Security Scan Report: geodating-kjwa9n4by3.edgeone.app

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Submitted: May 18, 2026, 7:17:08 PMCompleted: May 18, 2026, 7:19:08 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 20 HTTP transactions. The main domain is geodating-kjwa9n4by3.edgeone.app and was registered NaN years ago.

Submitted URL: https://geodating-kjwa9n4by3.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Moderate risk due to unknown subdomain age and low reputation, but no direct malicious activity observed.

Risk Factors
Low domain reputation (rank > 100K)
Unknown subdomain age (could be brand‑new)
Hosted on a generic developer subdomain platform
Unclear purpose of page (gibberish text)
Safety Factors
No login or payment forms
No malicious Indicators of Compromise
No JavaScript malware patterns detected
No network IDS alerts
No credential exfiltration behavior
Domain age information unavailable

Details

Page Title

بطاقة خروج — مقياس الزمن الجيولوجي

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

education learning

(96%)

Domain Information

The domain name 'geodating-kjwa9n4by3.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'geodating-kjwa9n4by3'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Breaking it apart gives 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://geodating-kjwa9n4by3.edgeone.app/

Page Load Overview

42.49s
Total Load Time
12
HTTP Requests
3
Domains
268 KB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:80%
Script Type:Arabic
HTML Lang Attribute:ar
Text Length:1,159 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning96% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
96%
adult content
96%
download file sharing
92%
government public service
89%
forum community discussion
80%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.178.170.95United States
AS15169Google LLC
4142.251.14.94United States
AS15169Google LLC
4101.33.10.10Frankfurt am Main, Hesse, Germany
123--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1756395E22A2700313517DD69A7E3275EE131AD03D00AEE3539CD1254CFCA7D5DAA67B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4ZHZPBcr7N0ocuer7Cf9y7lUxJTeSmJTiJJm4gPNic9gF83:MHPcPty7lUxJTTM4gPNiC3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66729:NAim0wCyAAEA4gjIJSgQEpEuHANBTFCBEkhAkMgDSiFYQIb1h7hpBGGAigHUGEM92LIDiCAiSCDATKIAjEUCAM6FsCBQICHi

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:00003c3c3c3c1c00
Perceptual Hash:8f0d303034cfcfce
Difference Hash:b7f16969696979bf
Wavelet Hash:001c3c3d3d3f3f07
Color Hash:#798fd2

Scan History

Scan history not available

Unable to load historical scan data