Summary
This website contacted 39 IPs in 2 countries across 7 domains to perform 50 HTTP transactions. The main domain is comviq.se and was registered NaN years ago.
Submitted URL: https://www.comviq.se/
AI Security Verdict
Safe Website
Confidence: 98%
0
Risk Score
The site appears legitimate with no security concerns.
Safety Factors
Well‑established domain with minimal risk category
Absence of login or payment forms
No malicious Indicators of Compromise
No phishing or malware signatures detected
Domain age information unavailable
Details
Page Title
Comviq - Billigt, enkelt, schysst!
Scan Type
public
Language
🇸🇪
(80% confidence)Swedish
Category
technology software
(40%)Screenshot

Page Load Overview
8.46s
Total Load Time
50
HTTP Requests
7
Domains
309 KB
Total Size
Language Analysis
Primary Language
🇸🇪Swedish
Code: svConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:6,097 chars
Detector Agreement:100%
Website Classification
Primary Category
technology software40% confidence
Type: static
Method: ml+structural
All Detected Categories
technology software
40%
Detected Features
No structural features detected
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 12 | 13.33.187.25 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 13.33.187.102 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.184.200 | United States | AS15169GOOGLE |
| 1 | 13.33.187.16 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 74.241.198.254 | Sweden | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 142.250.185.195 | United States | AS15169GOOGLE |
| 1 | 13.33.187.2 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 172.67.71.156 | United States | AS13335CLOUDFLARENET |
| 1 | 104.18.29.63 | United States | AS13335CLOUDFLARENET |
| 233 | 39 | - | - |
Detected Technologies1
100%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T10CB4B6677178727A92B24394AC43A1A60DDA130EE32D86D846FDCD75D3C3E097227E72
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
3072:vTINIFiPVFH+4Q07UINILzk47DfNVQ0NBA8hJNXvBlii/k8q2pePM:saIPjH+Kak47DfNNBA8hJtvBliidpePM
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:502259:sBJuigOgAEFS03q2AAQc6iDkMwBibSEOS09sAmkQoIlgEEJYKIrAikOOMJUYqUgBCBEw4EkCA2MtyAAUQAGEoKT0TAEIUMBh
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:081818181818ffbd
Perceptual Hash:981cf7624b674876
Difference Hash:3333317331316973
Wavelet Hash:181f18191918ffbf
Color Hash:#e07b6c
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data