Security Scan Report: aiman-bahanebaz-zts5ih9tth.edgeone.app

Submitted: Mar 7, 2026, 1:36:58 PMCompleted: Mar 7, 2026, 1:38:27 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is aiman-bahanebaz-zts5ih9tth.edgeone.app and was registered NaN years ago.

Submitted URL: https://aiman-bahanebaz-zts5ih9tth.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 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

Aiman – The Ghost Excuse Student

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'aiman-bahanebaz-zts5ih9tth.edgeone.app' is registered, featuring subdomain 'aiman-bahanebaz-zts5ih9tth'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Tokenizing the label suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aiman-bahanebaz-zts5ih9tth.edgeone.app/

Page Load Overview

0.46s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
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:852 chars
Detector Agreement:100%

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
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C31526FB3149713000363E1F932DA5AEB08C9A2D106DEF53AFD6279BB125C29D3264C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRF/AQLEwIyxz4Vg30141XmXS2YAFRDYTjPOXhoKI0mhOIctCqGCz8pbmuV+zVj:TuDwBv041mCqzMTqbmsVtJwpbmuVyF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1861:AAAAAAACAZAAAEAAACAIAAFBANAAQAEAEAAAAAAAAAAgECACAAAFABkQAAAIgAAAADAAAABgAAAAgAAApAIAAQKAAAAAFAAC

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:ffff800080000000
Perceptual Hash:ea9d8b88888bd9f8
Difference Hash:b131090131010101
Wavelet Hash:ffff8181c101e1e1
Color Hash:#a3ac53

Other Hashes

Crop Resistant:b131090131010101

Scan History

Scan history not available

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