Security Scan Report: digidai.github.io

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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 6 domains to perform 25 HTTP transactions. The main domain is github.io and was registered 13 years ago.

Submitted URL: https://digidai.github.io/2025/11/14/sarah-friar-openai-cfo-square-nextdoor-deep-analysis/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Static GitHub Pages analysis article about OpenAI's CFO; no forms, credentials, malware or threat-intel hits. Brand mentions are reporting, not impersonation.

Safety Factors (5)
News/blog article format with author attribution, publication and update dates, and a source-and-correction note
No forms, no login, no payment collection, no credential handling
No Indicators of Compromise, hunting rule, IDS or Safe Browsing hits
Brand names used as article subjects rather than as site identity (no brand impersonation)
Standard analytics-only third-party script set
Domain age information unavailable

Details

Page Title

Sarah Friar at OpenAI: Finance, Structure, and Scale

Scan Type

public

Domain Name Analysis

The domain 'digidai.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'digidai'. The registrable portion 'github' spans 6 characters holding 2 vowels versus four consonants. Word splitting yields three words: g, it, hub. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://digidai.github.io/2025/11/14/sarah-friar-openai-cfo-square-nextdoor-deep-analysis/

Page Load Overview

1.22s
Total Load Time
316 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:11,795 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
42%
news/blog
35%
corporate
35%
news
15%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7185.199.109.153Fastly · CDNUnited States
AS54113Fastly, Inc.
220.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
2150.171.109.100Azure · CLOUDUnited States
AS8075Microsoft Corporation
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
251.8.207.171Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
2185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
2185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
252.152.143.207Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
2216.239.32.36Google · CDNUnited States
AS15169Google LLC
2510--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124431B67B3940C3E427302EBB6DB63249336D647D68444807E6D4EF82F92EB5A17368D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:CfoEJN0w8pjs2q/oZT+XriIT984HA+8YmoURn:CfoEX8ncXriITy4HA+8YmRd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56340:+agPDRCDYEhyQSC4VBiFgELgBABBEkAABkAoCBKMBXoj6CeCVHnXWshAXcRAAGq8DARhD6SAUZp1FxogAtWo1BMQQOkwAhmH

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:ffcfcfc3c3cbc3c3
Perceptual Hash:b892c6cdc6c6c732
Difference Hash:26181a1e1a1a3a2a
Wavelet Hash:92cf87c3c3c383c3
Color Hash:N/A

Other Hashes

Crop Resistant:26181a1e1a1a3a2a

Scan History

Scan history not available

Unable to load historical scan data