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Security Scan Report: meetings.hubspot.com

Redirected to: https://meetings.hubspot.com/jordan-brower1?uuid=7891aa2f-6685-4c51-a1a1-46b94b6f3766

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Submitted: Jan 8, 2026, 4:16:07 PMCompleted: Jan 8, 2026, 4:17:51 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 6 domains to perform 1 HTTP transaction. The main domain is meetings.hubspot.com and was registered NaN years ago.

Submitted URL: https://meetings.hubspot.com/jordan-brower1

Effective URL: https://meetings.hubspot.com/jordan-brower1?uuid=7891aa2f-6685-4c51-a1a1-46b94b6f3766Redirected

The Cisco Umbrella rank of the primary domain is #1,724 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate HubSpot meeting page with no security concerns.

Safety Factors
Well‑established domain with long registration history
High Cisco Umbrella ranking indicating reputable site
Official HubSpot meeting scheduling service
No data‑collection forms present
Generic error message only, no social‑engineering content
Domain age information unavailable

Details

Page Title

Meet with Jordan Brower

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(52%)

Domain Information

The domain 'meetings.hubspot.com' uses the commercial generic top-level domain (.com) with subdomain 'meetings'. Its registrable label 'hubspot' stretches across 7 characters with 2 vowels and five consonants. Breaking it apart gives 2 words: hub, spot. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://meetings.hubspot.com/jordan-brower1

Page Load Overview

2.75s
Total Load Time
50
HTTP Requests
21
Domains
467 KB
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-us
Text Length:602 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism52% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
52%
adult content
45%
cryptocurrency blockchain
40%
healthcare medical
39%
government public service
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18104.17.91.187United States
AS13335CLOUDFLARENET
16104.17.22.24United States
AS13335CLOUDFLARENET
16104.17.92.187United States
AS13335CLOUDFLARENET
503--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C639690EE00C4632EE281452C7576B2E064CE738171B079E3EF4DAD86BD59B573E62E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:CmNP7fujaWO9RXobspa7I8sacx9p9Xo2pAlS46nbeDBMbI8V/CZH0Vw+E0S99fSo:HP6O9E0xclSduZl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:69612:gCAQwMATECQQNYlErUAIBORQAAkEAgw1TCVBKBQALRE1IBLoxA8tAAEkAIXmE0gSPZBQgeK8kAVLIMChhiFKoU4Cg16UBgLI

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:ffe7e7e7ffffffff
Perceptual Hash:b333cccccc8ccc99
Difference Hash:10080c0c00000000
Wavelet Hash:fce4e0e0f0f0f0f0
Color Hash:#2dd28d

Other Hashes

Crop Resistant:10080c0c00000000

Scan History

Scan history not available

Unable to load historical scan data