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Security Scan Report: oboe.com

Redirected to: https://oboe.com/learn/understanding-generation-z-3cpqbf/who-is-gen-z-0

Submitted: Mar 21, 2026, 3:24:11 AMCompleted: Mar 21, 2026, 3:25:41 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 7 domains to perform 57 HTTP transactions. The main domain is oboe.com and was registered NaN years ago.

Submitted URL: https://oboe.com/learn/understanding-generation-z-3cpqbf/who-is-gen-z-understanding-generation-z-0

Effective URL: https://oboe.com/learn/understanding-generation-z-3cpqbf/who-is-gen-z-0Redirected

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate informational article about Gen Z; no security concerns detected.

Safety Factors
Established domain (>25 years old)
No forms or credential harvesting
No malicious Indicators of Compromise
Article content (og:type=article) rather than impersonation
Clean JavaScript with no malware patterns
Domain age information unavailable

Details

Page Title

Who Is Gen Z - Understanding Generation Z - Understanding Generation Z

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(87%)

Domain Information

Within the commercial generic top-level domain (.com), 'oboe.com' is registered without a subdomain. Count 4 characters in 'oboe' holding 3 vowels versus one consonant. Breaking it apart gives 1 word: oboe. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oboe.com/learn/understanding-generation-z-3cpqbf/who-is-gen-z-understanding-generation-z-0

Page Load Overview

3.91s
Total Load Time
55
HTTP Requests
7
Domains
1.2 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:5,142 chars
Detector Agreement:75%

Website Classification

Primary Category

education learning87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
87%
social media network
85%
documentation technical
68%
technology software
52%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1334.160.81.0Kansas City, Missouri, United States
AS396982Google LLC
7130.211.34.183United States
AS14618
752.217.235.161United States
AS396982
7172.217.16.195United StatesUnknown
7142.251.36.106United StatesUnknown
718.211.100.173Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
7142.251.127.97United States
AS15169Google LLC
557--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Google Analytics
35%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7733CA07204017E05178BD4F6D1E37CD25AF384CB278859B2DC015F7BC2EE96EA5B96

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:APCM0rGV4xksc64Jysq7v1BB5QzaeqHbYXYkYWpY3/SZYGYw2Tx/SZYy0FdhNYvn:qCMebx/c64Jysq7vLpTnrOoi1/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74243:kxBY0WWkPPgADEUITDglQAiMS4wEhPINwJKBGEABcixBNEpIA24RiEiTAoBQSbackBASQQidZichsICJCHDwARKIUZpwaMRQ

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:3f2be37fc1e3e7ff
Perceptual Hash:a30196235b9e6c77
Difference Hash:d8decedc4fcb080e
Wavelet Hash:3e226263c161e7e7
Color Hash:#d29e79

Other Hashes

Crop Resistant:d8decedc4fcb080e

Scan History

Scan history not available

Unable to load historical scan data