Security Scan Report: fi-fccs.my.salesforce.com

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Submitted: Sep 22, 2026, 7:59:16 AMCompleted: Sep 22, 2026, 7:59:37 AMpubliccompleted

This website contacted 13 IPs in 3 countries across 8 domains to perform 57 HTTP transactions. The main domain is fi-fccs.my.salesforce.com and was registered 5 years ago.

Submitted URL: https://fi-fccs.my.salesforce.com

The Cisco Umbrella rank of the primary domain is #1,775 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Official Salesforce login page on a legitimate Salesforce-owned domain. No phishing, malware, or impersonation indicators. Safe to use.

Safety Factors (5)
Established, well-known domain with 27-year history
Official Salesforce login page with proper branding and security tokens
All form submissions are same-origin
No credential exfiltration or malicious JavaScript behavior detected
Business legitimacy indicators present (legitimacy score 40/100)
Domain age information unavailable

Details

Page Title

Login | Salesforce

Scan Type

public

Domain Name Analysis

The domain name 'fi-fccs.my.salesforce.com' uses the commercial generic top-level domain (.com) with subdomain 'fi-fccs.my'. The second-level label 'salesforce' is 10 characters long with 4 vowels and six consonants. Tokenizing the label suggests two words: sales, force. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fi-fccs.my.salesforce.com

Page Load Overview

1.15s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-us
Text Length:496 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
56%
technology software
40%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9155.226.157.97Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
4155.226.157.98Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
4155.226.157.99Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
4145.224.209.234Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
42.22.89.194Akamai · CDNVienna, Vienna, Austria
AS20940Akamai International B.V.
42.16.204.96Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
42.16.204.97Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
42.22.89.149Akamai · CDNVienna, Vienna, Austria
AS20940Akamai International B.V.
42.22.89.137Akamai · CDNVienna, Vienna, Austria
AS20940Akamai International B.V.
42.22.89.173Akamai · CDNVienna, Vienna, Austria
AS20940Akamai International B.V.
5713--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A2162774013A428D253DB2094F1F6092836E269AA901F68FC3520BEEAD1B8D8093FDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hMNmV5+IAyZDXxABaxIslhnZZ0WeE9XkFSeIwM/TmRRWCeP8XMhibhtG:Im/+EdAMhlYEESeVOiDWCA8ci9M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1249:AAAgAABAAAARCAAQAACBIAQAAIAAAAAAAAMQAAAAACAAAEAAQAQAAAQAIgIAAAAAAgAABAAAAAAAQAAAgCAAIhAAIAAAAkEI

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:f090f090f0f0f0f0
Perceptual Hash:ee3ee0e32622c3c3
Difference Hash:2726242444642424
Wavelet Hash:f0b0f090f0f0f0f0
Color Hash:#d22d69

Other Hashes

Crop Resistant:2726242444642424

Scan History

Scan history not available

Unable to load historical scan data