ScanMalware.com

Security Scan Report: stickermongolia.pages.dev

Redirected to: https://stickermongolia.pages.dev/stickermongolia.thetemuge.com/TheStickermongolia-prv/TheStickermongolia/assets/fonts/Satoshi-LightItalic-2

Submitted: Mar 18, 2026, 10:31:00 PMCompleted: Mar 18, 2026, 10:32:31 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is stickermongolia.pages.dev and was registered NaN years ago.

Submitted URL: https://stickermongolia.pages.dev/stickermongolia.thetemuge.com/TheStickermongolia-prv/TheStickermongolia/assets/fonts/Satoshi-LightItalic-2.html

Effective URL: https://stickermongolia.pages.dev/stickermongolia.thetemuge.com/TheStickermongolia-prv/TheStickermongolia/assets/fonts/Satoshi-LightItalic-2Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: Error page title: '404 Not Found' 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

stickermongolia.pages.dev

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

news media journalism

(44%)

Domain Information

The domain 'stickermongolia.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'stickermongolia'. The registrable portion 'pages' spans 5 characters with 2 vowels and 3 consonants. Word splitting yields 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stickermongolia.pages.dev/stickermongolia.thetemuge.com/TheStickermongolia-prv/TheStickermongolia/assets/fonts/Satoshi-LightItalic-2.html

Page Load Overview

0.30s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:85 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism44% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
44%
government public service
40%
healthcare medical
36%
phishing scam
34%
cryptocurrency blockchain
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.97.3United States
AS13335Cloudflare, Inc.
31--

Detected Technologies3

HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T179048E773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszO2bMy8Oldr:ehoC9JSqzzbs6o3Sj3gcrsq2eA9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184849:oAAoAAuKSOKKJBDoQVQQEQaERcY01iWQWWICgfGNlSHG7QIKgdCgOIJVFEISUHAgZCQBhv4akEABFqQWFJHAEXEg1IGIIgIc

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:ffffe7e7ffffffff
Perceptual Hash:e666999926666699
Difference Hash:08000c0c00000000
Wavelet Hash:fcfce4e4041c3c3c
Color Hash:#ac5385

Other Hashes

Crop Resistant:08000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data