Summary
This website contacted 104 IPs in 3 countries across 30 domains to perform 267 HTTP transactions. The main domain is jobs.nyulangone.org and was registered NaN years ago.
Submitted URL: https://jobs.nyulangone.org/
The Cisco Umbrella rank of the primary domain is #141,611 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 92%
Site appears legitimate; minor risk from redirect loop
Risk Factors
Safety Factors
Details
Page Title
Exceptional Health Care Careers | NYU Langone Health Home
Scan Type
public
Language
English
Category
healthcare medical
(52%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'jobs.nyulangone.org' is registered with subdomain 'jobs'. The core label 'nyulangone' covers 10 characters holding four vowels versus six consonants. Splitting it apart reveals three words: nyu, lang, one. Median word length comes out to 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 |
|---|---|---|---|
| 61 | 18.245.60.35 | United States | AS16509AMAZON-02 |
| 2 | 142.250.185.106 | United States | AS15169GOOGLE |
| 2 | 142.250.186.170 | United States | AS15169GOOGLE |
| 2 | 3.215.75.137 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 104.16.78.6 | United States | AS13335CLOUDFLARENET |
| 2 | 216.58.212.138 | United States | AS15169GOOGLE |
| 2 | 104.18.40.68 | United States | AS13335CLOUDFLARENET |
| 2 | 13.35.58.7 | United States | AS16509AMAZON-02 |
| 2 | 2.18.64.212 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 142.250.185.136 | United States | AS15169GOOGLE |
| 267 | 104 | - | - |
Detected Technologies6
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
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