Security Scan Report: eweb09.js-mingyi.com

Submitted: Jan 13, 2026, 9:29:35 AMCompleted: Jan 13, 2026, 9:31:16 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 eweb09.js-mingyi.com and was registered NaN years ago.

Submitted URL: https://eweb09.js-mingyi.com

The Cisco Umbrella rank of the primary domain is #179,224 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain with long registration history
Standard server test page indicating no malicious activity
Domain age information unavailable

Details

Page Title

HTTP Server Test Page powered by: Rocky Linux

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

technology software

(64%)

Domain Information

The domain 'eweb09.js-mingyi.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'eweb09'. The core label 'js-mingyi' covers 9 characters containing 2 vowels alongside six consonants, notching 1 hyphen. Segmentation suggests 3 words: js, ming, yi. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eweb09.js-mingyi.com

Page Load Overview

17.94s
Total Load Time
4
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:2,113 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
64%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4138.113.149.152United Kingdom
41--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DEF1759B65F21909640680A4265A165F1B16F07BA32ACD973FDCDB64CF82642C9F37CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:SxmJhW2tpCJcHBesOJ8yA0SbZKTVl4/tLJvrswu0iRhx5j/lj:tJhW2HCcLu0iRvb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7606:R3BSCRg4GAWISIEdgggpMrEzBCNSB5xCGIDErInGQkAlQC4EQERKGAKEiUiIGFTAmIAgAAjCkYroAABwcCEKGZImdwIYUmdC

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:ffffff7f79300000
Perceptual Hash:8a993c643393e739
Difference Hash:01f1d9d9c1c53101
Wavelet Hash:ffffff7d08200000
Color Hash:#3a784c

Other Hashes

Crop Resistant:01f1d9d9c1c53101

Scan History

Scan history not available

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