Security Scan Report: sweetsonthestreets.se

Submitted: Completed: publiccompleted
This website contacted 16 IPs in 1 country across 8 domains to perform 47 HTTP transactions. The main domain is sweetsonthestreets.se.

Submitted URL: https://sweetsonthestreets.se

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Legitimate Swedish dessert-catering and food-truck business site. Self-branded domain, no forms, no threat-intel or malware signals. Unknown registry age and unranked status are neutral here.

Safety Factors (4)
Self-branding: displayed brand matches the registered domain
No login, credential or payment forms anywhere on the page
No Indicators of Compromise, malware kits or network IDS alerts
Coherent, specific local business content (events at Skånes Djurpark, Huseby Bruk, Bosjökloster, Övedskloster) with reviews
Domain age information unavailable

Details

Page Title

Sweets on the Streets - Dessertbuffé, Våfflor & Catering

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'sweetsonthestreets.se' is registered without a subdomain. Its registrable label 'sweetsonthestreets' stretches across 18 characters containing six vowels alongside 12 consonants. Segmentation suggests 4 words: sweets, on, the, streets. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sweetsonthestreets.se

Page Load Overview

4.21s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:3,654 chars
Detector Agreement:80%

Website Classification

Primary Category

adult content35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
35%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1734.202.63.170Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
265.8.131.109Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2142.251.20.97Google · CDNUnited States
AS15169Google LLC
23.171.214.40Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2100.63.81.203Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
265.8.131.67Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.171.214.97Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4716--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17224A682F1B32425210381EDD6656E453B61E247CA029DADFBEC26A91FCBED1D63335C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wagmMLl2diZsJDqTWxbU62X22hej9giX/gWpl4:wagmMLl2diZsJJU62GIejN4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:215927:YDxiRCLQNCUwKCFUDlCpQSerACYrASjbIwOoZgdDBgGgIATgRAREbCCkmDIiCwaFUSBbkmGoMMBrBJhAoChAZFRQrByyGgJS

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:fff830f0f010f7ff
Perceptual Hash:c449b936aabb1687
Difference Hash:84a26064646404db
Wavelet Hash:ff7030b03000f6ff
Color Hash:#d279c1

Scan History

Scan history not available

Unable to load historical scan data