Security Scan Report: skonhet-angelholm.se

Redirected to:
https://thingsreview.com/generic/beauty-n-17/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 44 IPs in 2 countries across 21 domains to perform 189 HTTP transactions. The main domain is skonhet-angelholm.se.

Submitted URL: https://skonhet-angelholm.se

Effective URL:
https://thingsreview.com/generic/beauty-n-17/
Redirected

AI Security Verdict

Low Risk

Confidence: 58%

3
Risk Score

Templated local-business review page with no forms, no impersonation and no threat-intel, YARA or IDS hits. Low-quality ad-heavy directory content on a domain of unknown reputation, but nothing malicious observed.

Risk Factors (3)
Content appears auto-generated/templated (URL path /generic/beauty-n-17/), consistent with a low-quality directory or content-farm page rather than original editorial content
Domain age and reputation for the final URL (thingsreview.com) are unknown — the supplied 172-day age belongs to the redirecting entry domain, so no reputation credit can be given
Very heavy advertising/consent infrastructure (Google AdSense/Funding Choices, ~110 TCF vendors, push-sdk.com, ad-traffic-quality and uid sync endpoints) — noisy monetisation and extensive tracking, though these are scripted analytics/ads, not credential handlers
Safety Factors (5)
No password, login or payment fields anywhere on the page; the single form is not a credential form
No Indicators of Compromise against the page or its loaded resources
No obfuscated or malicious JavaScript, no WebAssembly findings, no known phishing kit
No brand impersonation — the page reviews a third-party salon without claiming to be it
All third-party script hosts are high-ranking, widely used Google/ad-tech domains
Domain age information unavailable

Details

Page Title

Beauty N° 17 – Things Review

Scan Type

public

Domain Name Analysis

You're looking at domain 'skonhet-angelholm.se' on the Swedish country-code top-level domain (.se) without a subdomain. The core label 'skonhet-angelholm' covers 17 characters containing five vowels alongside eleven consonants; bonus characters include 1 hyphen. Splitting it apart reveals 6 words: sk, on, he, t, angel, holm. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://skonhet-angelholm.se

Page Load Overview

1.18s
Total Load Time
4.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:68,280 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical63% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
63%
adult content
59%
travel tourism
59%
government public service
40%
news/blog
35%

Detected Features

Search
Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17172.67.151.234Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.67.208.122Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.127.154Google · CDNUnited States
AS15169Google LLC
4172.67.142.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.97Google · CDNUnited States
AS15169Google LLC
4157.90.33.68Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
4216.239.38.135Google · CDNUnited States
AS15169Google LLC
4216.239.32.36Google · CDNUnited States
AS15169Google LLC
4142.251.13.139Google · CDNUnited States
AS15169Google LLC
4142.251.14.95Google · CDNUnited States
AS15169Google LLC
18944--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129950C1BF4E21A37D2AA86E09177773C7B7CC91E9BC10C709843277E478ADE6164918E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Fh6ZsDcpzNoYA0szDYe0uzPYQ0AzzeDTjOvQ+eDcpzNRYv0fz+YZ0hz2Yl0dzzeW:A4DD44Mjpevg6mR6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1945603:hXrmFASkASuJTIDBQWQJYCKRhaEQEVKB5oiUHgwogsgAKQHuEGRA0lejEIDY0AgQJAgixlkEgQp1zjtISAM2QrEBgwHIkEDA

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:00001c3c18184242
Perceptual Hash:989a36d99cb26738
Difference Hash:929cb2b2b2b29696
Wavelet Hash:00c3dfffd8d8c0c0
Color Hash:#c3c587

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data