Security Scan Report: jinwei26-github-io.pages.dev

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Submitted: Sep 28, 2026, 4:35:23 AMCompleted: Sep 28, 2026, 4:37:16 AMpubliccompleted

This website contacted 16 IPs in 5 countries across 9 domains to perform 42 HTTP transactions. The main domain is jinwei26-github-io.pages.dev and was registered 8 years ago.

Submitted URL: https://jinwei26-github-io.pages.dev/Hexo/hexo%E4%BD%BF%E7%94%A8Typora-MarkDown%E7%BC%96%E5%86%99%E5%8D%9A%E5%AE%A2%E7%9A%84%E5%9F%BA%E6%9C%AC%E8%AF%AD%E6%B3%95%E4%BD%BF%E7%94%A8%E8%AE%B0%E5%BD%95/

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Personal self-branded Chinese blog (Markdown/Hexo tutorial) on a Cloudflare Pages subdomain. No impersonation, IoC, YARA, or Safe Browsing hits. Only noteworthy item is a lone password field (no username), likely a content-unlock feature.

Risk Factors (3)
Password field without an accompanying username field (suspicious credential-collection pattern)
Unranked domain (not in Cisco Umbrella top 1M)
Content served from a shared hosting-platform subdomain whose creation date is unknown
Safety Factors (5)
Site displays its own brand (title/meta match its own domain) - no impersonation of another entity
Page is clearly technical documentation/reference content, not a login or payment page
No Indicators of Compromise, no YARA malware, no Safe Browsing or phishing IDS hits
No cross-origin form submissions and no credential exfiltration detected
External resources are mainstream CDNs and analytics (jsdelivr, cloudflare, clarity, baidu)
Domain age information unavailable

Details

Page Title

hexo使用Typora-MarkDown编写博客的基本语法使用记录 | 浩跃霖希的博客

Scan Type

public

Domain Name Analysis

The domain name 'jinwei26-github-io.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'jinwei26-github-io'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jinwei26-github-io.pages.dev/Hexo/hexo%E4%BD%BF%E7%94%A8Typora-MarkDown%E7%BC%96%E5%86%99%E5%8D%9A%E5%AE%A2%E7%9A%84%E5%9F%BA%E6%9C%AC%E8%AF%AD%E6%B3%95%E4%BD%BF%E7%94%A8%E8%AE%B0%E5%BD%95/

Page Load Overview

80.08s
Total Load Time
837 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:zh-CN
Text Length:6,855 chars
Detector Agreement:40%

Website Classification

Primary Category

documentation technical84% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
84%
technology software
77%
cryptocurrency blockchain
35%
news/blog
35%
forum
25%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2111.45.11.83China
AS9808China Mobile Communications Group Co., Ltd.
220.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2150.171.110.54Azure · CLOUDUnited States
AS8075Microsoft Corporation
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
252.184.215.111Azure · CLOUDBoydton, Virginia, United States
AS8075Microsoft Corporation
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4216--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19BB3C63285E1703B4923DAF995A1AB9570D2405BC1876E24BFFE83E94FC5F522C63B06

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:MhFtXkJBKZkbFayR/HuRyXuqycc9FqqoFgWu7nTW1bCOF6:MhCBKZkbFayR/HuRyXuqycc9FqqoFgmA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:114714:TU1NHAiAIgxDSgANoQmKIULOAxmooCwBFSgRQGGIsCAYdAUGAAmEAUZQhKgQwCEAgBGlSMPIPrsbmjgQCEWaBoAAUgIThkaG

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:1f9f9f97e7ffffff
Perceptual Hash:9f1f1f000f1f1f0c
Difference Hash:6869616989918141
Wavelet Hash:001f9b836171f1b1
Color Hash:#93441f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data