Summary
This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is tesim-enicbc.eu.
Submitted URL: https://tesim-enicbc.eu/boots_store/
AI Security Verdict
High Risk
Confidence: 78%
Impersonates Boots on an unranked, unknown‑age domain; likely a fraudulent store – avoid and report.
Risk Factors
Details
Primary Scan Blocked — Fallback Capture Shown
The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.
Page Title
Beauty | Health | Pharmacy and Prescriptions - Boots
Scan Type
public
Language
English
Category
healthcare medical
(74%)Domain Information
The domain 'tesim-enicbc.eu' uses the .eu country-code top-level domain and has no subdomain. Its registrable label 'tesim-enicbc' stretches across 12 characters with 4 vowels and seven consonants, along with one hyphen. Segmentation suggests four words: te, sim, eni, cbc. Median word length is three characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 59 | 149.202.163.90 | France | AS16276OVH SAS |
| 59 | 1 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data