Security Scan Report: mirrors.tuna.tsinghua.edu.cn

Submitted: Feb 2, 2026, 6:21:34 AMCompleted: Feb 2, 2026, 6:22:49 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 32 HTTP transactions. The main domain is mirrors.tuna.tsinghua.edu.cn.

Submitted URL: https://mirrors.tuna.tsinghua.edu.cn

The Cisco Umbrella rank of the primary domain is #20,896 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Site appears legitimate but unknown domain age warrants caution.

Risk Factors
Domain age unknown – cannot verify how long the site has been registered
Brand mention (Tsinghua University) on a domain with unknown age
Safety Factors
No forms collecting sensitive data
No malicious Indicators of Compromise detected
High Cisco Umbrella ranking indicating reputable domain
Meta tags clearly describe an open‑source mirror service
Domain age information unavailable

Details

Page Title

清华大学开源软件镜像站 | Tsinghua Open Source Mirror

Scan Type

public

Language

🇺🇸

English

(29% confidence)

Category

cryptocurrency blockchain

(82%)

Domain Information

The domain name 'mirrors.tuna.tsinghua.edu.cn' uses the Chinese country-code top-level domain (.edu.cn) with subdomain 'mirrors.tuna'. The core label 'tsinghua' covers 8 characters with three vowels and 5 consonants. Word splitting yields 1 word: tsinghua. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mirrors.tuna.tsinghua.edu.cn

Page Load Overview

3.90s
Total Load Time
28
HTTP Requests
1
Domains
610 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:zh-Hans
Text Length:8,421 chars
Detector Agreement:50%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

cryptocurrency blockchain82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
82%
technology software
79%
documentation technical
55%
education
45%
download file sharing
44%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28101.6.15.130Beijing, Beijing, China
AS4538China Education and Research Network Center
281--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17FF37A117D6C02778237A1C591083E84A192FBD7C2FD1E92BFE60B170BA2DF9B45E691

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:m2RESAqVLg4egtl7ujrfC/grK8FGuBCBWkZfIHrMw:7yOgZgyCGK8FGucBWkIHrMw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:172389:PqgEGgJkCZCiisgGrkRckEW0IGBgAghAGqm2UDRAcZCJjAAKIkgQAUgEALPhOEFsEATMgIgBgHhwCXQEzBhgYZ2RDUQNsCBr

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:bfa3a3a3a3a3a3a7
Perceptual Hash:af189c9cd8d8cb32
Difference Hash:604e4b4b6a4a4e4e
Wavelet Hash:be83a3a1a3a3a3a3
Color Hash:#c58b87

Other Hashes

Crop Resistant:604e4b4b6a4a4e4e

Scan History

Scan history not available

Unable to load historical scan data