Security Scan Report: ai-honeypot-ryu2jt9ln3.edgeone.app

Submitted: Feb 5, 2026, 10:35:50 PMCompleted: Feb 5, 2026, 10:37:01 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 ai-honeypot-ryu2jt9ln3.edgeone.app and was registered NaN years ago.

Submitted URL: https://ai-honeypot-ryu2jt9ln3.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.

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

Details

Page Title

ai-honeypot-ryu2jt9ln3.edgeone.app

Scan Type

public

Language

🇺🇸

English

(67% confidence)

Category

documentation technical

(72%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ai-honeypot-ryu2jt9ln3.edgeone.app' is registered and includes subdomain 'ai-honeypot-ryu2jt9ln3'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and 3 consonants. Splitting it apart reveals 2 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://ai-honeypot-ryu2jt9ln3.edgeone.app/

Page Load Overview

2.95s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:67%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:67%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:91 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical72% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
72%
news media journalism
41%
technology software
41%
government public service
41%
phishing scam
36%

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

T17B048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszI2bMy8OldS:ihoC9JSqzzbs6o3Sj3gcrsE2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184561:FoAYAZJEhSCgEAYIQKioCAEWBoM4CKyPItgU3M0MiAACgANEg1SMDIQAGqMwLNHAgygALYi7nDwEGUYkiQpDQDkIUIhAUJEC

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:b131cccccc676363
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#d279a0

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data