Security Scan Report: discovermongolia.mn

Redirected to: https://www.discovermongolia.mn/

Submitted: Mar 8, 2026, 3:40:58 PMCompleted: Mar 8, 2026, 3:42:16 PMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 10 domains to perform 96 HTTP transactions. The main domain is discovermongolia.mn and was registered NaN years ago.

Submitted URL: https://discovermongolia.mn

Effective URL: https://www.discovermongolia.mn/Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 503 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Mongolia Travel & Tours | Discover Mongolia

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(74%)

Domain Information

The domain 'discovermongolia.mn' uses the Mongolian country-code top-level domain (.mn). The core label 'discovermongolia' covers 16 characters with 7 vowels and nine consonants. Segmentation suggests two words: discover, mongolia. Median word length is eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://discovermongolia.mn

Page Load Overview

7.29s
Total Load Time
88
HTTP Requests
10
Domains
42.5 MB
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:10,888 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism74% confidence
Type: static
Method: ml+structural

All Detected Categories

travel tourism
74%
social media network
61%
adult content
50%
blog personal website
38%
finance banking
31%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16172.217.20.136Singapore
918.245.31.66United States
AS16509Amazon.com, Inc.
9157.230.42.114Singapore, Singapore
AS14061DigitalOcean, LLC
965.9.175.114Unknown
9104.21.56.32United States
AS13335Cloudflare, Inc.
9136.143.189.124United States
AS2639ZOHO
9157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
918.66.102.53UnknownUnknown
9185.111.111.154UnknownUnknown
889--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DFD4E5E76014E8D5D4C35C8E37FF1D77658BC0E98AC259BCE1C8DE004AA7478AF66A90

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RkdXm3gJ1jFXuItbnP/es3kDUrKSjCOWwBRVPhFQa9IEtIO7OsJX4IFujoY9:Rz3gJ1jFXuU/eeKSjCW/GmJX4IFM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:620002:BpBkgZw8DBQj0IBalz8AENuISAAJKIjogHUCUcASFBSGYa6LQVpgARlNBCh1kRCFEDLGifE2DgxgiQYzeRgoQqBBtKx9QCS2

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:ff00003c18002410
Perceptual Hash:a2d0f2f2d8f2c0f2
Difference Hash:8c13157131294d31
Wavelet Hash:ff31393d3d3d0101
Color Hash:#931f4c

Other Hashes

Crop Resistant:8c13157131294d31

Scan History

Scan history not available

Unable to load historical scan data