Security Scan Report: vingens.se

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Submitted: Oct 3, 2026, 7:40:30 AMCompleted: Oct 3, 2026, 7:41:09 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

Page content looks like a genuine small Swedish reuse shop with no forms or impersonation, but it is linked to the external domain heatherkiln.top, reported as malicious by two independent threat-intel feeds, with a script URL flagged as malware — consistent with a compromised or injected site.

Risk Factors (3)
Page is tied to an external domain (heatherkiln.top) that multiple threat-intel feeds report as malicious
A referenced script URL on that external domain is flagged as malware, consistent with a compromised site injecting a third-party payload
New (71-day-old) unranked domain, so the legitimacy of the host can't be corroborated by reputation
Safety Factors (6)
No credential, login or payment forms on the page
Page content shows its own brand (Vingen / Vingens Återbruksaffär) matching its own domain — no impersonation of another entity
No JavaScript YARA malware patterns, no native-YARA hits and no Suricata IDS alerts
No cross-origin credential exfiltration detected
Content reads like a real small local reuse shop run by a Swedish care company
No concrete malicious signal (no IoC / YARA / Safe-Browsing / IDS / credential form / brand impersonation) — elevated risk rested on domain age or reputation alone; clamped from 7 to 3
Domain age information unavailable

Details

Page Title

Vingen

Scan Type

public

Domain Name Analysis

You're looking at domain 'vingens.se' on the Swedish country-code top-level domain (.se) and has no subdomain. Count 7 characters in 'vingens' split between two vowels and 5 consonants. Segmentation suggests three words: v, in, gens. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vingens.se

Page Load Overview

2.79s
Total Load Time
532 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv-se
Text Length:289 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network93% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
93%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5093.188.2.54Sweden
AS39570Loopia AB
501--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DBC264370C00117ECA3305E9F5523A9E6396BA0EE38715D42CFAC556AFE6BC78937468

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:CO1PL1+Kd/JmNYK0e3L30P01U9D95AN1LSJa/U9Dh5AW1ISJa8g2JktgU9Dh5Aqe:CJ081U9D95AN1LSJa/U9Dh5AW1ISJa8X

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26259:XIIqwpcMCGTwAYAEOCFIBaikEmBu4gsEGgshmAEV8C2AkCUAyNCopqBwgSBAJRKZBgALIJsgAak0VYUknRCI4AMAKdBKkAjU

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:ff8181dfffffff00
Perceptual Hash:f86a4787959332b8
Difference Hash:08333b33164c0044
Wavelet Hash:e78181c3dfe7cb00
Color Hash:#931f4e

Scan History

Scan history not available

Unable to load historical scan data