ScanMalware.com

Security Scan Report: vintfjard.se

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/2f6d8ce0-ef98-48ab-89f3-56482ac76c89Domain and IP registration (RDAP)/api/v1/rdap/2f6d8ce0-ef98-48ab-89f3-56482ac76c89How often this domain was scanned/api/v1/domain/stats/vintfjard.seScan history for this domain/api/v1/domain/history/vintfjard.se?limit=15
This website contacted 23 IPs in 3 countries across 22 domains to perform 63 HTTP transactions. The main domain is vintfjard.se.

Submitted URL: https://vintfjard.se

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate personal portfolio site for Sara Vintfjärd. No forms, impersonation, malware, or threat-intelligence matches detected.

Safety Factors (5)
No credential or payment forms present.
No brand impersonation of a different entity.
No indicators of compromise or malware detected.
Content reads as a legitimate personal/professional portfolio site.
Self-branding matches the domain.
Domain age information unavailable

Details

Page Title

"vintfjard.se"

Scan Type

public

Domain Name Analysis

The domain 'vintfjard.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Its registrable label 'vintfjard' stretches across 9 characters with 2 vowels and 7 consonants. Splitting it apart reveals five words: v, in, t, f, jard. Median word length is 1 character. No strong language cues emerged from the frequency lists.

Screenshot

@ Skapa din egen webbplats, gratis på WordPress.com. Hem Sara Vintfjärd Scenkonstproducent baserad i Karlstad. Privacy & Cookies We, WordPress.com, and our advertising partners store and/or access...

Page Load Overview

8.38s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Text Length:171 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism28% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
28%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22192.0.78.13San Francisco, California, United States
AS2635Automattic, Inc
8192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
5192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
4104.18.14.29Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.15.29Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
246.30.213.191Copenhagen, Capital Region, Denmark
AS51468One.com A/S
2192.0.78.12San Francisco, California, United States
AS2635Automattic, Inc
2192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
2142.250.154.97Google · CDNUnited States
AS15169Google LLC
218.64.211.75Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6323--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11DF055EB240615004320A1C074D0B159FCAB403D2BDC8FB21CF7B8F2E38C621A846ADD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hYbnGHD4dBgFjfd2XfK4oRbsj4xUAWWi7hzMk+5EkbgQL:hYbnGEKFY2R4jo87l1+GkbL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:2240c79d7954fd98c81ea0c02855f925

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:00ff1f9f1f1f1fff
Perceptual Hash:9e61e11e614f1f68
Difference Hash:9a203230373e658e
Wavelet Hash:001f1f1f030f1fbe
Color Hash:070000001c0

Other Hashes

Crop Resistant:9a203230373e658e,0001090d2c0d0905,0040404040404040,cb4b4160e5c56933

Scan History

Scan history not available

Unable to load historical scan data