Security Scan Report: app.fastdok.se

Redirected to: https://app.fastdok.se/templates

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Submitted: Dec 5, 2025, 12:15:44 AMCompleted: Dec 5, 2025, 12:16:46 AMpubliccompleted
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Summary

This website contacted 19 IPs in 3 countries across 3 domains to perform 30 HTTP transactions. The main domain is app.fastdok.se and was registered NaN years ago.

Submitted URL: https://app.fastdok.se/

Effective URL: https://app.fastdok.se/templatesRedirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain age
Physical address displayed
No forms collecting credentials or payment information
No malicious Indicators of Compromise matches
Domain age information unavailable

Details

Page Title

Fastighetsägarna - Dokument

Scan Type

public

Domain Information

The domain 'app.fastdok.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'app'. The registrable portion 'fastdok' spans 7 characters split between 2 vowels and 5 consonants. It segments into three words: fast, do, k. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.fastdok.se/

Page Load Overview

1.30s
Total Load Time
30
HTTP Requests
3
Domains
3.8 MB
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24185.141.31.201Stockholm, Stockholm County, Sweden
AS48579ELASTX AB
565.8.131.74United States
AS16509AMAZON-02
154.216.161.244Dublin, Leinster, Ireland
AS16509AMAZON-02
152.18.143.242Dublin, Leinster, Ireland
AS16509AMAZON-02
165.8.131.38United States
AS16509AMAZON-02
165.8.131.54United States
AS16509AMAZON-02
165.8.131.66United States
AS16509AMAZON-02
12a05:d018:b50:e002:8da1:aef1:76e7:7fe1Dublin, Leinster, Ireland
AS16509AMAZON-02
12600:9000:208a:6800:5:201c:bd80:93a1United States
AS16509AMAZON-02
12600:9000:208a:b400:5:201c:bd80:93a1United States
AS16509AMAZON-02
3019--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B14E7225715163D791FCDF8B434B32950A5D39DCA6F84898AED03762BCBC90ADBF284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:YHTzW7SOXZ38DSPGP3yTWhvaeez1AGCfQT+WbrQ+QFNdx9ZgjvA:szWIQvA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:196119:A2IBAUgJ38CoPhA8hlgGYiQEkAQHEPGgBVsQMMUAxBEWiGAEeGXAVRCkR6EoE8UwEVAmYlFhMA9gAgNQMq6FDU4gOA21DMRA

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:ff0000bcffffffff
Perceptual Hash:c30091adfcdede81
Difference Hash:d0d4c9695f4d9d8a
Wavelet Hash:7e000000e5f7effe
Color Hash:#9ac587

Scan History

Scan history not available

Unable to load historical scan data