Security Scan Report: gameesqui-app3.com

Submitted: Jan 20, 2026, 8:48:52 AMCompleted: Jan 20, 2026, 8:50:08 AMpubliccompleted
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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 gameesqui-app3.com and was registered NaN years ago.

Submitted URL: https://gameesqui-app3.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Domain age > 180 days
No credential or payment forms
No malicious Indicators of Compromise
Generic page title "Hello World"
Unranked in Cisco Umbrella but no other suspicious signals
Domain age information unavailable

Details

Page Title

Hello World

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'gameesqui-app3.com' is registered and has no subdomain. The registrable portion 'gameesqui-app3' spans 14 characters split between 6 vowels and 6 consonants, along with one digit and 1 hyphen. Splitting it apart reveals five words: game, esqu, i, app, 3. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gameesqui-app3.com/

Page Load Overview

0.26s
Total Load Time
5
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:25 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

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
5104.18.29.81United States
AS13335CLOUDFLARENET
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF315065292211349982904625BEF3A83D329027AB028540B2DCEC188F4CE8708EFEFC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hoCf5uvFmRZv1ECyJfYWFGLnxbFGW7sau1JJSa7oRW7aRWXCunouOvTMOKFId6Jf:+9KOCyJQ+GLrGW7sjSTw2wptI8Id65OS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1593:AAAAAAQAAgAABEgAAABAlEAwAAAAAAAgAAKhAABAAAAEACEAIAAQAAAAIACAAAQAIAAABAACAAAAAAAIAAQAAAiQAAAggKCB

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:fefefee6e6fefefe
Perceptual Hash:d555887722dd8873
Difference Hash:0202120a0a120202
Wavelet Hash:c0c0c8c0263e3e3e
Color Hash:#79cfd2

Other Hashes

Crop Resistant:0202120a0a120202

Scan History

Scan history not available

Unable to load historical scan data