Security Scan Report: veyoai-v7grip3hqy.edgeone.app

Submitted: Feb 22, 2026, 6:14:03 AMCompleted: Feb 22, 2026, 6:15:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is veyoai-v7grip3hqy.edgeone.app and was registered NaN years ago.

Submitted URL: https://veyoai-v7grip3hqy.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

New, low‑reputation subdomain with no malicious content; moderate risk due to unknown age and low ranking.

Risk Factors
Subdomain on free hosting platform with unknown creation date
Low Cisco Umbrella ranking indicating poor reputation
Safety Factors
No password, email, or payment fields present
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
No cross‑origin credential exfiltration observed
Page content could not be fetched (site appears offline)
Domain age information unavailable

Details

Page Title

veyoai-v7grip3hqy.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

The domain 'veyoai-v7grip3hqy.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'veyoai-v7grip3hqy'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 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://veyoai-v7grip3hqy.edgeone.app/

Page Load Overview

2.22s
Total Load Time
3
HTTP Requests
2
Domains
15 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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E049F77329A063986558498F05B43099F21B143F506C8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszQ2bMy8OldK:MhoC9JSqzzbs6o3Sj3gcrsM2eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184536:g1gwbAHrYBsGsZUKIQgQBGsBIQM5hMAAQKARkUxEwMUEOCyDAAEA2Ami86EBpALiwQszkcggrgqQQtwCVsBWCGFCFUoQKgjS

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#2dd272

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data