Summary
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is lobste.rs and was registered NaN years ago.
Submitted URL: https://lobste.rs/s/7nrek3/openai_model_breaks_out_security_sandbox
The Cisco Umbrella rank of the primary domain is #380,862 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate news/blog page with no phishing or malware indicators.
Safety Factors
Details
Page Title
OpenAI model breaks out of security sandbox, hacks Hugging Face for data to pass test | Lobsters
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
Within the Serbian country-code top-level domain (.rs), 'lobste.rs' is registered with no subdomain. Its registrable label 'lobste' stretches across 6 characters containing 2 vowels alongside four consonants. Word splitting yields 2 words: lobs, te. Average segment length settles at 3 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 |
|---|---|---|---|
| 20 | 68.183.100.95 | North Bergen, New Jersey, United States | AS14061DigitalOcean, LLC |
| 20 | 1 | - | - |
Page Statistics
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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