Security Scan Report: jll.pt

Redirected to:
https://www.jll.com/pt-pt/services/technology/artificial-intelligence
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Submitted: Jul 7, 2026, 12:43:08 PMCompleted: Jul 7, 2026, 12:44:55 PMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 13 domains to perform 60 HTTP transactions. The main domain is jll.com and was registered NaN years ago.

Submitted URL: https://jll.pt

Effective URL: https://www.jll.com/pt-pt/services/technology/artificial-intelligenceRedirected

The Cisco Umbrella rank of the primary domain is #834,848 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

1
Risk Score

The site is a legitimate corporate page for JLL with no malicious indicators.

Safety Factors
Established domain with long registration history
Positive business legitimacy indicators (physical address, corporate information)
Low Cisco Umbrella ranking is offset by brand ownership and lack of malicious activity
Domain age information unavailable

Details

Page Title

Inteligência Artificial para Imobiliário - Serviços | JLL

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

real estate property

(100%)

Domain Information

Domain 'jll.pt' uses the Portuguese country-code top-level domain (.pt) without a subdomain. The registrable portion 'jll' spans 3 characters holding zero vowels versus three consonants. Word splitting yields 2 words: j, ll. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jll.pt

Page Load Overview

4.48s
Total Load Time
60
HTTP Requests
13
Domains
3.0 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-PT
Text Length:8,135 chars
Detector Agreement:80%

Website Classification

Primary Category

real estate property100% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
100%
corporate business
98%
technology software
97%
government public service
91%
documentation technical
55%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
868.220.41.20Azure · CLOUDSan Jose, California, United States
AS8075Microsoft Corporation
4104.18.32.137Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
413.33.222.116Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
418.173.205.51Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
423.201.242.9Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
4104.82.100.237Hamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
423.219.139.90Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
42.16.10.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
418.173.205.96Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6014--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F3443B6423819DBB5317C7D9B5D2BB2AE085920FDDB6FC88E7C88F1417C6DAD8005B1A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Rg3hT2fuBKngz3yNegBKXIAjqjiFGjXESAaji43atPDFOA2cSOvJKpL5XzHk84f6:rJ2IJZevmubbTuGuruPujVmmV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:257242:GFS4jjRSKAiEgIGAMkcx0IJAQAgGAcCIAhQAFQSAujMzIiAwBwmWVAwCYPQoHoTLRgKgAUwFwCmoVBzoJkQCCAEDAiXuQiEB

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:ffffff9f0b030f0f
Perceptual Hash:bfc0b1461bd0e49b
Difference Hash:6071607b7b667e7a
Wavelet Hash:3fbf9f0901030f0f
Color Hash:#d2ad79

Scan History

Scan history not available

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