Security Scan Report: www.jos.ac.cn

Redirected to: https://www.jos.ac.cn/en/article/latest_accepted

Submitted: Jan 25, 2026, 9:26:04 PMCompleted: Jan 25, 2026, 9:27:54 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 37 HTTP transactions. The main domain is jos.ac.cn and was registered NaN years ago.

Submitted URL: https://www.jos.ac.cn

Effective URL: https://www.jos.ac.cn/en/article/latest_acceptedRedirected

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Low risk academic site; external malicious link noted.

Risk Factors
External link to known malicious domain ac.cn
Safety Factors
Domain age > 5 years (well‑established)
No forms collecting sensitive data
No malicious JavaScript detected
Standard hosting (no IPFS or cloud storage)
Content appears to be an academic journal
Domain age information unavailable

Details

Page Title

Journal of Semiconductors

Scan Type

public

Language

🇺🇸

English

(62% confidence)

Category

documentation technical

(62%)

Domain Information

Domain 'www.jos.ac.cn' uses the Chinese country-code top-level domain (.ac.cn) with subdomain 'www'. The second-level label 'jos' is 3 characters long split between one vowel and two consonants. Splitting it apart reveals one word: jos. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.jos.ac.cn

Page Load Overview

43.35s
Total Load Time
119
HTTP Requests
5
Domains
13.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:62%
Script Type:Latin
Text Length:16,927 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical62% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
62%
government public service
27%
news
15%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
41159.226.228.78Beijing, Beijing, China
AS7497Computer Network Information Center of Chinese Academy of Sciences CNIC-CAS
39123.57.94.0Beijing, Beijing, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
39123.56.42.125Beijing, Beijing, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
1193--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10251B07E1C06C85AB80009D3D1A4FA16C577E5D6971FEC68C1E80536E3B5BCC011FABA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Im+btFzWDiLiUKiaKiOKiIzKisIKieKiYKi+KioVT1Hb/VNFzqKkb5:4pgKC2EZGgGKT1Hb/VNZ/kb5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2734:CAAgEhAFAAACRIkAMCAAIYgCAsACAAGAIAIC0IAAAAQhgoAAIIwCAAAFAAAyAQAAAEEAAAAACQAAQCQgCAAAAAwSAWAAAGIQ

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:0000c3c3c3fbffff
Perceptual Hash:e936124b3692edb8
Difference Hash:c54b332f2323d8d4
Wavelet Hash:00008383c1fbffff
Color Hash:#c5a087

Scan History

Scan history not available

Unable to load historical scan data