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Security Scan Report: supporting-apricot-pcppqabjon-ubn3abcsrc.edgeone.app

Submitted: Feb 9, 2026, 11:09:04 PMCompleted: Feb 9, 2026, 11:11:49 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 supporting-apricot-pcppqabjon-ubn3abcsrc.edgeone.app and was registered NaN years ago.

Submitted URL: https://supporting-apricot-pcppqabjon-ubn3abcsrc.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

Site appears legitimate with no security threats, but it is currently down.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No login or payment forms
No external links or scripts detected
Domain age information unavailable

Details

Page Title

supporting-apricot-pcppqabjon-ubn3abcsrc.edgeone.app

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(31%)

Domain Information

The domain 'supporting-apricot-pcppqabjon-ubn3abcsrc.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'supporting-apricot-pcppqabjon-ubn3abcsrc'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Splitting it apart reveals two 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://supporting-apricot-pcppqabjon-ubn3abcsrc.edgeone.app/

Page Load Overview

42.84s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:69 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism31% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
31%
healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszw2bMy8Old2:6hoC9JSqzzbs6o3Sj3gcrss2eA8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184651:BJFFCAxRiAwYGA0CCVFYgMzTdASXqAyaAJijmVEJBQCELQZiLUsFgpBEZoEFhgKMIBGQgKpBhiiAC1wAoji4MLQaKBKoYQGI

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:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#e0726c

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data