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Security Scan Report: lexical-apricot-r3fplzdfos-j9bf92cwcp.edgeone.app

Submitted: Feb 21, 2026, 11:05:10 PMCompleted: Feb 21, 2026, 11:06:25 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 lexical-apricot-r3fplzdfos-j9bf92cwcp.edgeone.app and was registered NaN years ago.

Submitted URL: https://lexical-apricot-r3fplzdfos-j9bf92cwcp.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: 92%

0
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Hosted on a known platform (edgeone.app) with no suspicious activity
Low JavaScript obfuscation score
No cross‑origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

lexical-apricot-r3fplzdfos-j9bf92cwcp.edgeone.app

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(40%)

Domain Information

The domain 'lexical-apricot-r3fplzdfos-j9bf92cwcp.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'lexical-apricot-r3fplzdfos-j9bf92cwcp'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 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://lexical-apricot-r3fplzdfos-j9bf92cwcp.edgeone.app/

Page Load Overview

0.67s
Total Load Time
2
HTTP Requests
1
Domains
7 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:170 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism40% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
40%
adult content
35%
real estate property
32%
healthcare medical
30%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0049F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszC2bMy8OldQ:thoC9JSqzzbs6o3Sj3gcrsO2eAe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:WrQPANUABmEORSFngAAwpqJzAIeEhCTMwBn5QaLAtFQWgpAgUxsAAg5FC7AQAUGsBhSuSxpwCLJojwQqIEpAHJJCTgMBYkgF

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:3f1f0307f0f0f0f0
Color Hash:#87c5bd

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data