Security Scan Report: disturbing-apricot-5h8a8neywk-kjc286lfo4.edgeone.app

Submitted: Jan 17, 2026, 4:39:24 PMCompleted: Jan 17, 2026, 4:40:42 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 disturbing-apricot-5h8a8neywk-kjc286lfo4.edgeone.app and was registered NaN years ago.

Submitted URL: https://disturbing-apricot-5h8a8neywk-kjc286lfo4.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: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well-established domain
No malicious Indicators of Compromise
No credential or payment collection
Domain age information unavailable

Details

Page Title

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Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain 'disturbing-apricot-5h8a8neywk-kjc286lfo4.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'disturbing-apricot-5h8a8neywk-kjc286lfo4'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://disturbing-apricot-5h8a8neywk-kjc286lfo4.edgeone.app/

Page Load Overview

1.31s
Total Load Time
2
HTTP Requests
1
Domains
600 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:10 chars
Detector Agreement:0%

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

T13CB5188DABEA1162911330794F6F908AF23D802B6509DC597C5CD2D43F94A3946FAFF8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

49152:u+vhcVDQ9R2a4KbyS5obf749FYFjN3izQPuXIyIe:u8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2350422:RwvI0AGQ1ACglkhABIzAgSco8AWnYxGAAS1AFRCzQlwLEVUAiSYcC4BDEkWEGu5izhYYihIQi5sGkAECMKgRQKW1BAoQkRNC

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:7e7e7e66667e7e7e
Perceptual Hash:914cccd333d4cc75
Difference Hash:c4d4d4ccccc4d4c4
Wavelet Hash:003a5a66667e7e3c
Color Hash:#78593a

Scan History

Scan history not available

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