Security Scan Report: veo3generator-4dt7l35of9.edgeone.app

Submitted: Feb 21, 2026, 11:15:25 AMCompleted: Feb 21, 2026, 11:16:48 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 veo3generator-4dt7l35of9.edgeone.app and was registered NaN years ago.

Submitted URL: https://veo3generator-4dt7l35of9.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

veo3generator-4dt7l35of9.edgeone.app

Scan Type

public

Language

🇮🇩

ID

(19% confidence)

Category

technology software

(50%)

Domain Information

The domain 'veo3generator-4dt7l35of9.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'veo3generator-4dt7l35of9'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://veo3generator-4dt7l35of9.edgeone.app/

Page Load Overview

2.93s
Total Load Time
17
HTTP Requests
4
Domains
9 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:19%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:19%
Script Type:Unknown
HTML Lang Attribute:ms
Text Length:269 chars
Detector Agreement:33%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

technology software50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
50%
adult content
41%
documentation technical
32%
government public service
32%
entertainment media
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1743.152.26.58Singapore
171--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ffQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszE2bMy8Oldy:ghoC9JSqzzbs6o3Sj3gcrsg2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184571:UATFF5AFMgjADQkJEFpIkAAA6IVkp4K0AAQwCEAdAsDAGqgBLAGhMEYygkdJWOxCIhNQAQUIKiUIgq8gCcAUiBsaEjDwsCAC

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:b131cccccc676363
Difference Hash:00180c1400000000
Wavelet Hash:3c1c000cf0f0f0f0
Color Hash:#2d5986

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data