Security Scan Report: telegram.org.ru

Redirected to:
https://tgreef.com/
Site favicon
Submitted: Sep 23, 2026, 2:14:08 AMCompleted: Sep 23, 2026, 2:15:12 AMpubliccompleted

This website contacted 6 IPs in 2 countries across 5 domains to perform 211 HTTP transactions. The main domain is tgreef.com and was registered 14 years ago.

Submitted URL: https://telegram.org.ru

Effective URL:

https://tgreef.com/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 60%

5
Risk Score

Freshly registered Russian Telegram channel/bot catalog with a member login form. No malware, phishing, IoC or credential exfiltration found; risk driven only by domain newness, so moderate caution is warranted.

Risk Factors (5)
Very new domain (20 days old)
Login/password form present on a freshly registered catalog site
Unranked / no domain reputation
Domain name embeds the Telegram brand string (telegram.org.ru) on a third-party catalog
Adult (18+) channel listings present in the directory content
Safety Factors (6)
No Indicators of Compromise or threat-intel matches
No JavaScript malware (YARA) or known-kit roster hits
No network IDS/Suricata alerts
No credential exfiltration — cross-origin form submission identified as legitimate SSO flow
Site presents itself as a Telegram user club/catalog (self-branding), not as the official Telegram service
Rich directory content with many listings and user comments, typical of a community site rather than a bare phishing page
Domain age information unavailable

Details

Page Title

Каталог Telegram каналов и ботов

Scan Type

public

Domain Name Analysis

Within the Russian country-code top-level domain (.ru), 'telegram.org.ru' is registered and includes subdomain 'telegram'. Its registrable label 'org' stretches across 3 characters holding 1 vowel versus 2 consonants. Word splitting yields one word: org. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://telegram.org.ru

Page Load Overview

9.38s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ru
Text Length:14,474 chars
Detector Agreement:80%

Website Classification

Primary Category

adult content94% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
94%
entertainment media
90%
social media network
84%
technology software
49%
news/blog
35%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
365.45.120.128Jõhvi, Ida-Virumaa, Estonia
AS198068Cloud.dog Ou
35104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
35142.251.13.97Google · CDNUnited States
AS15169Google LLC
35142.250.154.97Google · CDNUnited States
AS15169Google LLC
35216.239.34.36Google · CDNUnited States
AS15169Google LLC
35216.239.32.36Google · CDNUnited States
AS15169Google LLC
2116--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A3182A34B04CD0F2120F559DA05F708887A8DBFBE689A51B3B4157F25D2AB8C237617

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:h2GxIM0Rb+PCnC562CkFFFUIM0RFLFuoDjFyFhFqFBIM0RF7oDZRmNFm8EG:bcpy3XUcz5fij6BczuRKJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1778:BQIIAAAABgAAAAAwIAEAAAgAAABABQAAAAASIACEAAQAAQQgEAIACSAgAgQAAABAAAAAQAAACAgEEAAAAAQAAAAAYEADgAAA

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:e3ffc3c3c3dfffd3
Perceptual Hash:e563989b696348c7
Difference Hash:030c0e8e0e360eb6
Wavelet Hash:c1c3c3c3c3c3e3c3
Color Hash:#2d866d

Scan History

Scan history not available

Unable to load historical scan data