Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 10 HTTP transactions. The main domain is brendangregg.com and was registered NaN years ago.
Submitted URL: https://www.brendangregg.com/blog/2026-02-07/why-i-joined-openai.html
AI Security Verdict
Moderate Risk
Confidence: 80%
The site impersonates a major brand (Netflix) on an old, unranked domain without malicious code, indicating high‑risk phishing potential.
Risk Factors
Safety Factors
Details
Page Title
Why I joined OpenAI
Scan Type
public
Language
English
Category
blog personal website
(27%)Domain Information
Domain 'www.brendangregg.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion 'brendangregg' spans 12 characters holding three vowels versus nine consonants. Word splitting yields two words: brendan, gregg. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 6 | 64.90.53.70 | United States | AS26347New Dream Network, LLC |
| 5 | 192.178.183.97 | United States | AS15169Google LLC |
| 11 | 2 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data