Summary
This website contacted 43 IPs in 3 countries across 13 domains to perform 69 HTTP transactions. The main domain is 80000hours.org and was registered NaN years ago.
Submitted URL: https://80000hours.org/agi/guide/when-will-agi-arrive/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
The case for AGI by 2030 - 80,000 Hours
Scan Type
public
Language
English
Category
news/blog
(35%)Domain Information
Within the non-profit oriented generic top-level domain (.org), '80000hours.org' is registered with no subdomain. The second-level label '80000hours' is 10 characters long holding two vowels versus three consonants, plus 5 digits. Breaking it apart gives two words: 80000, hours. Expect 5 characters per word on average. 'hours' is most common in English usage. Secondary signals appear in Chinese (Pinyin) and Sinhala.
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 |
|---|---|---|---|
| 27 | 23.50.131.207 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 104.26.9.3 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.71.239 | United States | AS13335CLOUDFLARENET |
| 1 | 172.64.146.215 | United States | AS13335CLOUDFLARENET |
| 1 | 104.16.80.73 | United States | AS13335CLOUDFLARENET |
| 1 | 23.42.161.126 | Schiphol, North Holland, Netherlands | AS16625AKAMAI-AS |
| 1 | 172.66.43.101 | United States | AS13335CLOUDFLARENET |
| 1 | 172.64.155.119 | United States | AS13335CLOUDFLARENET |
| 1 | 172.66.40.155 | United States | AS13335CLOUDFLARENET |
| 1 | 172.64.148.115 | United States | AS13335CLOUDFLARENET |
| 69 | 43 | - | - |
Detected Technologies14
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
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