Security Scan Report: open-api-nbw2c2oz79.edgeone.app

Submitted: Mar 29, 2026, 2:35:30 PMCompleted: Mar 29, 2026, 2:36:37 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is open-api-nbw2c2oz79.edgeone.app and was registered NaN years ago.

Submitted URL: https://open-api-nbw2c2oz79.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%

5
Risk Score

The site mimics the SF Express brand on a newly created hosting subdomain without collecting data; moderate risk.

Risk Factors
Brand impersonation on an untrusted hosting subdomain
New/unknown subdomain creation date
Domain not listed in Cisco Umbrella top 1M (low reputation)
Safety Factors
No credential collection forms present
No malicious Indicators of Compromise detected
JavaScript shows low obfuscation and no malware patterns
Domain age information unavailable

Details

Page Title

顺丰API测试工具2.0

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(41%)

Domain Information

You're looking at domain 'open-api-nbw2c2oz79.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'open-api-nbw2c2oz79'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. Breaking it apart gives 2 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://open-api-nbw2c2oz79.edgeone.app/

Page Load Overview

0.75s
Total Load Time
2
HTTP Requests
1
Domains
28 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:707 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software41% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
41%
documentation technical
33%
government public service
25%

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

T16073A49638F700609A67A0BE6BDB87463A20D203B848D9293E9C67D45FCDE58D5733CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5Fg6U9FG54TkZBMLCOCIn3+mtRZon01WrRrS6rZgPYP:5S6U9u4T5dHn3XRZAD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75543:HAhEkINQURFEONKGKCASwIoh5MiGBBpiILMBZQpAg7qAExIyYoESJmIAdvoUAIBCBhwjSmwCFhUQnBAVAKACyGTsDfBgBIAQ

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:3f3f7f3f7f3f7ffe
Perceptual Hash:8102752a55fa55fe
Difference Hash:c0c4c0c0c0c0c000
Wavelet Hash:00373f3f3e3e3e00
Color Hash:#d22d9e

Other Hashes

Crop Resistant:c0c4c0c0c0c0c000

Scan History

Scan history not available

Unable to load historical scan data