Security Scan Report: start.stockholm

Submitted: Oct 19, 2025, 6:49:59 AMCompleted: Oct 19, 2025, 6:50:45 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 24 HTTP transactions. The main domain is start.stockholm and was registered NaN years ago.

Submitted URL: https://start.stockholm/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established government domain
No malicious Indicators of Compromise
Only standard cookie consent banner (legitimate EU requirement)
Domain age information unavailable

Details

Page Title

Stockholms stad

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the .stockholm top-level domain, 'start.stockholm' is registered without a subdomain. The core label 'start' covers 5 characters with one vowel and four consonants. Word splitting yields 1 word: start. Median word length is 5 characters. Most frequently, 'start' shows up in English. It also appears in Chinese (Pinyin) and Breton contexts.

Screenshot

Security scan screenshot of https://start.stockholm/

Page Load Overview

23.48s
Total Load Time
24
HTTP Requests
2
Domains
892 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:3,882 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

OG: Website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8217.21.237.158Stockholm, Stockholm County, Sweden
AS29672S:t Erik Kommunikation AB
8185.24.134.203Stockholm, Stockholm County, Sweden
AS48579ELASTX AB
82a03:c780:6:231::72Sweden
AS29672S:t Erik Kommunikation AB
243--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5C3F7B1819C1F3E23234BDDCB156AAC2B4F21BEE25A889F70BF11E4A767D824507D54

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Wmg26OTal5SwfwN1aynaPBYMnGyF/itc0ALGyn8bSLXkrnuUm7nz6oaKCesA/gef:WasfODaPLGysUCyOrnuUm7nz6oaKC2Vf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:122490:IaFAID0YlVBMIJwAthEUIQJSAAAFIUNZSkIZEVrqIBcAERkhA6DCAFACAopspQBIUQ6gKFAyHEJKiwB6MCqRgAB4IWQhAgLG

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:ff8ff0f0fcf4fcfc
Perceptual Hash:da2d92b9c3644e95
Difference Hash:283a2525198595ed
Wavelet Hash:8f8ff0e080f0e8fc
Color Hash:#2d8646

Scan History

Scan history not available

Unable to load historical scan data