Security Scan Report: t.me

Submitted: Completed: publiccompleted
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 16 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

Domain Name Analysis

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

© Telegram Piper Rockelleill 5 subscribers Shalom guys i hope your days is good but better ing this channel0l0On this channel you will get Piper's photos, updates and more soon CJoin this channel OSt...

Page Load Overview

0.93s
Total Load Time
184 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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:N/A

Other Hashes

Crop Resistant:bab3b2b2b2848080

Scan History

Scan history not available

Unable to load historical scan data