Security Scan Report: coming-apricot-543jxsw3ej-z7y8n9r1k6.edgeone.app

Submitted: Jan 18, 2026, 11:26:29 PMCompleted: Jan 18, 2026, 11:27:41 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 coming-apricot-543jxsw3ej-z7y8n9r1k6.edgeone.app and was registered NaN years ago.

Submitted URL: https://coming-apricot-543jxsw3ej-z7y8n9r1k6.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

Legitimate site with no detected threats.

Safety Factors
Established domain (>365 days)
No forms collecting sensitive data
No malicious Indicators of Compromise
No redirects or URL manipulation detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

entertainment media

(62%)

Domain Information

Within the application-focused generic top-level domain (.app), 'coming-apricot-543jxsw3ej-z7y8n9r1k6.edgeone.app' is registered and includes subdomain 'coming-apricot-543jxsw3ej-z7y8n9r1k6'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. It segments into 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://coming-apricot-543jxsw3ej-z7y8n9r1k6.edgeone.app/

Page Load Overview

0.54s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:692 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

entertainment media62% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
62%
documentation technical
56%
healthcare medical
41%
adult content
38%
technology software
33%

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

T12492B681DFE01BDCB41B84449F6D7B3ABA289053E44D84CCB4AE0EB09F5948AF4AB175

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBMhZhnh1hPhRhXhVhPh7hlhXhLh1Ra+:KrzhNK/lMHmGgdkqtTJPBT53R9XJ9d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20298:ACc4y/UQLCMcOwAGWkSghAIgqAGmTJkgJAINMQBJ4DERA8OMIoA04wBBQZhGYIYBxTwqVRJmxAQCeCLrIUBGGCYAPDyEAAEH

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:9c9c1c1c1c1c1c3c
Perceptual Hash:daec2c7c2831e363
Difference Hash:3038585858585878
Wavelet Hash:dcfcbc3c1c1c1c1c
Color Hash:#7f2dd2

Other Hashes

Crop Resistant:3038585858585878

Scan History

Scan history not available

Unable to load historical scan data