Security Scan Report: fas.se

Submitted: Jan 20, 2026, 4:53:30 AMCompleted: Jan 20, 2026, 4:54:38 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is fas.se and was registered NaN years ago.

Submitted URL: https://fas.se/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate and poses no security threats.

Safety Factors
Established domain (>2 years old)
No malicious Indicators of Compromise
No sensitive data collection forms
Official government agency content
Secure HTTPS protocol
Domain age information unavailable

Details

Page Title

Hem - Forskningsrådet för arbetsliv och socialvetenskap

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

government public service

(94%)

Domain Information

The domain 'fas.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'fas' is 3 characters long split between 1 vowel and 2 consonants. Breaking it apart gives 2 words: f, as. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fas.se/

Page Load Overview

2.24s
Total Load Time
21
HTTP Requests
1
Domains
128 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-SE
Text Length:2,318 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service94% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
94%
corporate
35%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21173.244.216.24New York, New York, United States
AS13213UK-2 Limited
211--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1720309B394BC1837779B83E89495B21CE6A99525CB069E22B1FD101C9FA1EF900F731D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:vpK1pPp/DonZdypSOJ8IgGrNvWchp09f+O3wLBJkm857akt9sE8EWo0sCI:vw19JIypp8IHvWchW9f+DLBJkmY7akt/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39475:RIBXKRCQMMWYAQ7AJ5jECQsAEvAjQYNMMgZBKUBpdEMl0hEnZhmCHEaIVBBCgjoAAQM1AEIEMJgA+1IgAUGIMeOYgE8AzQMU

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:3c003c3c3c3c3c3c
Perceptual Hash:9b643839939ac6ce
Difference Hash:781660f070f8f1f1
Wavelet Hash:7c007c3c3c3c3c3c
Color Hash:#46bf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data