Summary
This website contacted 13 IPs in 2 countries across 13 domains to perform 7 HTTP transactions. The main domain is jobs.unitedrentals.com and was registered NaN years ago.
Submitted URL: https://jobs.unitedrentals.com/
The Cisco Umbrella rank of the primary domain is #140,951 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate United Rentals careers site; no security concerns.
Safety Factors
Details
Page Title
Careers | United Rentals
Scan Type
public
Language
English
Category
documentation technical
(64%)Domain Information
Domain 'jobs.unitedrentals.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'jobs'. The registrable portion 'unitedrentals' spans 13 characters containing 5 vowels alongside eight consonants. Breaking it apart gives 2 words: united, rentals. Expect 6.5 characters per word on average. 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 |
|---|---|---|---|
| 18 | 34.201.142.60 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 15 | 104.19.148.8 | United States | AS13335Cloudflare, Inc. |
| 15 | 37.252.171.85 | United States | |
| 15 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 15 | 142.251.141.78 | United States | AS15169Google LLC |
| 15 | 216.58.206.40 | United States | AS15169Google LLC |
| 15 | 35.190.14.188 | United States | AS396982Google LLC |
| 15 | 54.192.35.49 | United States | AS16509Amazon.com, Inc. |
| 15 | 92.123.104.19 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 15 | 20.15.2.69 | Boydton, Virginia, United States | AS8075Microsoft Corporation |
| 198 | 13 | - | - |
Detected Technologies15
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
Scan History
Scan history not available
Unable to load historical scan data