Security Scan Report: fanoos-elzekr-sgjvoj9buq.edgeone.app

Submitted: Feb 21, 2026, 10:34:21 PMCompleted: Feb 21, 2026, 10:35:44 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is fanoos-elzekr-sgjvoj9buq.edgeone.app and was registered NaN years ago.

Submitted URL: https://fanoos-elzekr-sgjvoj9buq.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: 92%

0
Risk Score

No malicious activity detected; site appears safe.

Safety Factors
No forms or data collection elements present
No malicious Indicators of Compromise
Hosted on a reputable platform (edgeone.app)
No network IDS alerts
Domain age information unavailable

Details

Page Title

fanoos-elzekr-sgjvoj9buq.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

You're looking at domain 'fanoos-elzekr-sgjvoj9buq.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'fanoos-elzekr-sgjvoj9buq'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. Tokenizing the label suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fanoos-elzekr-sgjvoj9buq.edgeone.app/

Page Load Overview

2.20s
Total Load Time
3
HTTP Requests
2
Domains
15 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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15F048F773296063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:4fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszy2bMy8OldC:zhoC9JSqzzbs6o3Sj3gcrsO2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184571:ggAAuNKEJCAgB+IUotWCiCQNgoA1eDWAHJQsEBASBgAAEQIEECMZkC4ABNj1AAhSQhBcCKBt1AAAAmTAC9kBACxkOWCoBZGL

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc676363
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#c58b87

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data