Security Scan Report: alibaba-dronnjbbdvjhbfvevbeerbvfb-yvnk7xuzne.edgeone.app

Submitted: Feb 26, 2026, 6:01:39 PMCompleted: Feb 26, 2026, 6:02:46 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is alibaba-dronnjbbdvjhbfvevbeerbvfb-yvnk7xuzne.edgeone.app and was registered NaN years ago.

Submitted URL: https://alibaba-dronnjbbdvjhbfvevbeerbvfb-yvnk7xuzne.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

Phishing login page on a newly created subdomain; avoid and report.

Risk Factors
Newly created subdomain on a free hosting platform
Credential‑harvesting login form on a brand‑new domain
Impersonation‑style title suggesting a sign‑in page
Lack of any legitimate site content or context
Domain age information unavailable

Details

Page Title

ShopSprout — Sign in

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'alibaba-dronnjbbdvjhbfvevbeerbvfb-yvnk7xuzne.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'alibaba-dronnjbbdvjhbfvevbeerbvfb-yvnk7xuzne'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. Breaking it apart gives 2 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://alibaba-dronnjbbdvjhbfvevbeerbvfb-yvnk7xuzne.edgeone.app/

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
7 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:586 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC2282B742B3247AA957A0B477F65B4B3A64E503C80ADA103F9C57848FC79D6C8A3308

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:1rCa24X/akAswid4A52s3G2BK1rejqNiGi3Qu/GAnfIuaQyWJqJmuoriN9fBxEEa:1rCyoD5XLpdq4kd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10567:YKAUhIQKQaEwA1EQhAKNYDJgFCgAgJMSLASWBCKNXJrsAakogiAAHEgYMKJE0BAwwo0BNIiCQICKIQAJlaJCAQKgQgg30sFg

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:00009cf6f3ffffff
Perceptual Hash:ec1a136d6d92926d
Difference Hash:3870282426040602
Wavelet Hash:000014fcd2f2feff
Color Hash:#87c2c5

Other Hashes

Crop Resistant:3870282426040602

Scan History

Scan history not available

Unable to load historical scan data