Security Scan Report: fmk-ru-geo-platform-6.gdemoideti.ru

Submitted: Dec 28, 2025, 7:07:41 PMCompleted: Dec 28, 2025, 7:08:31 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is fmk-ru-geo-platform-6.gdemoideti.ru and was registered NaN years ago.

Submitted URL: https://fmk-ru-geo-platform-6.gdemoideti.ru

The Cisco Umbrella rank of the primary domain is #129,865 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>1 year)
Low ranking does not indicate malicious intent without other signs
No external links or redirects
No credential or payment collection fields
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'fmk-ru-geo-platform-6.gdemoideti.ru' uses the Russian country-code top-level domain (.ru), featuring subdomain 'fmk-ru-geo-platform-6'. The registrable portion 'gdemoideti' spans 10 characters split between 5 vowels and 5 consonants. Word splitting yields four words: g, demo, ide, ti. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fmk-ru-geo-platform-6.gdemoideti.ru

Page Load Overview

0.88s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:18 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
179.143.24.140Moscow, Moscow, Russia
AS50340JSC Selectel
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4C080BAC411450D6B3015F8CA8675545E08530DD1311F5075D4E195E544DA784432DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYfpEZuUeZ2Aoqa:qzxV/5VHHoB96D3ne1k9YC5eZI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c1359b5d48c30abd84bc357b2b9f9c8c

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:7fffffffffffffff
Perceptual Hash:87070f0f0f0f0f1f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#87c5ae

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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