Security Scan Report: vedantmaths1-2vumn2af2q.edgeone.app

Submitted: Feb 20, 2026, 12:14:34 PMCompleted: Feb 20, 2026, 12:15:48 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is vedantmaths1-2vumn2af2q.edgeone.app and was registered NaN years ago.

Submitted URL: https://vedantmaths1-2vumn2af2q.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: 95%

0
Risk Score

Site shows no malicious activity; appears legitimate though currently unreachable.

Safety Factors
Well-established domain (>2 years)
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Low ranking mitigated by domain age
Domain age information unavailable

Details

Page Title

vedantmaths1-2vumn2af2q.edgeone.app

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(54%)

Domain Information

Domain 'vedantmaths1-2vumn2af2q.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'vedantmaths1-2vumn2af2q'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. It segments into 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://vedantmaths1-2vumn2af2q.edgeone.app/

Page Load Overview

6.20s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:191 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical54% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
54%
news media journalism
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:YfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8Old0:ThoC9JSqzzbs6o3Sj3gcrs62eAS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184566:pImiyCAZIAOAA+kAAGSoBC0QjcjWgADYAIcAEAauNa2RANBqqYhAADhqBY4ALCnCAmpGREKOjUwRRJVBYkAGgAeSEQDIEAoe

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:b331cccccc676323
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#783a3c

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data