Security Scan Report: passive-jade-wtonqufo-dpl75t9wv498.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 6 domains to perform 14 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 5 months ago.

Submitted URL: https://passive-jade-wtonqufo-dpl75t9wv498.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Thai educational page teaching moon phases with an interactive/AR demo. No forms, no impersonation, no malware or exfiltration signals; only weak unranked/unknown-age hosting priors.

Risk Factors (2)
Hosted on a free instant-subdomain platform (edgeone.dev) where the actual page creation date is unknown and could be very recent
Domain is unranked in Cisco Umbrella — a weak prior only, not evidence of wrongdoing
Safety Factors (4)
No credential, login, or payment forms on the page
No brand impersonation or deceptive hostname pattern
No malware, hunting rule, obfuscated-script, exfiltration, or network IDS findings
Content is coherent educational material with functional interactive elements, consistent with a real teaching demo
Domain age information unavailable

Details

Page Title

กิจกรรมการทดลอง: รูปร่างของดวงจันทร์ในแต่ละวัน (ข้างขึ้น-ข้างแรม)

Scan Type

public

Domain Name Analysis

The domain name 'passive-jade-wtonqufo-dpl75t9wv498.edgeone.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'passive-jade-wtonqufo-dpl75t9wv498'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Segmentation suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

fionssumaaas: 1 1 2 13131++1111 1111++++“ wef @ เปิดกล้อง ดล ลา...

Page Load Overview

1.16s
Total Load Time
337 KB
Total Size

Language Analysis

Primary Language

🇹🇭Thai
Code: th
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:th
Text Length:717 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
46%
documentation technical
39%
entertainment media
36%
government public service
31%
education learning
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.247.29Singapore
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.16.179.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
143.174.246.29Singapore
148--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E743E633327704396C5B52AEA7A777457220B4837E26EDE8794E42102FE236588E7FC5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:T/hbBXRhndlTR9aXEFiQV89qce6GnbDnUNWhKUTpQ1APzTslzNzPGmRDHBFD:fRhdlILD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56041:LKFM20IpADEIAnBUAuSMAhCiMGhDQpQAB6hYQoFo0QAiBLQekLQAEkjBHJRWJYASOGkHbGzOLkkDPbaEEADgAITgiB5IAQVA

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:e303033f3c0000c0
Perceptual Hash:a9abf0d0d8a3e15c
Difference Hash:8323036330054090
Wavelet Hash:f313373f3c30a0e0
Color Hash:38206010000

Other Hashes

Crop Resistant:8323036330054090

Scan History

Scan history not available

Unable to load historical scan data