Security Scan Report: internal-amber-yb6gyxo2zg-7ox0f9qizm.edgeone.app

Submitted: Apr 23, 2026, 10:46:33 PMCompleted: Apr 23, 2026, 10:47:55 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 11 HTTP transactions. The main domain is internal-amber-yb6gyxo2zg-7ox0f9qizm.edgeone.app and was registered NaN years ago.

Submitted URL: https://internal-amber-yb6gyxo2zg-7ox0f9qizm.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: 75%

5
Risk Score

The site shows moderate risk due to an unknown‑age subdomain on a low‑rank hosting platform, but lacks malicious indicators.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking
Inability to retrieve page content
Safety Factors
No credential or payment forms present
No malicious JavaScript or network indicators detected
Domain age information unavailable

Details

Page Title

مجلة كفاياتي - العدد الأول

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

government public service

(61%)

Domain Information

Domain 'internal-amber-yb6gyxo2zg-7ox0f9qizm.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'internal-amber-yb6gyxo2zg-7ox0f9qizm'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. It segments into 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://internal-amber-yb6gyxo2zg-7ox0f9qizm.edgeone.app/

Page Load Overview

1.45s
Total Load Time
11
HTTP Requests
3
Domains
2.2 MB
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:1,297 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service61% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
61%
adult content
60%
forum community discussion
28%
education learning
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
3192.178.183.94United States
AS15169Google LLC
3192.178.183.95United States
AS15169Google LLC
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5D523704DC73A67811A5AB4623A6B1D9BA059BF41C0D88272FC7FF34F95F10A906E1E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:UzXg7ye2QqZVwPB6KBf0VsWmQPvJ8gmNbE80ocyniYRB+GswvzXQZcJhiTQZkIUB:qBMd0h3CgmhyyCSzRhZ19qTIzvND9+dX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2889386:7QQagawkR6AggEAAgARQHEAAh0BQBjoRCCEOgyAQVQocAAzBJGYYhBBoGc9jAQDmqECZPBhpUJ8INAl5QYRcQQCDgwoNwDKB

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:ffffff3d18180000
Perceptual Hash:88e773899336cc4d
Difference Hash:cd61b5e5f3b14d99
Wavelet Hash:ffffff1d18180000
Color Hash:#93651f

Scan History

Scan history not available

Unable to load historical scan data