Security Scan Report: academic-pink-qta4jevrm4-c4c5owgvwm.edgeone.app

Submitted: Mar 4, 2026, 5:43:25 PMCompleted: Mar 4, 2026, 5:44:39 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 1 HTTP transaction. The main domain is academic-pink-qta4jevrm4-c4c5owgvwm.edgeone.app and was registered NaN years ago.

Submitted URL: https://academic-pink-qta4jevrm4-c4c5owgvwm.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

Quick Pizza Montpellier — 30-Minute Delivery Guaranteed

Scan Type

public

Language

🇫🇷

French

(48% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'academic-pink-qta4jevrm4-c4c5owgvwm.edgeone.app' is registered and includes subdomain 'academic-pink-qta4jevrm4-c4c5owgvwm'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. It segments into 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://academic-pink-qta4jevrm4-c4c5owgvwm.edgeone.app/

Page Load Overview

1.13s
Total Load Time
8
HTTP Requests
4
Domains
149 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:48%
Script Type:Latin
HTML Lang Attribute:en
Text Length:10,279 chars
Detector Agreement:67%
Language mismatch: Declared as en but detected as fr

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
2142.250.186.67Singapore
2216.58.206.36SingaporeUnknown
2142.250.201.74SingaporeUnknown
84--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A83933160E0203661D7D0C2B6A2472F3AA4D903D84B63987ABD46E5DFCFEE5DA1725C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:O4rFMaWd5tAZaMJqzcX+IIkRmtPX2uStHswY+2p9i5y0/n0Ri:CUrK2zl/0U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:82908:ICEABEjIqk0RAQksC3REQOAUXQH7CBEAMarVRcIOAREVgBnFQBCwRAZADUaYBBgKEmA8iQG7EiBCAgiQkXWbIyNQSJPMgAGA

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:00000000ffffc3c3
Perceptual Hash:b1033cccc539d3f4
Difference Hash:dcc9d9c9043f2f06
Wavelet Hash:7e000000ffffc7c7
Color Hash:#93761f

Scan History

Scan history not available

Unable to load historical scan data