ScanMalware.com

Security Scan Report: singhania2-8xiau26u2u.edgeone.app

Redirected to:
https://t.me/+clcz3cK7XQIwOTI1
Submitted: Apr 29, 2026, 10:27:06 PMCompleted: Apr 29, 2026, 10:28:21 PMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 4 countries across 8 domains to perform 1 HTTP transaction. The main domain is t.me and was registered NaN years ago.

Submitted URL: https://singhania2-8xiau26u2u.edgeone.app/

Effective URL: https://t.me/+clcz3cK7XQIwOTI1Redirected

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

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

The site impersonates Telegram on an unranked edgeone.app subdomain with unknown age, indicating a high‑risk phishing or scam page.

Risk Factors
Brand impersonation (brand name mismatch)
Unknown subdomain age on a hosting platform
Low domain reputation ranking
Redirect to external Telegram invite link
Safety Factors
Established domain (5823 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Telegram: Join Group Chat

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

social media network

(80%)

Domain Information

Within the application-focused generic top-level domain (.app), 'singhania2-8xiau26u2u.edgeone.app' is registered with subdomain 'singhania2-8xiau26u2u'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. It segments into 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://singhania2-8xiau26u2u.edgeone.app/

Page Load Overview

1.47s
Total Load Time
13
HTTP Requests
6
Domains
148 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:237 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
80%
download file sharing
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3149.154.171.236Amsterdam, North Holland, Netherlands
AS62014Telegram Messenger Inc
243.152.26.58Singapore
AS139341ACE
2149.154.167.99Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
2142.251.13.95United States
AS15169Google LLC
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2142.251.110.94United States
AS15169Google LLC
136--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C53209E34770881922EB8066FE6BB59CB452E4C7F1556D40B2ACCE5A9FC1EC0D823E91

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:8oBZUEZUNS4PSuSqugxuOoRnigni6U3qV0OKPGBXZUa1JbN9:8auEuNSpuVVoPOqVbeeXuuN9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11110:JpkQYAlUHMCKQCYaCTAhSE80UxhETZAFSjgEHvgmgCS6LW+BSDwjCZCGG9EAAjDADABNIkSA5Fg+I4KQCDjAFYBEAIAkApAM

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:7f1f1f1900e0f0f0
Perceptual Hash:8c9cf6e3c1c9c1e1
Difference Hash:babbb2b2b2808080
Wavelet Hash:7f1f1f1b00e0f0f0
Color Hash:#e0c76c

Other Hashes

Crop Resistant:babbb2b2b2808080

Scan History

Scan history not available

Unable to load historical scan data