Security Scan Report: encouraging-amber-ynq2dvbobg-c7bpwe7a0n.edgeone.app

Submitted: Mar 26, 2026, 2:50:55 AMCompleted: Mar 26, 2026, 2:52:19 AMpubliccompleted
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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 encouraging-amber-ynq2dvbobg-c7bpwe7a0n.edgeone.app and was registered NaN years ago.

Submitted URL: https://encouraging-amber-ynq2dvbobg-c7bpwe7a0n.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 80%

4
Risk Score

Site shows no malicious activity but the new subdomain on a free hosting platform warrants caution.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Domain age unknown (potentially new subdomain)
Safety Factors
No forms or credential collection
No malicious Indicators of Compromise
No JavaScript malware detected
HTTPS connection (implied by URL scheme)
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

For You 🤍

Scan Type

public

Language

🇨🇳

Chinese

(0% confidence)

Category

news media journalism

(80%)

Domain Information

Domain 'encouraging-amber-ynq2dvbobg-c7bpwe7a0n.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'encouraging-amber-ynq2dvbobg-c7bpwe7a0n'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. Tokenizing the label suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://encouraging-amber-ynq2dvbobg-c7bpwe7a0n.edgeone.app/

Page Load Overview

0.71s
Total Load Time
3
HTTP Requests
1
Domains
9 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:0%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:0%
Script Type:Han
HTML Lang Attribute:id
Text Length:125 chars
Detector Agreement:100%
Language mismatch: Declared as id but detected as zh

Website Classification

Primary Category

news media journalism80% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
80%
healthcare medical
76%
finance banking
74%
government public service
69%
education learning
68%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CCE1C0F688031C53821FD692A21907A9A4B45B41EB5B2D3477FD73176FC2C64AB233B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Qsjhsk1v0qLz1R98+RcRRDRzRER/ReRqfRGR/RReVR6FXFh4RuYtilFRXHREnRRq:QK3v0qLz1R98+RcRRDRzRER/ReRqfRG3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7110:gAQ+BWCRBCwEi6QOSFAgDsASwCQCSGVgBgBDkigIgJEcIEjQlEwA7IqCIARooYIKCJTeaICqJBAJ/ACABQZUCTBInRCooBwA

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:7e7e7e3c3c180000
Perceptual Hash:cd9327d826d88c76
Difference Hash:f0f0f0f0f0f0f0f0
Wavelet Hash:7e7e7e7e3c3c0000
Color Hash:#c587a5

Other Hashes

Crop Resistant:f0f0f0f0f0f0f0f0

Scan History

Scan history not available

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