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Security Scan Report: engage.bullhorn.com

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Submitted: Oct 12, 2025, 7:02:45 PMCompleted: Oct 12, 2025, 7:04:35 PMpubliccompleted
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Summary

This website contacted 60 IPs in 3 countries across 18 domains to perform 46 HTTP transactions. The main domain is engage.bullhorn.com and was registered NaN years ago.

Submitted URL: https://engage.bullhorn.com/engage-boston-2022/speakers/michael-strahan/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational page with no security concerns.

Safety Factors
Established domain age and reputable parent domain (bullhorn.com)
Standard informational page with no data collection beyond cookie consent
Domain age information unavailable

Details

Page Title

engage.bullhorn.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(74%)

Domain Information

Domain 'engage.bullhorn.com' uses the commercial generic top-level domain (.com) and includes subdomain 'engage'. The registrable portion 'bullhorn' spans 8 characters containing 2 vowels alongside 6 consonants. Breaking it apart gives 1 word: bullhorn. Expect eight characters per word on average. The linguistic tilt is English for 'bullhorn'. Usage also turns up in Chinese (Pinyin) contexts.

Screenshot

Security scan screenshot of https://engage.bullhorn.com/engage-boston-2022/speakers/michael-strahan/

Page Load Overview

64.16s
Total Load Time
46
HTTP Requests
18
Domains
890 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:7,272 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism74% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
74%
healthcare medical
72%
entertainment media
71%
corporate business
59%
forum community discussion
28%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46104.18.10.207United States
AS13335CLOUDFLARENET
013.226.244.98United States
AS16509AMAZON-02
0151.101.66.137San Francisco, California, United States
AS54113FASTLY
0104.18.32.137United States
AS13335CLOUDFLARENET
03.14.55.68Columbus, Ohio, United States
AS16509AMAZON-02
0104.18.87.42United States
AS13335CLOUDFLARENET
0104.17.24.14United States
AS13335CLOUDFLARENET
023.219.230.211Brussels, Brussels Capital, Belgium
AS16625AKAMAI-AS
0104.18.86.42United States
AS13335CLOUDFLARENET
013.226.244.120United States
AS16509AMAZON-02
4660--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135F3705B39A4631AEBD3875CA6627A88B920985FFD335CECF14D53784BCC7E24C1160A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:D5lapGbjlZVzxd0FbcYkp7tY+eu38QSr6vEz9JAeuYQ9ot89O4+fJI7I/IRI7/85:D5UU10FV+rSuYKotuf4w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:168319:AAQEiQ9kOiAhGAxEAMARrApBBmhsEMSELDhIAEiFvSQtAAoAjmRjB0Isl8Y8QUogAAQIBYaAMYIogFKfyXRGADAYiACAItgR

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:00c3c3ffffffffff
Perceptual Hash:b130724f4f4b4b1b
Difference Hash:cf1e9e0e0e060e0e
Wavelet Hash:00c2c3e3e3e3e3e3
Color Hash:#c1e06c

Other Hashes

Crop Resistant:cf1e9e0e0e060e0e,4a4acb496d4bca4a,0129d7d9d9d3d1d1,2122481a201a5a3a

Scan History

Scan history not available

Unable to load historical scan data