Security Scan Report: better-together.lightning.force.com

Redirected to:
https://better-together.my.salesforce.com/
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Submitted: Jul 11, 2026, 2:29:53 AMCompleted: Jul 11, 2026, 2:31:04 AMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 9 domains to perform 66 HTTP transactions. The main domain is better-together.my.salesforce.com and was registered NaN years ago.

Submitted URL: https://better-together.lightning.force.com

Effective URL: https://better-together.my.salesforce.com/Redirected

The Cisco Umbrella rank of the primary domain is #1,491 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

The page is a legitimate Salesforce login hosted on an official subdomain with no malicious indicators.

Safety Factors
Established domain owned by Salesforce
Legitimate credential collection for a known service
No malicious code or external exfiltration
High reputation ranking
Domain age information unavailable

Details

Page Title

Login | Salesforce

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(49%)

Domain Information

Within the commercial generic top-level domain (.com), 'better-together.lightning.force.com' is registered; it also runs on subdomain 'better-together.lightning'. The core label 'force' covers 5 characters with two vowels and 3 consonants. Tokenizing the label suggests 1 word: force. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://better-together.lightning.force.com

Page Load Overview

1.53s
Total Load Time
66
HTTP Requests
9
Domains
1.4 MB
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-us
Text Length:528 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business49% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
49%
technology software
44%
social_media
25%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14160.8.236.2London, England, United Kingdom
AS14340Salesforce.com, Inc.
4172.64.155.231Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
423.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4145.224.209.234Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
423.36.162.201Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4160.8.237.2London, England, United Kingdom
AS14340Salesforce.com, Inc.
423.36.162.199Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4145.224.209.239Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
4145.224.209.237Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
423.36.162.206Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6614--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FB42C6B75E358C3306038999B8E0FF5C346EC32E83459E987ABC105AA3DBC99457096E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:b3bkzO9OgHhgJaAes7Y0haRMiFmqvvEhbjQrN28MfWJm2LvIKQtpfsEj:j0JaeEh3mGrNtMfWJFLvDQvE2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12501:pHIduIEBECCWhHEPuJeEkZIhAR0KPGMhomQWCtNnpISWLgGIICLYgEJDEQRuQBl4BBMCAjUFGkhF8nLBgyABLELBHHAnCKGl

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:0f0f6f6f6f0f0f0f
Perceptual Hash:b18b3e5cd1e1c394
Difference Hash:dbdfdedadcdcde1c
Wavelet Hash:0f0f0f6f0f0e070f
Color Hash:#783a4a

Scan History

Scan history not available

Unable to load historical scan data