Security Scan Report: www.saffle.se

Redirected to:
https://saffle.se/
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Submitted: Jun 17, 2026, 3:31:09 AMCompleted: Jun 17, 2026, 3:32:24 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is saffle.se and was registered NaN years ago.

Submitted URL: http://www.saffle.se

Effective URL: https://saffle.se/Redirected

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

The site appears legitimate, with no malicious indicators and a long‑standing domain.

Safety Factors
Well‑established domain with long registration history
Self‑branding aligns with official municipal name
Absence of forms that collect credentials or payments
No malicious network or JavaScript activity detected
Domain age information unavailable

Details

Page Title

Säffle kommun - Säffle kommun

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

corporate business

(66%)

Domain Information

The domain name 'www.saffle.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'www'. The second-level label 'saffle' is 6 characters long with 2 vowels and 4 consonants. Segmentation suggests four words: s, a, ff, le. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.saffle.se

Page Load Overview

5.73s
Total Load Time
77
HTTP Requests
7
Domains
1.3 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:5,343 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate business66% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
66%
government public service
58%
education learning
47%
documentation technical
41%
blog personal website
39%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3913.35.58.2United States
AS16509Amazon.com, Inc.
38185.84.52.224Sweden
AS41174SiteVision AB
772--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126A3182224B1793B117B50C439B53B0B63F28A1BC9970944B6FD8F681FD3F89682F615

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:vhD71LztdqB5yUFdvB59UXcoB51U7TGGB2xUG3aFB2lUFQNNjSToBLaUG266EBL7:vhf0B5yUFdvB59UXcoB51U7T/B2xUG3U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:101317:QwgXEjBGxCg4PcBBCSVEBDBPCOAWFgWqQoZAsQEoUKIhQIkCmDCkZRwJioyqOAhkAMAiBIK0FIYgbCQhCNgAUWiAo1Iaigxg

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:ffffff0000c08101
Perceptual Hash:e2d0d7d20877d0f2
Difference Hash:0883c137850c0f0f
Wavelet Hash:ffffff0101e08101
Color Hash:#8e87c5

Scan History

Scan history not available

Unable to load historical scan data