, this IP generated 2 malicious requests, averaging approximately 2 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. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. Our records show 151 malicious IPs originating from Germany, positioning it as a significant contributor to global threat activity. A score of 155/100 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.

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

💡 HTTP Header Analysis for Threat Detection

Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.

💡 User-Agent Analysis Techniques

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.

🔍 Check Any IP Address

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