Summary
This website contacted 15 IPs in 3 countries across 17 domains to perform 1 HTTP transaction. The main domain is mollat.com and was registered NaN years ago.
Submitted URL: https://mollat.com
AI Security Verdict
Safe Website
Confidence: 94%
Legitimate bookstore site with standard login; no phishing or scam indicators.
Safety Factors
Details
Page Title
Librairie Mollat Bordeaux - Librairie en ligne
Scan Type
public
Language
French
Category
news media journalism
(78%)Domain Information
Domain 'mollat.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 6 characters in 'mollat' holding 2 vowels versus 4 consonants. It segments into 2 words: moll, at. 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 |
|---|---|---|---|
| 31 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 18 | 35.190.14.238 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 18 | 40.118.100.127 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 18 | 20.160.139.79 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 18 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 18 | 57.150.167.193 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 18 | 142.251.140.163 | United States | AS15169GOOGLE |
| 18 | 3.160.150.117 | Unknown | Unknown |
| 18 | 142.250.201.74 | United States | AS15169GOOGLE |
| 18 | 2.18.64.209 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 283 | 15 | - | - |
Detected Technologies2
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
Scan History
Scan history not available
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