Security Scan Report: dear-apricot-pqppzwtn-dpe3czp0yyj0.edgeone.app

Submitted: Jun 25, 2026, 7:50:14 AMCompleted: Jun 25, 2026, 7:51:21 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is dear-apricot-pqppzwtn-dpe3czp0yyj0.edgeone.app and was registered NaN years ago.

Submitted URL: https://dear-apricot-pqppzwtn-dpe3czp0yyj0.edgeone.app/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low‑risk site; no malicious indicators detected, likely benign.

Risk Factors
Unranked domain
Subdomain on hosting platform with unknown creation date
Safety Factors
No forms or data collection fields
No malicious JavaScript or external links
No IDS or threat‑intel alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'dear-apricot-pqppzwtn-dpe3czp0yyj0.edgeone.app' is registered with subdomain 'dear-apricot-pqppzwtn-dpe3czp0yyj0'. Count 7 characters in 'edgeone' with four vowels and three consonants. Breaking it apart gives two 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://dear-apricot-pqppzwtn-dpe3czp0yyj0.edgeone.app/

Page Load Overview

0.41s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:63 chars
Detector Agreement:100%
Language mismatch: Declared as zh 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

T1E602B5CAEBA305C9A82BC46C2FFF5324222DE057C448CD5DB99E1F548F0518875EB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBZh1RaXQl:KrzhNK/lMHmGgdkqMd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8716:JAUC1nAGBQMQNBccYU2gxAAiSQGkDRQAdFAJSABKyDKQBYEIQMT0wwKACYcCANaCgTicVQCmSEhaBAhBCCIGCCsGOKaWAMED

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:dcfcfce0e0e0c0c0
Perceptual Hash:d89a983c6c6567c3
Difference Hash:3030100000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#81ac53

Other Hashes

Crop Resistant:3030100000000000

Scan History

Scan history not available

Unable to load historical scan data