Security Scan Report: t.me

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Submitted: Dec 28, 2025, 3:21:29 PMCompleted: Dec 28, 2025, 3:21:47 PMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 5 domains to perform 0 HTTP transactions. The main domain is t.me and was registered NaN years ago.

Submitted URL: https://t.me/giftfest_bot/app?startapp=UkM9MDAwMDA4cWRBSjAmUlM9aW52aXRlX2ZyaWVuZA%3D%3D

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

The link points to an official Telegram bot page with no security concerns.

Safety Factors
Official Telegram domain (t.me)
Well‑established domain age (>5 years)
No suspicious forms or redirects
Domain age information unavailable

Details

Page Title

Telegram: Launch @giftfest_bot

Scan Type

public

Language

🇺🇸

English

(41% confidence)

Category

social media network

(96%)

Domain Information

Within the Montenegrin country-code top-level domain (.me), 't.me' is registered. The second-level label 't' is 1 characters long holding 0 vowels versus 1 consonant. Segmentation suggests 1 word: t. Median word length is one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://t.me/giftfest_bot/app?startapp=UkM9MDAwMDA4cWRBSjAmUlM9aW52aXRlX2ZyaWVuZA%3D%3D

Page Load Overview

2.98s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:41%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:41%
Script Type:Latin
Text Length:271 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network96% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
96%
entertainment media
83%
technology software
68%
cryptocurrency blockchain
42%
government public service
32%

Detected Features

No structural features detected

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D3229E793A0444515E7847ABE2FF18CB513E497F0152D80F6ECCA2697C3ED39423909

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:JoefSkmjStivGFMPSuSqugxuOoRnigni6U3qV0OKPGotSU/YcuswOK:JbtyS9uVVoPOqVbe7EeK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11864:AZ2SAsmUCIGISAYGGKBGAEkDwxDcDQCES3AwJawnIACKBEOTSSUIFFSOM9VEAjCCXA0MSyCCoBIvJQCSKRDiFYFEBCAmjiBA

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:7f1f1f1818c0f0f0
Perceptual Hash:8c9cf3e3c1c1e1e1
Difference Hash:b2b3b2b2b2848080
Wavelet Hash:7f1f1f1918c0f0f0
Color Hash:#94d279

Other Hashes

Crop Resistant:b2b3b2b2b2848080

Scan History

Scan history not available

Unable to load historical scan data