Security Scan Report: www.ange.se

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Submitted: Jan 18, 2026, 7:03:19 PMCompleted: Jan 18, 2026, 7:04:34 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 57 HTTP transactions. The main domain is ange.se and was registered NaN years ago.

Submitted URL: https://www.ange.se/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Well‑established domain (>30 years old)
No malicious Indicators of Compromise
No forms collecting sensitive data
Content appears to be a municipal welcome page
Domain age information unavailable

Details

Page Title

Välkommen till Ånge - Välkommen till Ånge

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

social media network

(80%)

Domain Information

The domain name 'www.ange.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www'. Its registrable label 'ange' stretches across 4 characters containing 2 vowels alongside two consonants. Segmentation suggests 1 word: ange. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ange.se/

Page Load Overview

7.32s
Total Load Time
99
HTTP Requests
6
Domains
12.0 MB
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:1,714 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network80% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
80%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19185.84.52.245Sweden
AS41174SiteVision AB
16193.234.47.14Sweden
AS8473Bahnhof AB
1679.127.211.90Germany
16193.234.47.11Sweden
AS8473Bahnhof AB
16193.234.47.10Sweden
AS8473Bahnhof AB
1631.13.72.53Bromma, Stockholm County, Sweden
AS32934FACEBOOK
996--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC8319350951BC37197B1AD9F2753B8A60B29608EF17A500B7FCC3C63BC3EDA496A164

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lqJGxDrztpxolvUltpxnfJNh8vFudrMaE8wGOCUb/QtIpMKBn:lqJyXGJUrRr8vFu9MaE8wGOCUb/QtIpB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:84859:xggPgWQCSKgAA4QbwUBxkyWOCSxgpAHkBVCTQqBEmGgAQInA2UCAYICC4dOdQDSuQQJNAMFsNZmRnsLJgIhYIAUYN4KhIjYL

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:0000183c3c01ffff
Perceptual Hash:9a59652adaf52d18
Difference Hash:30f0f2797967968e
Wavelet Hash:0038187c3c03ffff
Color Hash:#6cbde0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data