Security Scan Report: dintarta.se

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Submitted: Oct 4, 2026, 9:00:32 AMCompleted: Oct 4, 2026, 9:02:03 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Long-established Swedish cake shop (dinTarta.se, ~9 years old) with self-branding, no credential or payment capture, and only a single-source generic abuse-reputation tag on a third-party resource. No concrete malicious signal; low risk.

Risk Factors (3)
og:site_name declares 'deineTorte.de' while the domain is dintarta.se (related same-operator cake brand, but a title/brand mismatch signal)
7 cross-domain redirects detected in the capture chain
Domain not present in Cisco Umbrella top 1M
Safety Factors (6)
Domain age ~3544 days (well-established), minimal age risk
Self-branding detected: title/meta match the domain dintarta.se
Rich legitimate e-commerce content: product categories, customer reviews, cart, localization, payment-method info
No credential-harvesting, no payment form, no obfuscated-JS network sink, no brand impersonation
Cross-origin requests (Shopify, Yotpo, TikTok/Bing analytics, Adverfly loyalty) are normal commerce/analytics integrations
Physical address visible
Domain age information unavailable

Details

Page Title

Beställ tårta online på dinTårta.se 🍰

Scan Type

public

Domain Name Analysis

Domain 'dintarta.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'dintarta' is 8 characters long holding three vowels versus five consonants. Segmentation suggests three words: dint, art, a. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dintarta.se

Page Load Overview

34.91s
Total Load Time
16.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:23,005 chars
Detector Agreement:80%

Website Classification

Primary Category

finance banking69% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
69%
e-commerce shopping
64%
technology software
56%
government public service
43%
documentation technical
42%

Detected Features

Search
Products
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7523.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
923.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
934.144.250.199Google · CDNKansas City, Missouri, United States
AS396982Google LLC
92.23.245.81Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
989.145.160.109Frankfurt am Main, Hesse, Germany
AS61098Akenes SA
9104.16.248.109Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9172.67.73.234Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9104.20.17.83Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
934.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
934.149.34.106Google · CDNKansas City, Missouri, United States
AS396982Google LLC
70571--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15565FA10E1B12C3E800B81B5F6D2F75E3791B143F6824AA0B9BF57589F56EA32E1725C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:xZ4gYeJrcjkuQAzJ2hZh9MAs9vlDePR0Da9VDJwOlOmfRM1G2UKlri0svcgd/oNm:FTPR0idrB3vKNif8UlyYE3Z/z0sA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1530754:0wVDWkwQBxIgCUMIKpKQSIZBwABAF0hL+6sgwKUwJYAIghAIwBAAxBAUCiIKBjLGEAQM7BYAQLeLpzCQYA6h4PAEEFBkJJBM

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:0093818397e3f7bf
Perceptual Hash:be7843601f307b5a
Difference Hash:a5233b37250f476a
Wavelet Hash:00818183b7e3f7bf
Color Hash:#ac5356

Scan History

Scan history not available

Unable to load historical scan data