Security Scan Report: tec.earth.sinica.edu.tw

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Submitted: Jul 28, 2026, 9:24:34 AMCompleted: Jul 28, 2026, 9:26:02 AMpubliccompleted

This website contacted 6 IPs in 2 countries across 8 domains to perform 49 HTTP transactions. The main domain is tec.earth.sinica.edu.tw.

Submitted URL: https://tec.earth.sinica.edu.tw/

The Cisco Umbrella rank of the primary domain is #313,064 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site appears to be a legitimate educational page with no phishing or malware indicators.

Safety Factors
Educational content about earthquakes
Self‑branding consistent with domain
No credential or payment forms
No malicious JavaScript behavior detected
Domain age information unavailable

Details

Page Title

台灣地震科學中心

Scan Type

public

Domain Name Analysis

Within the Taiwanese country-code top-level domain (.edu.tw), 'tec.earth.sinica.edu.tw' is registered, featuring subdomain 'tec.earth'. Count 6 characters in 'sinica' holding 3 vowels versus 3 consonants. It segments into 1 word: sinica. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tec.earth.sinica.edu.tw/

Page Load Overview

19.60s
Total Load Time
13.0 MB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Text Length:3,376 chars
Detector Agreement:67%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
8104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8142.251.110.102Google · CDNUnited States
AS15169Google LLC
8104.26.9.123Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8140.109.80.55Nangang, Taipei City, Taiwan
AS9264Academia Sinica
496--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10763C66673682D3F221302EDEB617779205B05DBD9103EA1F2FE01756382E8E6C3B5A5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:882FfxQhK11OGLiWLVZPTJ7N21piWX0R0D+YzXFRP7DgYE6EaqQfhA73U:882ghyrEIk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70567:BOWDoAwWBkEQzriETFkQBq2jGiAFFGRM+jWJOJAsE8DrILQAQipUQ46rNACBZ4wADCdEMQCloiGKAUOZIBySAIRRCamJIARK

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:00d0242c3c0000ff
Perceptual Hash:97253d2d87352d15
Difference Hash:d210494969010202
Wavelet Hash:0082bfaf7f0082ff
Color Hash:#9740bf

Other Hashes

Crop Resistant:d210494969010202

Scan History

Scan history not available

Unable to load historical scan data