Security Scan Report: philipsb2c--maps.vf.force.com

Redirected to: https://login.microsoftonline.com/1a407a2d-7675-4d17-8692-b3ac285306e4/saml2?sso_reload=true

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Submitted: Feb 6, 2026, 4:43:00 AMCompleted: Feb 6, 2026, 4:44:21 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://philipsb2c--maps.vf.force.com

Effective URL: https://login.microsoftonline.com/1a407a2d-7675-4d17-8692-b3ac285306e4/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

Low Risk

Confidence: 95%

2
Risk Score

The site appears legitimate; it redirects to an official Microsoft login page.

Safety Factors
Well‑established domain
High reputation ranking
Legitimate Microsoft SSO redirect
Absence of malicious Indicators of Compromise
No malware or suspicious scripts detected
Domain age information unavailable

Details

Page Title

philipsb2c--maps.vf.force.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'philipsb2c--maps.vf.force.com' is registered and includes subdomain 'philipsb2c--maps.vf'. Count 5 characters in 'force' holding 2 vowels versus three consonants. Word splitting yields 1 word: force. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://philipsb2c--maps.vf.force.com

Page Load Overview

8.63s
Total Load Time
20
HTTP Requests
7
Domains
449 KB
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:109 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2035.158.127.52Germany
201--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED048F77329A063986558498F05B43099F21B143F506C8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:YfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8OldQ:ThoC9JSqzzbs6o3Sj3gcrsg2eAm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184536:gRBCTERoZg6WFSUqWAG1KAp0IBYkU4FBsEKMlCADGxYXooZBVSBt1UiAgAE+AygaIAf/ZFB0JAIjQNSAkOhcLCtIHBAw6lMQ

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#53ac80

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data