Security Scan Report: bonniershop.nu

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Submitted: Completed: publiccompleted
This website contacted 17 IPs in 2 countries across 13 domains to perform 58 HTTP transactions. The main domain is bonniershop.nu and was registered 20 years ago.

Submitted URL: https://bonniershop.nu/spinoff/historia-arsbok-2026-389860-cir-hab/?media=KM&utm_source=crm&utm_medium=email&utm_content=1084910_6010

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Established 20-year-old publisher domain selling a history yearbook; self-branded as its own brand, no forms, no credential/payment capture, no Indicators of Compromise, malware, or IDS hits. Legitimate.

Safety Factors (5)
Established 20-year-old domain with matching self-branding (Bonnier Publications AS / Bonniershop)
No credential or payment collection on this page; payment is redirected to a secure checkout
No Indicators of Compromise, no YARA malware, no IDS alerts, no obfuscated malicious script sinks
Clear business identity, subscription terms, customer service phone number and postal address
Third-party scripts are predominantly top-1M ranked sources
Domain age information unavailable

Details

Page Title

Historia Årsbok 2026 | Bonniershop

Scan Type

public

Domain Name Analysis

The domain 'bonniershop.nu' uses the .nu country-code top-level domain and has no subdomain. The registrable portion 'bonniershop' spans 11 characters holding four vowels versus 7 consonants. Word splitting yields 2 words: bonnier, shop. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bonniershop.nu/spinoff/historia-arsbok-2026-389860-cir-hab/?media=KM&utm_source=crm&utm_medium=email&utm_content=1084910_6010

Page Load Overview

5.37s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv-SE
Text Length:4,847 chars
Detector Agreement:50%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
adult content
27%
e-commerce shopping
26%
e-commerce
20%

Detected Features

Payment
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3216.239.36.54Google · CDNUnited States
AS15169Google LLC
3146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
33.174.46.44Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
334.120.44.102Google · CDNKansas City, Missouri, United States
AS396982Google LLC
334.160.47.224Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.110.97Google · CDNUnited States
AS15169Google LLC
5817--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15004A33BE291A82DF77E4611A2A1720C76119203F902DDFBB15D41DBBB82DD1897F22D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:p0xgFYLn7zJJA5PSRv70qCvc3fNW1lx6AlkN/cg9:WpDAO4qAiD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:176665:AdCQEXYqhoTwRJIA8DBkAChqSISAQhFKlAYBLsRQAmyCNAgogcokIozYgzioQBSIAFoogAGJiQKiIADogAQJ5YMlAcRFyADS

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:003c3c3c3c100000
Perceptual Hash:9e8b6124c731cece
Difference Hash:8e696969692936ec
Wavelet Hash:663e3c3c3e1e0666
Color Hash:#e06c6c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data