Security Scan Report: letsdatascience.com

Submitted: Apr 22, 2026, 8:20:55 AMCompleted: Apr 22, 2026, 8:22:05 AMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 1 country across 7 domains to perform 1 HTTP transaction. The main domain is letsdatascience.com and was registered NaN years ago.

Submitted URL: https://letsdatascience.com/news/greg-brockman-recounts-72-hours-that-nearly-killed-openai-09163dba

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 429 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Greg Brockman Recounts 72 Hours That Nearly Killed OpenAI | Let's Data Science

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(49%)

Domain Information

The domain name 'letsdatascience.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'letsdatascience' spans 15 characters containing 6 vowels alongside nine consonants. Segmentation suggests three words: lets, data, science. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://letsdatascience.com/news/greg-brockman-recounts-72-hours-that-nearly-killed-openai-09163dba

Page Load Overview

0.48s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:285 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical49% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
49%
technology software
45%
news media journalism
38%
cryptocurrency blockchain
34%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.156.119United States
0142.251.110.97United States
0172.66.40.231United States
0104.26.5.62United States
0216.150.1.1United States
AS16509Amazon.com, Inc.
0142.251.110.147United States
36--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15AF32AA67100E9395E076A2872FD7E3D905DE612CA17C869F39DC22903C2DF867727D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1zA42HGhfe2LSLOT5Cq2uL3yz0bxG5xZEpAlSol:1cvQfeySLI7yHH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:168243:EEBGLEAgxqMeQo8wokSgwqwhgAELZh1zQhQZtIEYDFBaRdiZADMKBJIUiaEAYiUEUIEJYBGCKCCojHiEAJhHDQAc4ESJYAQI

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:00fffffff7c7f4f4
Perceptual Hash:f42d52254f5b314e
Difference Hash:d41c1c0616968504
Wavelet Hash:00cfc3ffc3c3c0f0
Color Hash:#79acd2

Scan History

Scan history not available

Unable to load historical scan data