Security Scan Report: www.mollat.com

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Submitted: Completed: publiccompleted
This website contacted 38 IPs in 4 countries across 25 domains to perform 290 HTTP transactions. The main domain is mollat.com and was registered 29 years ago.

Submitted URL: https://www.mollat.com

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Genuine Librairie Mollat Bordeaux bookstore site on its own 29-year-old domain. Self-branded, same-origin login only, no impersonation, no Indicators of Compromise or malware signals.

Risk Factors (2)
Own-brand account login form present (normal for an e-commerce bookstore, low significance)
Domain is unranked in Cisco Umbrella, which carries no weight against an established 29-year-old bookseller domain
Safety Factors (5)
Domain age 10,867 days — well-established registrant
Self-branding confirmed: page brand matches its own domain, no third-party brand impersonation
No credential or payment harvesting to external destinations; same-origin form actions only
No threat-intelligence, hunting rule, kit-roster or IDS malware/phishing evidence
Legitimate retail content (book catalog, newsletters, events) with visible physical address
Domain age information unavailable

Details

Page Title

Librairie Mollat Bordeaux - Librairie en ligne

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'www.mollat.com' is registered; it also runs on subdomain 'www'. Its registrable label 'mollat' stretches across 6 characters with 2 vowels and four consonants. Splitting it apart reveals 2 words: moll, at. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

MENU 290DS6 mollat LIBRAIRIE EVENEMENTS ALAUNE AG ©, | rechercheruniivre, auteur, collection. [Nosrivers] ‘Nos encontres Nos choix Mon Panier uolioas LIBRAIRIE EN LIGNE ET A BORDEAUX DEPUIS 1896...

Page Load Overview

6.49s
Total Load Time
6.6 MB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:fr
Text Length:36,855 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website47% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

blog personal website
47%
technology software
45%
entertainment media
36%
government public service
28%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3140.118.100.127Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
7104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.251.110.95Google · CDNUnited States
AS15169Google LLC
7194.50.38.73France
AS39534Lyra Network SAS
734.96.113.31Google · CDNKansas City, Missouri, United States
AS396982Google LLC
7142.251.14.95Google · CDNUnited States
AS15169Google LLC
7104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
757.150.167.193Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
735.190.14.238Google · CDNKansas City, Missouri, United States
AS396982Google LLC
7142.251.14.113Google · CDNUnited States
AS15169Google LLC
29038--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11CD4833194F0152742A7C6C0A6B46B5FAF83E643CE1B4890BABD47E56FD3D62DE47208

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KKYGOB8kLqy3QXvpdpkgy5+FuozNuOqwfuMv1eghMErD8H:KKYGOVqwgy5+YozfqouMvkghMErD6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:635776:DiCFAkDakqUElAEMIgNR6AqkJJh9CGBHttgDDUUSuCvxAWisUQGARUiFgLAKAGiCkwkAB0SIQQRUKgUA9CUBCyADGUCAgiAF

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

Average Hash:0000000000ffffff
Perceptual Hash:ee34c1944bb7cc2c
Difference Hash:a61b332b33656d41
Wavelet Hash:7201010101ffffff
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data