Security Scan Report: www.macquarie.com

Submitted: Nov 25, 2025, 1:06:33 PMCompleted: Nov 25, 2025, 1:09:09 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 4 domains to perform 51 HTTP transactions. The main domain is macquarie.com and was registered NaN years ago.

Submitted URL: https://www.macquarie.com/au/en/careers/our-people/dan-driscoll-from-training-to-be-a-us-naval-officer-to-a-career-in-financial-services.html

The Cisco Umbrella rank of the primary domain is #239,252 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Page shows a legitimate brand but low ranking raises brand impersonation concerns.

Risk Factors
Low Cisco Umbrella ranking (239,252) despite brand claim
Brand impersonation risk due to low ranking for a well‑known corporate brand
Domain age information unavailable

Details

Page Title

Dan Driscoll: From training to be a U.S. Naval officer to a career in financial services | Macquarie Group

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(50%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.macquarie.com' is registered, featuring subdomain 'www'. The core label 'macquarie' covers 9 characters holding five vowels versus four consonants. Breaking it apart gives 1 word: macquarie. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.macquarie.com/au/en/careers/our-people/dan-driscoll-from-training-to-be-a-us-naval-officer-to-a-career-in-financial-services.html

Page Load Overview

0.61s
Total Load Time
51
HTTP Requests
4
Domains
2.4 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:14,035 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
50%
government public service
42%
finance banking
35%
documentation technical
25%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
42146.75.123.10Frankfurt am Main, Hesse, Germany
AS54113FASTLY
9172.64.155.119United States
AS13335CLOUDFLARENET
8104.18.32.137United States
AS13335CLOUDFLARENET
72a06:98c1:3104::6812:2089United States
AS13335CLOUDFLARENET
72a06:98c1:310d::ac40:9b77United States
AS13335CLOUDFLARENET
72a00:1450:4001:811::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
1216.58.206.72United States
AS15169GOOGLE
517--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176D37212A4D13423A0D2A6F8A4797A7BED51880BDA0B6C5036FC536A9FD2FC35E7710D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:PLJeiczUN5NobOhdow1dufmoSuhGHu14M1vyegHpG:PLsdROhdjP+TSsBa8VgHY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:132379:NqEQAAWemFVjEFU4BrLAsBD8WImZFoWZDAECYJiQIgEoEAMc2AJQBxEQ5AACOIgAIKICkTkABa1i8QAOPCELhrCpsg1ohWkB

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:000b03030111ffff
Perceptual Hash:a82df54a65d5626a
Difference Hash:b3f3f7f3f5e51996
Wavelet Hash:001b131b0171ffff
Color Hash:#7dac53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data