Security Scan Report: regional-coffee-7y8f7xoero-5o406mjxrj.edgeone.app

Submitted: Mar 8, 2026, 7:52:32 PMCompleted: Mar 8, 2026, 7:53:54 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is regional-coffee-7y8f7xoero-5o406mjxrj.edgeone.app and was registered NaN years ago.

Submitted URL: https://regional-coffee-7y8f7xoero-5o406mjxrj.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

ANVIKSHA VISION PRO

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(50% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'regional-coffee-7y8f7xoero-5o406mjxrj.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'regional-coffee-7y8f7xoero-5o406mjxrj'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. Breaking it apart gives 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://regional-coffee-7y8f7xoero-5o406mjxrj.edgeone.app/

Page Load Overview

0.63s
Total Load Time
10
HTTP Requests
3
Domains
222 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:hi
Text Length:830 chars
Detector Agreement:100%
Language mismatch: Declared as hi but detected as en

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
4142.251.141.106Singapore
343.152.26.58Singapore
3142.251.141.131SingaporeUnknown
103--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18913C77622B2103974A3A5697B664BAF3260E007D80BC9687EDC55C4CFCBEE1CC766D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9pUzxQ/cDk+nDpzjVzLs6pibFOle2wBvREqGo4cTL:AzxEcDkM9zABL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43027:TUQPDIgASBkgRTGqR0JGChqMkQg0aawABWGhAJIQmFQyCrsOEnoEAgBNgERCAYIEJGELoWACWVqJFBgOIFEhxakA1I+ExBRW

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:00183c7e3c1800ff
Perceptual Hash:cc136e66996e8c33
Difference Hash:71f0f0f0f0f07111
Wavelet Hash:003c7e7e3e3800ff
Color Hash:#2d8670

Other Hashes

Crop Resistant:71f0f0f0f0f07111

Scan History

Scan history not available

Unable to load historical scan data