Security Scan Report: ethical-amaranth-pv71dz1q-dpmke7jdpqcc.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 2 domains to perform 10 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://ethical-amaranth-pv71dz1q-dpmke7jdpqcc.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Self-branded Chinese measurement app on a free edgeone.dev subdomain. No forms, no credential capture, no impersonation, no malware indicators; only generic abuse-reputation tags on the host. Informal WeChat activation payment warrants caution, not a scam verdict.

Risk Factors (3)
Free shared-hosting platform subdomain (.edgeone.dev) with unknown subdomain creation date — age and reputation of the tenant cannot be established
Unranked in Cisco Umbrella top 1M and no published domain age (weak priors only)
Page text instructs users to pay via WeChat to obtain an activation code from a personal WeChat handle, an informal payment channel with no verifiable merchant
Safety Factors (5)
No credential, login, or payment form fields present (all form counts zero)
No brand impersonation — the app presents only its own name matching its content
No Indicators of Compromise for content malware; the two matches are generic outbound-abuse reputation tags on the host IPs
No obfuscated JavaScript, no YARA malware hits, no IDS phishing/malware alerts
Content is consistent with a functional measurement/annotation utility (toolbars, drawing and camera controls)
Domain age information unavailable

Details

Page Title

测量现场 Max

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'ethical-amaranth-pv71dz1q-dpmke7jdpqcc.edgeone.dev' is registered, featuring subdomain 'ethical-amaranth-pv71dz1q-dpmke7jdpqcc'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Segmentation suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ethical-amaranth-pv71dz1q-dpmke7jdpqcc.edgeone.dev/

Page Load Overview

1.37s
Total Load Time
901 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

HTML Lang Attribute:zh-CN
Text Length:637 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
60%
social media network
58%
documentation technical
46%
finance banking
42%
government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.174.247.29Singapore
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
343.174.246.29Singapore
103--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A0D4086622BB1435546790AE2FEBA54A6734B10B7903CD8C7E4C43D41F88A70A3F7FA5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:PotPyym6RtKlj92uCK7yH8HTIgvDJ8gNtCLbKsioUez3nHEWNQHM:gdyyw2ipNQl6HM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:627704:VKUFACAEilHECGIQCIBABPocgQgoEwwgWhbSAgg0IlHCAgORBFkFJQEIOJiSIwmUEhPACjMiwuhKiQLACBCripnFCBCKwgDg

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:0018181818181901
Perceptual Hash:8855aadd22dddd22
Difference Hash:081030323132310d
Wavelet Hash:0918181838383b2b
Color Hash:#539fac

Other Hashes

Crop Resistant:081030323132310d

Scan History

Scan history not available

Unable to load historical scan data