Security Scan Report: unpleasant-brown-holuevjohq-n339gocgx3.edgeone.app

Submitted: Mar 1, 2026, 4:46:19 AMCompleted: Mar 1, 2026, 4:47:54 AMpubliccompleted
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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 unpleasant-brown-holuevjohq-n339gocgx3.edgeone.app and was registered NaN years ago.

Submitted URL: https://unpleasant-brown-holuevjohq-n339gocgx3.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

No suspicious activity detected; the site appears benign.

Safety Factors
Hosted on reputable platform edgeone.app
Absence of credential or payment fields
No malicious Indicators of Compromise
Minimal JavaScript obfuscation (standard minification)
No cross‑origin data exfiltration
Domain age information unavailable

Details

Page Title

AEC‑Q100 Rev J 研究报告(精简核实版)

Scan Type

public

Language

🇨🇳

Chinese

(71% confidence)

Category

documentation technical

(65%)

Domain Information

Domain 'unpleasant-brown-holuevjohq-n339gocgx3.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'unpleasant-brown-holuevjohq-n339gocgx3'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Breaking it apart gives two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unpleasant-brown-holuevjohq-n339gocgx3.edgeone.app/

Page Load Overview

0.43s
Total Load Time
2
HTTP Requests
1
Domains
15 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:71%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:71%
Script Type:Han
HTML Lang Attribute:en
Text Length:7,922 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as zh

Website Classification

Primary Category

documentation technical65% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
65%

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

T159E2E7B950F2899A0CB130E94394835F4988A19FE43743D1FB9EE6745FC4A12A973F1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:O+8aODu1vUI2IOA4/08dggWGizaa+BGX7dBv:Gk2tlimaUGXnv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31999:QgnKNI1TbIK1aIAAWieNA0kAMlIQKgJ4GM4AJCgL1Z4AoEGgEGACeIBiBZgj7eOAEwWGKAvJwhU2lKkaomAUQNEAAS5OGiOK

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:dfffffdfff8181ff
Perceptual Hash:bc92d139926d6dc2
Difference Hash:38b03434c02717c4
Wavelet Hash:0e5f3f1f3f010163
Color Hash:#87c5b5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data