Security Scan Report: logistics-dashboard-overseas-dpgo5zfr4gc5.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 2 domains to perform 10 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 5 months ago.

Submitted URL: https://logistics-dashboard-overseas-dpgo5zfr4gc5.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Private-looking logistics dashboard on an anonymous edgeone.dev subdomain with an ngrok-tunneled backend. No forms, no impersonation, no malware evidence; only weak reputation signals, so low risk.

Risk Factors (2)
Anonymous shared-hosting subdomain (edgeone.dev) with unknown creation date and no reputation
Backend appears to be reached via an ngrok-free.dev tunnel, typical of an ad-hoc developer setup rather than a hardened production service
Safety Factors (4)
No forms or input fields that collect credentials or payment data
No brand impersonation: the page is a working tool for a seller and merely references the SaaS whose data it uses; it does not present itself as that vendor's official site or login
All JavaScript served from the site's own domain; no cross-origin JS targets and no credential exfiltration detected
No hunting rule malware, no known phishing kit, no Safe Browsing or malware/phishing IDS alert
Domain age information unavailable

Details

Page Title

店小秘物流数据看板

Scan Type

public

Domain Name Analysis

Domain 'logistics-dashboard-overseas-dpgo5zfr4gc5.edgeone.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'logistics-dashboard-overseas-dpgo5zfr4gc5'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 consonants. Segmentation suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

物流数据看板 物流数据看板/ 日报看板...

Page Load Overview

1.48s
Total Load Time
96 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:80%
Script:Han
Direction:ltr

Detection Details

HTML Lang Attribute:zh-CN
Text Length:2,248 chars
Detector Agreement:50%

All Detected Languages

🇨🇳zh(53%)🇻🇳vi(18%)🇺🇸en(16%)🇿🇦af(5%)🇷🇴ro(5%)🏳️so(4%)

Website Classification

Primary Category

e-commerce shopping81% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
81%
technology software
65%
documentation technical
56%
government public service
35%
news media journalism
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.174.246.29Singapore
243.174.247.29Singapore
152.28.148.162Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.179.179.132Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.178.125.110Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
13.126.67.161Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
106--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18EA31B6674FA11320AB750DA76E38B1F39705603E502C5A4BE7CD3C44FCAEA0D5B7A89

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vy1KbNODA9WiZCDzywNe1DAsz3UiWaxy0tzV525C3Vk5EpqE9woFygB4xqZxK:F3xVj3Vk5Rf3xOK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:104949:AQHGMi2dEYCQBFBUIMQlSIQKZRILIBuRqIkIIDBYAYAyQiuAi5pBKACEIVCj8Ap3GRERGxCGIBQKFGXYOkMQKBkBqASBA5BY

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:7f7f7f7f7f7f417f
Perceptual Hash:8097ee6e95789585
Difference Hash:eaeafcdaf8e5a7c6
Wavelet Hash:1f030f0e3e3f007f
Color Hash:06038000040

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data