Security Scan Report: labiblioteka.co

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Submitted: Oct 6, 2026, 10:31:44 PMCompleted: Oct 6, 2026, 10:32:42 PMpubliccompleted

This website contacted 20 IPs in 2 countries across 15 domains to perform 184 HTTP transactions. The main domain is labiblioteka.co and was registered 21 years ago.

Submitted URL: https://labiblioteka.co/shop/vogue-france-march-2023/?srsltid=AU7gw4V0DeOxqnFe-gm5Xz_TBViLeUB1zHtWRZ34xpodDaIwcx3GJKKI

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate long-established online bookshop selling a Vogue France magazine. No phishing, malware, or impersonation indicators found.

Safety Factors (5)
Domain age over 11 years with physical address and legal information
Self-branding matches the domain rather than impersonating another entity
No credential-harvesting or payment forms on the scanned page
No threat intelligence, YARA, IDS, or obfuscated JavaScript findings
Uses standard WooCommerce/WordPress e-commerce structure
Domain age information unavailable

Details

Page Title

Vogue France, March 2023 – La Biblioteka

Scan Type

public

Domain Name Analysis

Within the Colombian country-code top-level domain (.co), 'labiblioteka.co' is registered and has no subdomain. Count 12 characters in 'labiblioteka' split between 6 vowels and six consonants. Tokenizing the label suggests 5 words: la, bib, li, otek, a. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://labiblioteka.co/shop/vogue-france-march-2023/?srsltid=AU7gw4V0DeOxqnFe-gm5Xz_TBViLeUB1zHtWRZ34xpodDaIwcx3GJKKI

Page Load Overview

0.34s
Total Load Time
2.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-GB
Text Length:1,911 chars
Detector Agreement:75%

Website Classification

Primary Category

documentation technical49% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
49%
healthcare medical
41%
news media journalism
40%
corporate
35%
cryptocurrency blockchain
32%

Detected Features

Search
Products
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1392.113.16.118Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
9142.251.110.95Google · CDNUnited States
AS15169Google LLC
9142.251.14.94Google · CDNUnited States
AS15169Google LLC
992.113.16.139Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
9142.251.14.95Google · CDNUnited States
AS15169Google LLC
992.113.23.154Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
9192.178.183.94Google · CDNUnited States
AS15169Google LLC
9192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
9192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
9142.251.14.97Google · CDNUnited States
AS15169Google LLC
18420--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130C1F9EDB982B0BC632359E198AF7199721AEE06AA0DC054F551D5D07CB4F89C237F1C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Tm4m3L2s6bu1JViZvyDTAgi+49F59vsd+OtJudcMX0+N:6BP6u1owTq+OF5adD2dDX0w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5790:EECIABFAYQCAFUTggECpFIAuYAAABJEAEiAAAFBRCwCoNDpCQIw6HQAwICHhAAJEQAIBIh1lhCAAEARggkIAAKkAyBGAQikI

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:ffffffe7c3ffffff
Perceptual Hash:b38ccc3333cccc33
Difference Hash:0000000c0c000000
Wavelet Hash:fcfcfce4003c0c0c
Color Hash:#785b3a

Other Hashes

Crop Resistant:0000000c0c000000

Scan History

Scan history not available

Unable to load historical scan data