Security Scan Report: prior-chocolate-okskmwkdxj-jiz9tmnds6.edgeone.app

Submitted: Mar 7, 2026, 4:40:43 AMCompleted: Mar 7, 2026, 4:42:04 AMpubliccompleted
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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 prior-chocolate-okskmwkdxj-jiz9tmnds6.edgeone.app and was registered NaN years ago.

Submitted URL: https://prior-chocolate-okskmwkdxj-jiz9tmnds6.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Confirmed credential‑phishing scam on a brand‑new subdomain with a password‑only login form.

Risk Factors
New subdomain (age 0 days) with login form
Password‑only field (credential harvesting pattern)
Cross‑origin data exfiltration to unknown server
Low domain reputation (rank > 100k)
Subdomain on free hosting platform
Domain age information unavailable

Details

Page Title

WiFi الشبكة الآمنة - تسجيل الدخول

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

documentation technical

(53%)

Domain Information

The domain 'prior-chocolate-okskmwkdxj-jiz9tmnds6.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'prior-chocolate-okskmwkdxj-jiz9tmnds6'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Splitting it apart reveals 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://prior-chocolate-okskmwkdxj-jiz9tmnds6.edgeone.app/

Page Load Overview

0.75s
Total Load Time
2
HTTP Requests
1
Domains
6 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:100 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical53% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
53%

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

T1EFB175E7247304107B43F4A0ABF757192935D803954BCC653FAD2298CF9AB89E497BB8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:b9IGGMl/8DVs90wp86+Dqhf8a7wIBqMNJlbub/CZGIzerSdNXZfiXZMNj:hIGGMN8xs6wpn+Dqhka7wIBqMNJFuTCj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5428:hEMFqQgSBAMqEAwUCQA0QSAEgBIiCQLAAARQrxC6JQAAAAGDgASAIAIHECNAAokwISAAgSAAAALGClKUhBgA1AQYKBAACSoA

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:c0c0989818180000
Perceptual Hash:dd9926669999cc8c
Difference Hash:000c323232320000
Wavelet Hash:f8f8f8f8f8d8c080
Color Hash:#2dd24e

Scan History

Scan history not available

Unable to load historical scan data