Security Scan Report: download.cncb.ac.cn

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Submitted: Aug 20, 2026, 11:43:35 AMCompleted: Aug 20, 2026, 11:44:58 AMpubliccompleted

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is download.cncb.ac.cn and was registered 6 years ago.

Submitted URL: https://download.cncb.ac.cn

The Cisco Umbrella rank of the primary domain is #546,216 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

The site shows no malicious indicators, has an old reputable domain, and contains no credential or payment forms.

Safety Factors
Established domain age
Government/public service content
No forms or credential collection
No malicious intelligence hits
Domain age information unavailable

Details

Page Title

国家基因组科学数据中心(NGDC)数据下载服务

Scan Type

public

Domain Name Analysis

You're looking at domain 'download.cncb.ac.cn' on the Chinese country-code top-level domain (.ac.cn); it also runs on subdomain 'download'. The core label 'cncb' covers 4 characters with 0 vowels and four consonants. Breaking it apart gives 2 words: cn, cb. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://download.cncb.ac.cn

Page Load Overview

5.81s
Total Load Time
9 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Text Length:2,589 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service45% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
45%
documentation technical
26%
healthcare medical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2124.16.164.229Beijing, Beijing, China
AS7497Computer Network Information Center of Chinese Academy of Sciences (CNIC-CAS)
1124.16.164.109Beijing, Beijing, China
AS7497Computer Network Information Center of Chinese Academy of Sciences (CNIC-CAS)
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13F82CA9165C5647A5A9234AC87057F9FA1EFE5B783B86D383F6F0ADBCF509B40280243

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:TVVgaUWLOLELzL+LYcLYqTLnLxLjLVLULdLkLnvLULgL9LfLiLtLALsPLMLwLILp:jgaUcUiPEYaYKLN/ZyBCTyGhDgRm8KWa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18997:UBPIiQs4AwJBB0EzoBxIxEFkEDQAEQAEZAgQgIsbCJDsLIECKHVBCEASY8uBwHhqIuE8FAMTEKCmkBEHYIYEgA6gZgA4AYmL

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:8393b3b3b393b3b3
Perceptual Hash:ac515939b193d3c3
Difference Hash:1a26662727272727
Wavelet Hash:8282b2b3b393b3b3
Color Hash:#d2692d

Other Hashes

Crop Resistant:1a26662727272727

Scan History

Scan history not available

Unable to load historical scan data