Security Scan Report: vettefyr.se

Redirected to:
https://www.servicenow.com/community/user/viewprofilepage/user-id/3727...
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Submitted: Sep 27, 2026, 3:20:25 AMCompleted: Sep 27, 2026, 3:21:30 AMpubliccompleted

This website contacted 50 IPs in 5 countries across 30 domains to perform 180 HTTP transactions. The main domain is servicenow.com and was registered 13 years ago.

Submitted URL: https://vettefyr.se

Effective URL:

https://www.servicenow.com/community/user/viewprofilepage/user-id/3727...
Redirected

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Cross-domain redirect from vettefyr.se ends on ServiceNow's own community site (a brand-owned, established domain). No forms, no Indicators of Compromise, no malware. Legitimate community profile page.

Safety Factors (4)
Redirect terminates on the brand owner's own established domain (www.servicenow.com), which is a genuine, highly ranked platform
No forms, no credential collection, no payment capture anywhere on the page
No threat-intel matches, no YARA malware patterns, no malicious network IDS alerts
Content is a normal community user profile on an authentic vendor platform
Domain age information unavailable

Details

Page Title

About felladin - ServiceNow Community

Scan Type

public

Domain Name Analysis

You're looking at domain 'vettefyr.se' on the Swedish country-code top-level domain (.se). The core label 'vettefyr' covers 8 characters with two vowels and six consonants. Tokenizing the label suggests 3 words: vet, tef, yr. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vettefyr.se

Page Load Overview

22.19s
Total Load Time
4.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:40,442 chars
Detector Agreement:100%

Website Classification

Primary Category

social_media40% confidence
Type: spa
Method: ml+structural

All Detected Categories

social_media
40%
technology software
35%
forum
35%
social media
15%

Detected Features

Comments
OG: profile

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3323.36.162.196Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3194.9.94.86Sweden
AS39570Loopia AB
344.229.196.11Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
323.52.181.12Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
352.223.49.115Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3143.204.181.99Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
32.23.246.74Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3104.102.38.65Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
323.52.180.163Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
18050--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ACC41911A5D40436010345CAB5A57B4EBDB78A1FDA5A9C80BEFCA30C5FE3DA22C5EB5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:+tRIzDkG3bpKLqS7cuAmMw6KT+frhuAQWBRRNhFG8NuDJp4y5YPB3R:rz/KLqSrsQs4DJpRCh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:591173:CB8B9CNq5FDpghbigARARkEwFEBNkGAAIWKVaWlKiiomRCBSkAMiANEgAJwmIIAQrgKUlIY5EiQWIihFiMij0gUtxAEMpAyC

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:0000c38181ffffff
Perceptual Hash:ed39c64a6992616d
Difference Hash:e13f0f0b0b234627
Wavelet Hash:0000c38181ffffff
Color Hash:#bf9940

Scan History

Scan history not available

Unable to load historical scan data