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Security Scan Report: short-green-xw4kx8pkby-pnxibvtajz.edgeone.app

Submitted: Mar 30, 2026, 4:45:08 PMCompleted: Mar 30, 2026, 4:46:15 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is short-green-xw4kx8pkby-pnxibvtajz.edgeone.app and was registered NaN years ago.

Submitted URL: https://short-green-xw4kx8pkby-pnxibvtajz.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: 92%

0
Risk Score

Personal profile page with no malicious activity; appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Low JavaScript obfuscation, no malware signatures
Content appears to be a personal profile, not brand impersonation
Hosted on a known developer platform (edgeone.app) with no suspicious behavior
Domain age information unavailable

Details

Page Title

Anna Malysheva

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(92%)

Domain Information

The domain name 'short-green-xw4kx8pkby-pnxibvtajz.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'short-green-xw4kx8pkby-pnxibvtajz'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Tokenizing the label suggests 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://short-green-xw4kx8pkby-pnxibvtajz.edgeone.app/

Page Load Overview

0.41s
Total Load Time
2
HTTP Requests
1
Domains
2 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:1,469 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network92% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
92%
documentation technical
84%
adult content
74%
technology software
71%
forum community discussion
71%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11CD143AFE6B30152A48792A17BB3974A7770C0178A0AC5397BAC5398CF41AD5CE7374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBrqqcJncXWFbGANpUp7fJ/U6D/grHyrat9TaOB74PpMq4kD6Z5CLyT:VrfcJncXWFXNpUp7fQDr1KPD4kDGkWT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6589:CgAmprAoi4oCBJAMgSAgIUII0gMIQCC2M8CUhIAihIgIDKIRxiQhAAAA8gETJAiDADvDoAILAFSERE1hFRYVBQkAGQNTSAKE

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:191918013d3d203d
Perceptual Hash:8add88d5a275a276
Difference Hash:f1b1e1c16161e161
Wavelet Hash:3d3d19213d3d213d
Color Hash:#e06cc5

Other Hashes

Crop Resistant:cbcbcbcbe0c3c8c7,f1b1f1c16161e161

Scan History

Scan history not available

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