Summary
This website contacted 26 IPs in 2 countries across 10 domains to perform 112 HTTP transactions. The main domain is jabil.com and was registered NaN years ago.
Submitted URL: https://jabil.com/
The Cisco Umbrella rank of the primary domain is #265,483 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Jabil | Engineering, Supply Chain & Manufacturing Solutions | Jabil
Scan Type
public
Language
English
Category
healthcare medical
(41%)Domain Information
Within the commercial generic top-level domain (.com), 'jabil.com' is registered and has no subdomain. The registrable portion 'jabil' spans 5 characters containing 2 vowels alongside 3 consonants. Word splitting yields 2 words: jab, il. Expect 2.5 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 |
|---|---|---|---|
| 81 | 151.101.130.132 | San Francisco, California, United States | AS54113FASTLY |
| 15 | 35.190.14.188 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 142.250.185.99 | United States | AS15169GOOGLE |
| 4 | 54.156.13.80 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 151.101.2.132 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 151.101.194.132 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 151.101.66.132 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 3.215.172.219 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 2a00:1450:4001:810::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 52.54.96.194 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 112 | 26 | - | - |
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
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