ScanMalware.com

Security Scan Report: qnow.se

Redirected to:
https://qnow.se/queue
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/57307843-bfe6-4306-bbfd-3be84b103456Domain and IP registration (RDAP)/api/v1/rdap/57307843-bfe6-4306-bbfd-3be84b103456How often this domain was scanned/api/v1/domain/stats/qnow.seScan history for this domain/api/v1/domain/history/qnow.se?limit=15
This website contacted 8 IPs in 2 countries across 5 domains to perform 15 HTTP transactions. The main domain is qnow.se.

Submitted URL: https://qnow.se

Effective URL:
https://qnow.se/queue
Redirected

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Established 14-year-old domain serving a plain 404 error page. No forms, no brand impersonation, no malware or threat-intel hits. Nothing malicious observed.

Safety Factors (5)
Well-established domain (5246 days / ~14 years old)
No credential or payment forms present
No Indicators of Compromise or malware signatures detected
No cross-origin credential exfiltration
Only standard third-party CDN and analytics infrastructure referenced
Domain age information unavailable

Details

Page Title

Digital Q

Scan Type

public

Domain Name Analysis

The domain 'qnow.se' uses the Swedish country-code top-level domain (.se). Count 4 characters in 'qnow' split between 1 vowel and 3 consonants. Breaking it apart gives two words: q, now. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Page Not Found We're sorry, but the content you are trying to view does not exist. DicitaL? Powered by

Page Load Overview

1.46s
Total Load Time
2.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv
Text Length:103 chars
Detector Agreement:100%
Language mismatch: Declared as sv but detected as en

Website Classification

Primary Category

adult content39% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
39%
documentation technical
33%
news media journalism
32%
healthcare medical
31%
education learning
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
851.12.31.1Azure · CLOUDSweden
AS8075Microsoft Corporation
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
1150.171.110.49Azure · CLOUDUnited States
AS8075Microsoft Corporation
1151.101.1.229Fastly · CDNUnited States
AS54113Fastly, Inc.
1151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
120.91.146.65Azure · CLOUDSweden
AS8075Microsoft Corporation
158--

Detected Technologies4

Microsoft ASP.NET
50%
Kestrel
40%
HSTS
40%
jsDelivr
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15F530000E500092FF997CAEE9084ED52AF95CCC19901276FB1F4854DB65D9BAF38EB27

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:cHQJygxLfg2awh1TlAS1qiSbsh9UBe1Ir2GTWi1PvwnKto9QvbA/IU19MicR3I27:2Qbf11lChns2P6BK6F9TcQsh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60958:CQ0EIRj6gKAp5IyDfSkKAsCSgEVQIEQCTMCJEBEEeDFZQtTARIKBgMJAIp/AqYHNFQICC8PwhAKYGoD0tAEgUUoJE/tShEAA

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:e7e7ffffffffffe7
Perceptual Hash:e639669966992699
Difference Hash:0c0c00000008000c
Wavelet Hash:e4e4fcfc30303020
Color Hash:N/A

Other Hashes

Crop Resistant:0c0c00000008000c

Scan History

Scan history not available

Unable to load historical scan data