Security Scan Report: vipinthakur-an6lco1oby.edgeone.app

Submitted: Dec 28, 2025, 6:22:25 AMCompleted: Dec 28, 2025, 6:24:32 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 5 HTTP transactions. The main domain is vipinthakur-an6lco1oby.edgeone.app and was registered NaN years ago.

Submitted URL: https://vipinthakur-an6lco1oby.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

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain
No credential or payment collection
No external links or redirects
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Premium Landing Page

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(95%)

Domain Information

Domain 'vipinthakur-an6lco1oby.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'vipinthakur-an6lco1oby'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. It segments into two 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://vipinthakur-an6lco1oby.edgeone.app/

Page Load Overview

95.06s
Total Load Time
5
HTTP Requests
0
Domains
N/A
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:182 chars
Detector Agreement:33%

Website Classification

Primary Category

social media network95% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
95%
gambling betting
30%
news media journalism
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58UnknownUnknown
2157.240.0.6Germany
AS32934FACEBOOK
02--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19CE1A69F49F3345236F388606BE312453555910FA9BBD9687ACDD260EF909D888C374D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:F2mRvyBJPg+bTRbgH75jcZT+VrKyRa1XoD94PTNrDVV:l2JPXtWcZWrKy0XoDWrd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7307:CZfARWIJ2EDSegQCAGAwBwRGASASBCjYAAAEEIcAAKwUiMQAMoEoAySiHUIqgNEIhQTQBCSBiJJKiaXEQiCJoPQKBEDAQi4E

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:1818181818000000
Perceptual Hash:cccc3333ccce2333
Difference Hash:323232b232300000
Wavelet Hash:3f3f3f3f18180000
Color Hash:#d22d45

Other Hashes

Crop Resistant:323232b232300000

Scan History

Scan history not available

Unable to load historical scan data