Security Scan Report: www.trinet.com

Submitted: Dec 21, 2025, 3:28:02 PMCompleted: Dec 21, 2025, 3:29:05 PMpubliccompleted
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Summary

This website contacted 61 IPs in 6 countries across 46 domains to perform 341 HTTP transactions. The main domain is trinet.com.

Submitted URL: https://www.trinet.com/insights/generations-in-the-workplace-boomers-gen-x-gen-y-and-gen-z-explained

The Cisco Umbrella rank of the primary domain is #97,777 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Generational Differences at Work: Boomers, Gen X, Gen Y, Gen Z

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(62%)

Domain Information

The domain 'www.trinet.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'trinet' spans 6 characters containing two vowels alongside four consonants. Splitting it apart reveals 2 words: tri, net. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.trinet.com/insights/generations-in-the-workplace-boomers-gen-x-gen-y-and-gen-z-explained

Page Load Overview

4.22s
Total Load Time
341
HTTP Requests
46
Domains
5.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:19,225 chars
Detector Agreement:80%

Website Classification

Primary Category

adult content62% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
62%
government public service
59%
technology software
58%
corporate business
55%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7415.197.167.90United States
AS16509AMAZON-02
45199.232.174.137Stockholm, Stockholm County, Sweden
AS54113FASTLY
4116.15.207.113Ashburn, Virginia, United States
AS14618AMAZON-AES
273.5.28.79United States
AS14618AMAZON-AES
11104.18.87.42United States
AS13335CLOUDFLARENET
11147.154.150.92Frankfurt am Main, Hesse, Germany
AS31898ORACLE-BMC-31898
851.8.207.171Washington, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
8104.18.17.5United States
AS13335CLOUDFLARENET
554.231.168.17Ashburn, Virginia, United States
AS16509AMAZON-02
516.15.219.12Ashburn, Virginia, United States
AS14618AMAZON-AES
34161--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3544B32B66011B75D2783E062786727F0A7E29FCB6F46C4F758422477C2C2D6A67784

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:B4rpYi1XlVy8VE7rSOQAloqvvXW2fiUU4OmgmA1eP3pewY0Of/BowTY7JWpHoX2l:yyzQAU0BBLVY1QTY1BC1Y1BmxY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:292462:IMw4kKREAAbGSGGoBkyICBACBATibS1AbAkTAl5QAUiQFMhDgJJDIsTDCdYkgwQIZJDARMAmQEBaYyBBhWBET5fDAgiYEgEg

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

Average Hash:0000ffffff83bfff
Perceptual Hash:af40322bc2decbd2
Difference Hash:69960d404b5b6d69
Wavelet Hash:0000dfff7f0107bd
Color Hash:#ca6ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data