Security Scan Report: t.me

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Submitted: Feb 12, 2026, 10:33:48 PMCompleted: Feb 12, 2026, 10:35:07 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 3 domains to perform 11 HTTP transactions. The main domain is t.me and was registered NaN years ago.

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

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Telegram channel appears legitimate with no security concerns.

Safety Factors
Well‑established domain (registered since 2010)
Hosted on a reputable platform (Telegram)
No suspicious content or phishing indicators in OCR text
Meta tags do not claim to be a major brand
Domain age information unavailable

Details

Page Title

t.me

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(58%)

Domain Information

You're looking at domain 't.me' on the Montenegrin country-code top-level domain (.me) without a subdomain. Count 1 characters in 't' containing zero vowels alongside one consonant. It segments into one word: t. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.68s
Total Load Time
11
HTTP Requests
3
Domains
97 KB
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:302 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
news media journalism
57%
government public service
56%
adult content
53%
technology software
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
111--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:tfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz42bMy8Oldv:ahoC9JSqzzbs6o3Sj3gcrs02eAh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184444:A0qIAiMRACWAEDwAuMpDmgROAnABBqtwIGBumRMQeBBrgaiRQANXBqOUARKmkAsHjJIfQUYElAuAEGVGokBKEZNsOHWVxzYL

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:ffcfc3cfffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:3313030f0f0f0f0f
Color Hash:#1f3693

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data