Security Scan Report: zbh14a15-dpsmfszzrj4a.edgeone.app

Submitted: Jun 15, 2026, 9:09:54 PMCompleted: Jun 15, 2026, 9:11:14 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is zbh14a15-dpsmfszzrj4a.edgeone.app and was registered NaN years ago.

Submitted URL: https://zbh14a15-dpsmfszzrj4a.edgeone.app/Code_20260312(6).html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Low risk site with no malicious indicators; likely legitimate.

Risk Factors
Domain age unknown (sub‑domain could be newly created)
Safety Factors
Absence of credential or payment collection forms
No malicious signatures or IDS alerts
No brand impersonation observed
Domain age information unavailable

Details

Page Title

进校查询

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

unknown

(0%)

Domain Information

The domain 'zbh14a15-dpsmfszzrj4a.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'zbh14a15-dpsmfszzrj4a'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals 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://zbh14a15-dpsmfszzrj4a.edgeone.app/Code_20260312(6).html

Page Load Overview

0.98s
Total Load Time
2
HTTP Requests
1
Domains
1 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
Text Length:23 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T10941365A3EF30141AD16A074ABB797963614D013C505CC947E5CB7888F42B91C9A3BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:haRM6m3hChs8/5QZs/UECylJ8zMJfA8iiXeopNP5OcJRRpFRRm12gbKRU+htsydI:xAhz5QZujCyl9J48kOPocJj7gSnhyyMj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2102:AogAAAAAEASAAGAEAAAAAAAAAwAAYAAKEEAAACABBAiWAAAAAJQABBAABAACYAAgKBAEASAAAAQQAQQAACAIAAAACAAAAQAA

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:00ff00ffffffffff
Perceptual Hash:aa2a001555557f7f
Difference Hash:8001410001000000
Wavelet Hash:000000ffffffff00
Color Hash:#cee06c

Scan History

Scan history not available

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