Security Scan Report: gec2.dev.lululemon.app

Redirected to:
https://login.microsoftonline.com/59762c14-55e8-4b58-806e-f6cc47d75b19...
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Submitted: Completed: publiccompleted
This website contacted 11 IPs in 4 countries across 7 domains to perform 21 HTTP transactions. The main domain is lululemon.app and was registered 8 years ago.

Submitted URL: https://gec2.dev.lululemon.app

Effective URL:
https://login.microsoftonline.com/59762c14-55e8-4b58-806e-f6cc47d75b19...
Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate lululemon-branded Microsoft tenant sign-in flow hosted on login.microsoftonline.com. No phishing, malware, or credential-exfiltration evidence was detected.

Safety Factors (5)
Authentication occurs on the official login.microsoftonline.com domain
Form submissions target login.microsoftonline.com, the expected Microsoft identity endpoint
No credential exfiltration was detected
No Indicators of Compromise, YARA malware hits, IDS phishing/malware alerts, or kit-roster matches
Microsoft CDN and telemetry domains loaded by the page are normal for this login experience
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

Domain 'gec2.dev.lululemon.app' uses the application-focused generic top-level domain (.app) with subdomain 'gec2.dev'. The core label 'lululemon' covers 9 characters containing four vowels alongside five consonants. It segments into two words: lulu, lemon. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gec2.dev.lululemon.app

Page Load Overview

1.39s
Total Load Time
796 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:109 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network88% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
88%
e-commerce shopping
61%
news media journalism
48%
technology software
48%
adult content
47%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1140.126.32.72Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
1172.172.255.228Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
123.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
120.190.159.64Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
14.150.223.104Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
140.126.32.76Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
120.190.160.130Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
140.126.32.133Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
123.207.210.136Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2111--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA836CE97FA2193B868A4479B5B97E02AF3A5C038808CD64F15CCD842FFB74D4163617

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FppVx8GLG23O1ZaVwdClI9WonIZ9Tjuokmap5vPoMLuVf09CDinC:xX8z1ZaVwklGWPa/AaC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87681:QTF6AYlskCAlGbIwAaUQAAKBABjB3Il06yNhEQ9YARuhZcIEFhClAWcFTE0wBJDWRCQIIGyQAYBS1aJSeGpASjBkaAJjIACc

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:f08018393b390908
Perceptual Hash:89f532e3cd589d18
Difference Hash:801c3272f273b1f5
Wavelet Hash:f8c6193b3b39190d
Color Hash:#931f3c

Scan History

Scan history not available

Unable to load historical scan data