Security Scan Report: byggabok.se

Redirected to:
https://www.solentro.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 25 IPs in 4 countries across 19 domains to perform 85 HTTP transactions. The main domain is byggabok.se.

Submitted URL: https://byggabok.se

Effective URL:
https://www.solentro.se/
Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Redirect from byggabok.se lands on Solentro's own self-branded book-printing site. Its member login posts to its own domain; no Indicators of Compromise, malware, IDS or impersonation signals found.

Safety Factors (5)
Final host content is self-branded to its own domain — no impersonation of another entity
Login form posts to the same company's domain (legitimate SSO, no credential exfiltration)
No Indicators of Compromise, hunting rule, IDS or Safe Browsing hits
Standard commercial site with product catalogue, reviews and cookie consent
Domain age/ranking unavailable for the final host is a neutral registry artifact, not evidence of wrongdoing
Domain age information unavailable

Details

Page Title

Gör en bok - enklaste sättet på marknaden | Solentro

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'byggabok.se' is registered while skipping any subdomain. The registrable portion 'byggabok' spans 8 characters containing 2 vowels alongside 6 consonants. Segmentation suggests 4 words: by, gg, a, bok. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

ESE se alla våra 2 530 omdömen på ÅA Trustpilot > @ BÖCKER & PRISER ~ POSTERS LEVERANSER + OM SOLENTRO >= 4 LOGGA IN + Denna webbplats anvander cookies Vi använder cookies for att anpassa innehål...

Page Load Overview

1.41s
Total Load Time
1.7 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:16,292 chars
Detector Agreement:100%

All Detected Languages

🇸🇪sv(94%)🇳🇴no(3%)🇺🇸en(3%)

Website Classification

Primary Category

social media network69% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
69%
technology software
51%
entertainment media
51%
corporate
35%
government public service
31%

Detected Features

Login Form
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6142.251.14.94Google · CDNUnited States
AS15169Google LLC
4142.251.155.119Google · CDNUnited States
AS15169Google LLC
3165.232.93.253Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
3151.101.1.229Fastly · CDNUnited States
AS54113Fastly, Inc.
352.222.236.94Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3206.189.8.180Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
3104.248.196.220Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
3151.101.129.229Fastly · CDNUnited States
AS54113Fastly, Inc.
8525--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5242B236E78D12C601340D4BA70630A91EAD19BD159ED9CB5EEAA3D4F86AF71C3350F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:1cNQ2KUtVhKGED8wM+zdwc+i8K8yzi9ud4pmnqVsXD8Y7HNkLDim103zrhMu9HFp:1ca29GjMcI9LHmB/CEmceH4vrt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:228407:IFWSYCQBBMI0UIEMAAAIi5IZMKAMQVawCEdAMACDTUFSM3QyFDFgDKGUIBFOlA0Gsvo8rghDQUIpINFLgAgEaaISGSAAcBog

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:ff003c3c3c3cefd3
Perceptual Hash:8a13b4c78ea3ce93
Difference Hash:2709696969611737
Wavelet Hash:ff003c3c3c38e783
Color Hash:07600010001

Scan History

Scan history not available

Unable to load historical scan data