Security Scan Report: selfish-apricot-hwy5bamuol-dwbzv9q4o5.edgeone.app

Submitted: Feb 16, 2026, 3:01:58 PMCompleted: Feb 16, 2026, 3:03:31 PMpubliccompleted
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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 selfish-apricot-hwy5bamuol-dwbzv9q4o5.edgeone.app and was registered NaN years ago.

Submitted URL: https://selfish-apricot-hwy5bamuol-dwbzv9q4o5.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 security concerns detected; site appears legitimate but currently unreachable.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment collection forms
No malicious Indicators of Compromise or JavaScript malware detected
No external links or redirects
Domain age information unavailable

Details

Page Title

selfish-apricot-hwy5bamuol-dwbzv9q4o5.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

The domain 'selfish-apricot-hwy5bamuol-dwbzv9q4o5.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'selfish-apricot-hwy5bamuol-dwbzv9q4o5'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Breaking it apart gives two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://selfish-apricot-hwy5bamuol-dwbzv9q4o5.edgeone.app/

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:843 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
44%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszM2bMy8OldY:RhoC9JSqzzbs6o3Sj3gcrsY2eAG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:kbDkSt6YCAOmgGkkRLoB4AAEAsiXICz0H7EAA4KIgUQImJBE6kABgCYCQlaHCLyWBSIkzaEBGiABSRU0MxEBTYLDCcp0A0Ah

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:3c1c00040f0f0f0f
Color Hash:#783a72

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data