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Security Scan Report: singhania2-tnche993b3.edgeone.app

Redirected to:
https://t.me/+kQ2qOdi9WSk0MDZl
Submitted: Apr 3, 2026, 7:54:56 AMCompleted: Apr 3, 2026, 7:56:05 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 8 domains to perform 19 HTTP transactions. The main domain is t.me and was registered NaN years ago.

Submitted URL: https://singhania2-tnche993b3.edgeone.app/

Effective URL: https://t.me/+kQ2qOdi9WSk0MDZlRedirected

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

Moderate risk due to unknown subdomain age and low reputation; no direct malicious activity observed.

Risk Factors
Unknown subdomain age – could be newly created for phishing or scam
Low domain reputation (ranked > 100k) while presenting brand‑style marketing
Brand‑style promotion (cricket predictions) on a generic hosting subdomain
Safety Factors
No login or payment forms
No malicious Indicators of Compromise matches
No JavaScript malware or suspicious behavior detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Telegram: Join Group Chat

Scan Type

public

Language

🇺🇸

English

(62% confidence)

Category

social media network

(71%)

Domain Information

The domain 'singhania2-tnche993b3.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'singhania2-tnche993b3'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Breaking it apart gives 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-tnche993b3.edgeone.app/

Page Load Overview

1.18s
Total Load Time
13
HTTP Requests
6
Domains
146 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:62%
Script Type:Latin
Text Length:273 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
71%
gambling betting
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3192.178.183.94Germany
AS15169
2149.154.167.99United States
AS32934
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2149.154.171.236Unknown
AS396982
243.152.26.58Singapore
AS139341ACE
2142.251.14.95UnknownUnknown
136--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15832FBE35760880A21ABC0557D2FF68DB522E4D7F0291D80F2DC89AB9FD1ED1C823D56

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:8ozgXtfwgXtN3S8PSuSqugxuOoRnigni6U3qV0OKPGCgXtz1pL/:8+gXKgXDSFuVVoPOqVbeRgXp/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11246:OJTQz6CGADVBIwIcGgiiBgBIREDQgLCyUGxEmiyKARSDojZwxEBGlBIqN4AEKwgSE4hQwgWYcPkgoRSFBQJowEYAOBQAZA8A

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:7f1f1f1918c0f0f0
Perceptual Hash:8c9cf2e3c1c9e1e1
Difference Hash:b2bbb2b2b2848080
Wavelet Hash:7f1f1f1918c0f0f0
Color Hash:#e06ca2

Other Hashes

Crop Resistant:b2bbb2b2b2848080

Scan History

Scan history not available

Unable to load historical scan data