Security Scan Report: cas.cn

Redirected to: https://www.cas.cn/

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Submitted: Mar 5, 2026, 8:20:32 PMCompleted: Mar 5, 2026, 8:23:13 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 189 HTTP transactions. The main domain is cas.cn and was registered NaN years ago.

Submitted URL: https://cas.cn

Effective URL: https://www.cas.cn/Redirected

The Cisco Umbrella rank of the primary domain is #194,560 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate site with low risk; only external link to a flagged domain is a minor concern.

Risk Factors
External link to suspicious domain ac.cn
Safety Factors
Established domain (8389 days old)
Official brand (中国科学院) matches domain
No forms collecting sensitive data
No malicious script or credential exfiltration
Domain age information unavailable

Details

Page Title

中国科学院

Scan Type

public

Language

🇨🇳

Chinese

(70% confidence)

Category

government public service

(76%)

Domain Information

You're looking at domain 'cas.cn' on the Chinese country-code top-level domain (.cn) with no subdomain. The core label 'cas' covers 3 characters with 1 vowel and 2 consonants. Segmentation suggests 1 word: cas. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cas.cn

Page Load Overview

90.13s
Total Load Time
190
HTTP Requests
2
Domains
8.9 MB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:70%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:70%
Script Type:Han
Text Length:6,948 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
76%
documentation technical
43%
adult content
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
190159.226.242.61Beijing, Beijing, China
AS7497Computer Network Information Center of Chinese Academy of Sciences CNIC-CAS
1901--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T122F3D66242F23067025283D59DB0DB25DE5345A7E6452EC8FAFC1EB9DF89FA28D031C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6c3wq3L4oh6NbSPaEkJ1L0WEOwTlDUgX6/x/w7OwkzrYdUikZLsz5mFwr:Wo3TDWq7XkQdUikzFwr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:164239:KQLDwS5QAhjQIBOBwmYUqgGbsEtTFaBFASgBYGyxCxABLTAMZUlpIwQxiTRMFQUAmAECSJAJwFYAnIM96CRwQEA2SqVNKXTD

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:420000ffffffffff
Perceptual Hash:a02434b4f4f4f67a
Difference Hash:ae8e8d0000000000
Wavelet Hash:000000fe0e0e0e0e
Color Hash:#d279b3

Other Hashes

Scan History

Scan history not available

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