Security Scan Report: tgvse.ru

Redirected to:
https://tgvse.com/
Site favicon
Submitted: Sep 23, 2026, 4:34:11 PMCompleted: Sep 23, 2026, 4:35:09 PMpubliccompleted

This website contacted 111 IPs in 10 countries across 81 domains to perform 258 HTTP transactions. The main domain is tgvse.com and was registered 29 years ago.

Submitted URL: https://tgvse.ru

Effective URL:

https://tgvse.com/
Redirected

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Self-branded Telegram channel catalog on tgvse.com with only a search form; no credential/payment fields, no Indicators of Compromise, no malware or phishing signatures. Low risk; caution due to 18+/prize-bot content.

Risk Factors
Content mixes an adult-content/gambling-adjacent bent (18+ AI chat bots, gift/random-prize bots) — low-trust subject matter
Final domain tgvse.com has no published age or reputation data (unknown, not negative)
Safety Factors
Site's own brand (tgvse) matches the domain — self-branding, not typosquatting
Zero password, disguised-password or payment fields; the single form is a channel search
No Indicators of Compromise, no YARA malware patterns, no credential exfiltration, no cross-origin credential forms
Domain age information unavailable

Details

Page Title

Каталог телеграм каналов

Scan Type

public

Domain Name Analysis

Domain 'tgvse.ru' uses the Russian country-code top-level domain (.ru) while skipping any subdomain. The core label 'tgvse' covers 5 characters with 1 vowel and four consonants. Tokenizing the label suggests two words: tgvs, e. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tgvse.ru

Page Load Overview

3.78s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:60%
Script:Cyrillic
Direction:ltr

Detection Details

Text Length:39,125 chars
Detector Agreement:60%

Website Classification

Primary Category

adult content56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
56%
news media journalism
54%
social media network
50%
corporate
25%
forum
20%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3862.171.229.216Naaldwijk, South Holland, Netherlands
AS207728EUROHOSTER Ltd.
2104.192.42.144Naaldwijk, South Holland, Netherlands
AS207728EUROHOSTER Ltd.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
277.88.55.88Yandex · CLOUDRussia
AS13238YANDEX LLC
2142.250.154.97Google · CDNUnited States
AS15169Google LLC
294.131.81.186Kazakhstan
AS208795Cloud Services Kazakhstan LLP
2104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
25.255.255.77Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
258111--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F27152E34E66081D1724305ADFD1B48A8929557BDD0CDC40B4AD007BAFE9F98D1737AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:0IZKa85zwxuLY08a85zwXZCGNU27h6flFJ7U06fuFJCqcsmU48JBenmI0wfBJmb5:0nkbkcQ7MflFJ7UbfuFJldJuKbGTE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3795:gEAAE2AwqAAhAIFACAAkEAFIAshAAAGJUDAAAFUIgNAggAGAUAAAEiEACAAAQkEACSsAQwwkQEQAAChgQFABQAACwQAASiAA

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:e18f8f87c79793ff
Perceptual Hash:bc33c762e338c334
Difference Hash:ca2a2c0e2c242666
Wavelet Hash:e2868e8387cf83d3
Color Hash:#c5c487

Other Hashes

Crop Resistant:ca2a2c0e2c242666

Scan History

Scan history not available

Unable to load historical scan data