Security Scan Report: sweetestalbina-zcv7cy7cth.edgeone.app

Submitted: Mar 7, 2026, 9:46:25 PMCompleted: Mar 7, 2026, 9:47:43 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is sweetestalbina-zcv7cy7cth.edgeone.app and was registered NaN years ago.

Submitted URL: https://sweetestalbina-zcv7cy7cth.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

hey albina I'm your yakin bhaiya🙈

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'sweetestalbina-zcv7cy7cth.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'sweetestalbina-zcv7cy7cth'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. It segments into 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sweetestalbina-zcv7cy7cth.edgeone.app/

Page Load Overview

1.06s
Total Load Time
5
HTTP Requests
2
Domains
12 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:12,800 chars
Detector Agreement:67%

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
343.152.26.58Singapore
2142.250.201.74United States
52--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B52D80A75B31621606BD1A92FF7B3463334A003750BDE197EEFB3484F8A4E561927DA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:IdT+ajuBy8jWpacOIWSbwLlLf91Q3XN3klmDDV5gFnU5Sjg8:TcoSbB3klODV5gxU50

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14133:IIBEEmJVMpUrbIYBIMIwsFjUNCIDCRq4BEKVJDhAgQIL3GigAtSjIhZDggDciRSYIIW2alNWHEkCAwWlqCYgU0gEAECAASHw

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:3fffffffff3f3f00
Perceptual Hash:85f50e877a87628d
Difference Hash:6000000000c8e0e1
Wavelet Hash:32f2f2f2f2321e00
Color Hash:#87c5ab

Other Hashes

Crop Resistant:6000000000c8e0e1

Scan History

Scan history not available

Unable to load historical scan data