Security Scan Report: flat-azure-ft7slav41d-1uv5ijhju3.edgeone.app

Submitted: Mar 15, 2026, 3:17:35 PMCompleted: Mar 15, 2026, 3:18:53 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 6 HTTP transactions. The main domain is flat-azure-ft7slav41d-1uv5ijhju3.edgeone.app and was registered NaN years ago.

Submitted URL: https://flat-azure-ft7slav41d-1uv5ijhju3.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The page mimics Telegram branding on a fresh edgeone.app subdomain; no credential harvesting detected but it should be treated as moderately risky.

Risk Factors
Brand impersonation (Telegram) on a non‑official subdomain
New/unknown subdomain on a free hosting platform
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
JavaScript shows low obfuscation and no malware patterns
External resources are benign (google.com, api.qrserver.com)
Page title and content do not contain phishing‑specific language
Domain age information unavailable

Details

Page Title

Watchtime Pro Ultra Max

Scan Type

public

Language

🇮🇳

Hindi

(80% confidence)

Category

social media network

(65%)

Domain Information

Domain 'flat-azure-ft7slav41d-1uv5ijhju3.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'flat-azure-ft7slav41d-1uv5ijhju3'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://flat-azure-ft7slav41d-1uv5ijhju3.edgeone.app/

Page Load Overview

1.14s
Total Load Time
6
HTTP Requests
5
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇮🇳Hindi
Code: hi
Confidence:80%
Script:Devanagari
Direction:ltr

Detection Details

Language Code:hi
Detection Confidence:80%
Script Type:Devanagari
HTML Lang Attribute:hi
Text Length:403 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network65% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
65%
finance banking
43%
technology software
36%
documentation technical
27%
adult content
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
295.216.163.127United States
1142.251.208.14Singapore
1142.251.156.119Germany
143.152.26.58Singapore
1172.240.127.234UnknownUnknown
65--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12732B897339A242169EBF0A57DF2D3BA7520A113D20645583EEC60F0CF8ED9449BFA4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Pdxn2XADdDqggVGU5rcDoFMMjpvoOpRLa+FWdyJ+hOVpfYlsUF4ZFhYDsJV+bVwF:3nMrKhOVxCcoogbVwIwuwIytwIcccdIN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11787:gRQq1xHAQYAWFGSvARikPIBnAQg+BAAzeAAjglCSG2gAJDhHSxNQ1oDArKQAU4a0AAJFJVQHgQMhdK4rAIYAICjIZAckSOkA

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:00ffff8000000000
Perceptual Hash:c4c41b3b3b7ec4c4
Difference Hash:3184a42508000000
Wavelet Hash:ffffffff00000000
Color Hash:#d2432d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data