Security Scan Report: crooked-plum-ffx4wuikru-lnam5xqxf4.edgeone.app

Submitted: Mar 6, 2026, 6:24:55 AMCompleted: Mar 6, 2026, 6:26:35 AMpubliccompleted
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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 crooked-plum-ffx4wuikru-lnam5xqxf4.edgeone.app and was registered NaN years ago.

Submitted URL: https://crooked-plum-ffx4wuikru-lnam5xqxf4.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

Love Theme Slides - Sis

Scan Type

public

Language

🇺🇸

English

(44% confidence)

Category

unknown

(0%)

Domain Information

The domain 'crooked-plum-ffx4wuikru-lnam5xqxf4.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'crooked-plum-ffx4wuikru-lnam5xqxf4'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Breaking it apart gives 2 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://crooked-plum-ffx4wuikru-lnam5xqxf4.edgeone.app/

Page Load Overview

6.41s
Total Load Time
2
HTTP Requests
1
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:44%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:44%
Script Type:Latin
HTML Lang Attribute:ur
Text Length:680 chars
Detector Agreement:100%
Language mismatch: Declared as ur 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
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A4211F285531425852B67B3369E0B0929B0E243F307CC29B7FD2649DF82D589B937B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:xrmI89Prh4noqpaDMqM5rSQlbWRNkDG6MmQl8E2VY+4PqSNsWjiN6VjkLCtUeM3/:xrz+zDgWfkDayvVY+4PqSNsWjiN6VjkB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12017:ZoRKEKCQQKJFVFKAgEFCrAAEBGV+B4RMUQoBAA4QpppEBYlRhUYkAFxdUiQQDJoAhqApUAgeAMmMlQBqIYxEm4CAgIGDABwA

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:183c3c3c3c3c3c18
Perceptual Hash:d9cb2731d8c6268d
Difference Hash:f0f0e8f0f0e8f0f0
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#3e931f

Other Hashes

Crop Resistant:f0f0e8f0f0e8f0f0

Scan History

Scan history not available

Unable to load historical scan data