Summary
This website contacted 6 IPs in 3 countries across 7 domains to perform 18 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.
Submitted URL: https://brighthorizons.file.force.com
Effective URL: https://login.microsoftonline.com/0aad2ef9-8871-4f4b-9f84-bb6fb9dc58de/saml2?sso_reload=trueRedirected
The Cisco Umbrella rank of the primary domain is #1,491 of the top 1 million websitesTop 10K Site
AI Security Verdict
High Risk
Confidence: 72%
The site shows strong malware‑related alerts and heavily obfuscated scripts despite a reputable domain, warranting high risk and caution.
Risk Factors
Details
Page Title
Sign in to your account
Scan Type
public
Language
English
Category
government public service
(40%)Domain Information
The domain name 'brighthorizons.file.force.com' uses the commercial generic top-level domain (.com) with subdomain 'brighthorizons.file'. The second-level label 'force' is 5 characters long split between 2 vowels and 3 consonants. Splitting it apart reveals one word: force. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 2 | 20.190.160.4 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 2 | 40.126.32.140 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 2 | 13.89.179.14 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 2 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 2 | 23.53.42.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 35.158.127.52 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 12 | 6 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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