Security Scan Report: connect.jll.com

Redirected to:
https://jll.okta.com/app/office365/exk1tji4328tYPpba0h8/sso/wsfed/pass...
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 9 domains to perform 18 HTTP transactions. The main domain is okta.com and was registered 22 years ago.

Submitted URL: https://connect.jll.com

Effective URL:
https://jll.okta.com/app/office365/exk1tji4328tYPpba0h8/sso/wsfed/pass...
Redirected

The Cisco Umbrella rank of the primary domain is #46,508 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate corporate login page with no security concerns.

Safety Factors (4)
Established corporate domain (connect.jll.com)
Redirects to official Okta SSO domain
No password fields or credential‑harvesting forms detected
No suspicious redirects or URL manipulation
Domain age information unavailable

Details

Page Title

jll_default - Sign In

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'connect.jll.com' is registered with subdomain 'connect'. Its registrable label 'jll' stretches across 3 characters holding zero vowels versus 3 consonants. Splitting it apart reveals two words: j, ll. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://connect.jll.com

Page Load Overview

39.11s
Total Load Time
2.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:472 chars
Detector Agreement:75%

Website Classification

Primary Category

documentation technical79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
79%
technology software
71%
adult content
40%
government public service
38%
corporate business
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
613.107.138.10Redmond, Washington, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
33.33.201.229United States
AS16509AMAZON-02
365.8.131.91United States
AS16509AMAZON-02
320.190.160.4Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3205.144.64.156United States
AS29954JLL-AM-CHI
185--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FCC282D21D59C9DE0A856D88963B461676028743C7A1EEC07BFCCEC5EFA8D0B752E24C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:IvIcFlRXO7t4RhwXroJ2SmYU37snMLk6bqVPQhvBm:IvIcLRe6RhwkwlLo1Qo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26014:ABIALoQgmgwHQJIWAgEUA5jZV2BHBAB054GEixMIfSQokRARDwAEzZCUFAQBFAUxwCs2kJhBGAAEoF4MaRw9LgAEZRYTKAag

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:3f3fffffffffffff
Perceptual Hash:83030303070fffff
Difference Hash:e0e0000000000000
Wavelet Hash:3030f0f000000000
Color Hash:N/A

Other Hashes

Crop Resistant:e0e0000000000000

Scan History

Scan history not available

Unable to load historical scan data