Security Scan Report: 9food-tu11mn51w7.edgeone.app

Submitted: Feb 5, 2026, 1:50:53 AMCompleted: Feb 5, 2026, 1:52:25 AMpubliccompleted
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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 9food-tu11mn51w7.edgeone.app and was registered NaN years ago.

Submitted URL: https://9food-tu11mn51w7.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

Site appears to impersonate Apple on a low‑ranking domain; likely phishing – avoid.

Risk Factors
Brand impersonation (Apple) on a non‑official, low‑ranking domain
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

The domain name '9food-tu11mn51w7.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain '9food-tu11mn51w7'. Count 7 characters in 'edgeone' holding 4 vowels versus three consonants. Segmentation suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://9food-tu11mn51w7.edgeone.app/

Page Load Overview

8.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:780 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
54%
adult content
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14AD3BF80EFF42FECA01E8654877DBB3B6A256003A48D529871DE0DB1AF49D49E4FB075

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wSqOb7L7LJpDjfvjzVVn3f/11Tz/vZ5HHxhDTPfvfbrzDTDzDtNP/CShx7rzzr7N:rb7L7LJpDjfvjzVVn3f/11Tz/vZ5HHxr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:139058:UDH4APQyiNFAGIKCDgEOkAMAaEAIVrFhAgCIAQI7CDOSgQM8kIUBCDAhVbQAZIimgRACAmIrDKUg8CXoZwAjoSQAJxUEHiwH

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:1c1c1c1c1c1c1c1c
Perceptual Hash:9a78343815d5c7c7
Difference Hash:b030313131313131
Wavelet Hash:dcdcbc3c3c1c1c1c
Color Hash:#2d4386

Other Hashes

Crop Resistant:b030313131313131

Scan History

Scan history not available

Unable to load historical scan data