Security Scan Report: t.me

Submitted: Jan 5, 2026, 10:06:31 AMCompleted: Jan 5, 2026, 10:11:50 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 9 HTTP transactions. The main domain is t.me and was registered NaN years ago.

Submitted URL: https://t.me/officalpiperrockelle

The Cisco Umbrella rank of the primary domain is #13,276 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Telegram: View @officalpiperrockelle

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

social media network

(75%)

Domain Information

You're looking at domain 't.me' on the Montenegrin country-code top-level domain (.me) and has no subdomain. The second-level label 't' is 1 characters long holding zero vowels versus 1 consonant. Tokenizing the label suggests 1 word: t. Average segment length settles at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://t.me/officalpiperrockelle

Page Load Overview

0.93s
Total Load Time
9
HTTP Requests
3
Domains
59 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
Text Length:373 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network75% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
75%
entertainment media
44%
cryptocurrency blockchain
42%
news media journalism
39%
healthcare medical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
4149.154.175.205Amsterdam, North Holland, Netherlands
AS59930Telegram Messenger Inc
92--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12732F7D3937084593AABC155BD2BB5A9B112E4C7F0186950B6EC8A17DFC3EC19833E46

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:coMUiS3ZUiSXfSMPSuSqugxuOoRnigni6U3qV0OKPGrKUiS9O9X9R:c5UVJUVvS1uVVoPOqVbeNUV2R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11690:bA4gUgBysJE7IGSyIQxUpJ0QRQHMBB0vEFkGgCAiNNAwDDFACIUMDUoIaBzMU2AAJAsRSAMudNgYQKwA5MAnNQDIdGMAIEgb

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:7f1f1f1818c0e0f0
Perceptual Hash:8c9cf3e3c1c5e1c1
Difference Hash:bab3b2b2b2848080
Wavelet Hash:7f1f1f1918c0f0f0
Color Hash:#40bfac

Other Hashes

Crop Resistant:bab3b2b2b2848080

Scan History

Scan history not available

Unable to load historical scan data