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Security Scan Report: fairfinanceguide.se

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Submitted: Jun 17, 2026, 9:08:58 AMCompleted: Jun 17, 2026, 9:09:50 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is fairfinanceguide.se and was registered NaN years ago.

Submitted URL: https://fairfinanceguide.se/sverige/teman/kampanjer/mejla-din-bank-mot-plaagsamma-djurfabriker/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site shows no malicious indicators; it appears legitimate despite minor JS obfuscation.

Safety Factors
Old, well‑established domain
No IDS or network alerts
No credential or payment collection
No external link IoC matches
Domain age information unavailable

Details

Page Title

Protestera mot bankernas stöd till djurfabriker

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

technology software

(33%)

Domain Information

The domain name 'fairfinanceguide.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The registrable portion 'fairfinanceguide' spans 16 characters split between 8 vowels and eight consonants. Splitting it apart reveals three words: fair, finance, guide. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fairfinanceguide.se/sverige/teman/kampanjer/mejla-din-bank-mot-plaagsamma-djurfabriker/

Page Load Overview

1.73s
Total Load Time
43
HTTP Requests
6
Domains
1.8 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-SE
Text Length:8,622 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software33% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
33%
finance banking
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2223.36.162.209Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2140.113.131.37Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
432--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D193443171E5322F0B67CAF02651E71B99D2458AC9812089F49DC7782FD2D1AACBF1B7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Sd+eQw42bCtstNv0hvGvBl4KI8Zqndl5WaufM1hZJJ:Sd+ew2b2KKndl5Waz1hZn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:96626:NRJAWIDZLajJkZEeOZIICABohCbLZcCJIqAIBAJqCgjYmJA7AkkAIoAwDZggA5AyKACURKOEDEskIJQAs3tI0iJjNHakEQAQ

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:00000000ffffffff
Perceptual Hash:9202c5d5dd1d1dd5
Difference Hash:aacdfdb9003b3230
Wavelet Hash:00000000ffffffff
Color Hash:#8e87c5

Other Hashes

Crop Resistant:aacdfdb9003b3230,acc0d2c0fe2b2b2d,e8aacdc9dd3cb79b

Scan History

Scan history not available

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