ABUSE.MOM
THREAT REPORT

IP Threat Report
212.30.33.229

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 10:47:53
First seen: 2026-02-28 21:00:05
Last seen: 2026-04-22 10:00:04
90

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 90/100. Total malicious requests observed: 4.

BOT_UADANGER_PATHRATIO_404
01

Geolocation & Classification

IP Address
212.30.33.229
Type
Residential
Country
🇪🇸 Spain
City
Madrid
ISP
Datacamp Limited
Organization
Unknown
Autonomous System
AS212238 Datacamp Limited
Hit Count
4
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: pythonKnown bot/crawler User-Agent detected+40
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Danger medium hits: 1Medium-risk: admin panels, config files+10
Σ = 100
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

2026-02-28 21:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: python (+40), Danger strong hits: 1 (+25), 404 ratio >= 60% (+25)
2026-04-22 10:00:04
Last malicious request observed
Total score reached: 90/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Datacamp Limited
AS212238 · 🇪🇸 Spain
06

Recommendations

Actions taken & recommended

  • IP 212.30.33.229 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 212.30.33.0/24
  • 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 212.30.33.229: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🔎 Path Enumeration Protection

Block scanning from 212.30.33.229: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

07

Neighbors in 212.30.33.0/24

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

212.30.33.229 has been assigned a threat score of 90/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.

The following attack categories were identified:

User-Agent AnomalyPath Enumeration

📊 Threat Analysis

Threat intelligence analysis has linked 212.30.33.229 to malicious activity originating from Madrid, Spain, operating on the network of Datacamp Limited. The address has been under observation since its initial detection. The address has been active for 52 days in our monitoring system, producing 4 flagged requests at a rate of ~0.1/day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The dual attack vectors of User-Agent Anomaly combined with Path Enumeration indicate a coordinated assault rather than opportunistic scanning. Spain currently accounts for 151 blocked IPs in our database, making it a significant source of malicious traffic. A score of 90/100 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 Spain

158.173.36.160 (305)212.30.33.72 (305)45.67.99.32 (305)158.158.33.103 (280)158.158.105.51 (280)View all →

🏢 Same network: AS212238

212.30.33.72 (305)98.159.233.109 (305)45.91.23.64 (305)84.233.212.3 (295)98.159.233.211 (280)View all →
12

Security Intelligence

💡 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.

💡 Threat Score Calculation Methods

Threat scoring combines multiple signals — request patterns, known signatures, IP reputation, geographic risk, and behavioral analysis — into a single actionable metric. Weighted scoring models allow tuning sensitivity to balance security with usability.

🔍 Check Any IP Address

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