Security Scan Report: querulous-aqua-acdmmdetng-cykh4i7zt4.edgeone.app

Submitted: Mar 8, 2026, 11:41:30 AMCompleted: Mar 8, 2026, 11:43:05 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is querulous-aqua-acdmmdetng-cykh4i7zt4.edgeone.app and was registered NaN years ago.

Submitted URL: https://querulous-aqua-acdmmdetng-cykh4i7zt4.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; the site appears benign.

Safety Factors
Absence of credential or payment collection forms
No known malicious Indicators of Compromise
No detected malware or suspicious network activity
Content appears harmless and non‑phishing
Domain age information unavailable

Details

Page Title

AR Lineart Tracer – Schwarz-Weiß Vorlagen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(70%)

Domain Information

Domain 'querulous-aqua-acdmmdetng-cykh4i7zt4.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'querulous-aqua-acdmmdetng-cykh4i7zt4'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. Tokenizing the label suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://querulous-aqua-acdmmdetng-cykh4i7zt4.edgeone.app/

Page Load Overview

8.17s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:840 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
42%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15AA2BFB755530809E57742A02FB35F193DB08A53E146CC7D3BAD248DAF856C9D4E2B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tdgUg+15Y94Su2zStQc5tfPE7A9J5sv6WZzkskldp49bISiKTtewShRuKP:5g+15YD3sQqtTiVZzzkldp49bWKodhsA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22559:1UkCYoUhICSCPHggYLExeQqBECoZEBGqBsTGAywAZCZSVeIMkICoAAAEEEVqJEhtCKZSQggoFKAgBMQWQkhABEFwQMgCKrAA

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:f8fcf8c0c0808000
Perceptual Hash:dddcc8ef6464608c
Difference Hash:3030300400000000
Wavelet Hash:fcfcf8f0f0e0c0c0
Color Hash:#862e2d

Other Hashes

Crop Resistant:3030300400000000

Scan History

Scan history not available

Unable to load historical scan data