Security Scan Report: qqwwertyza.edgeone.app

Submitted: Dec 11, 2025, 12:44:40 AMCompleted: Dec 11, 2025, 12:45:27 AMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 7 domains to perform 12 HTTP transactions. The main domain is qqwwertyza.edgeone.app.

Submitted URL: https://qqwwertyza.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 100%

10
Risk Score

Confirmed phishing site harvesting credentials

Risk Factors
Known malicious domain (phishing)
Credential harvesting form (email + password)
Hidden password field
New/unknown domain age
Low ranking and brand impersonation
Domain age information unavailable

Details

Page Title

Webmail Sign-in

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(27%)

Domain Information

The domain name 'qqwwertyza.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'qqwwertyza'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://qqwwertyza.edgeone.app/

Page Load Overview

6.33s
Total Load Time
12
HTTP Requests
7
Domains
116 KB
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:249 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical27% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.16.175.226United States
AS13335CLOUDFLARENET
0104.16.174.226United States
AS13335CLOUDFLARENET
0142.250.74.196United States
AS15169GOOGLE
043.152.26.58Singapore
0142.250.185.202United States
AS15169GOOGLE
0172.67.74.152United States
AS13335CLOUDFLARENET
0142.251.140.163United States
AS15169GOOGLE
0142.250.185.196United States
AS15169GOOGLE
02a00:1450:4001:804::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
02a00:1450:4001:829::2004Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
1216--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E032F762ABB9043D3293D0B931F5B7847E31C107DF41499A78BE2A954FCAE8648777C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:U7Uq6jfD9jTZLox1JJyoQ+KJAM7R0eyi0tmfnrisLiZi4jb2UO4UWOA+:UAtX0eyi3PriyiZi4jDUW8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11666:BAyK5EAGBgAwrGIQEZZAMVeIIQSUAPRCoSgeAgxEOkpDhdEAgCFwBgCPmnHZRs1rQgELYGBAgygYBMkQAAwAKFiBIgI4hGqq

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:ffc3c3ffffffffff
Perceptual Hash:b13164cece9b9931
Difference Hash:0016160000000000
Wavelet Hash:fcc0c0fcf0f0f0f0
Color Hash:#c59d87

Other Hashes

Crop Resistant:0016160000000000

Scan History

Scan history not available

Unable to load historical scan data