Security Scan Report: infa.lightning.force.com

Redirected to:
https://sso.informatica.com/app/salesforce/exk19ugmvb6fyKnxv1d8/sso/sa...
Site favicon
Submitted: Sep 20, 2026, 6:25:02 PMCompleted: Sep 20, 2026, 6:25:21 PMpubliccompleted

This website contacted 11 IPs in 2 countries across 5 domains to perform 27 HTTP transactions. The main domain is sso.informatica.com and was registered 11 years ago.

Submitted URL: https://infa.lightning.force.com

Effective URL:

https://sso.informatica.com/app/salesforce/exk19ugmvb6fyKnxv1d8/sso/sa...
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: 92%

0
Risk Score

Official Informatica SSO login page on sso.informatica.com using Okta/SAML. No password or payment collection, no impersonation, and no malicious indicators. Safe to use.

Safety Factors
Final domain belongs to Informatica, a well-known enterprise software company
Single sign-on flow uses legitimate Okta infrastructure
No credential or payment fields on the captured page
No malicious technical indicators from network, JavaScript, or threat-intelligence analysis
Domain age information unavailable

Details

Page Title

Informatica - Sign In

Scan Type

public

Domain Name Analysis

The domain 'infa.lightning.force.com' uses the commercial generic top-level domain (.com), featuring subdomain 'infa.lightning'. The registrable portion 'force' spans 5 characters containing 2 vowels alongside three consonants. Word splitting yields one word: force. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://infa.lightning.force.com

Page Load Overview

2.09s
Total Load Time
990 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:174 chars
Detector Agreement:75%

Website Classification

Primary Category

documentation technical84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
84%
technology software
76%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7145.224.209.234Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
235.71.190.245Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2145.224.209.239Germany
AS16509Amazon.com, Inc.
2145.224.209.237Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
252.223.7.86Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
23.160.150.26Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.160.150.112Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.160.150.114Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.160.150.107Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2108.138.7.85Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2711--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D23A04417E2A43E50D378C686DFAB05260A51CB0197EDE0BFED45984F8CC66962E3F7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Anfq5e2f2Wm1G1HU9Blkc16DmIWm1G1HU9Blkc16DmQmxFfTy37dV3a+HGs:0q5e2HJol/1oIJol/1ozmxYB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49103:IguEQgmJYVSBQAAAUcDAx0SBQApzJBhAJgOUQcJooDkmCGojIsEkWFlAjkpwAO4dETiAggp6TEUWSIUCU8G8CoEAAMLAgY4J

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:1818182400180000
Perceptual Hash:9399cc646666d999
Difference Hash:2032324d08100000
Wavelet Hash:18181800dbc3f3f3
Color Hash:#9940bf

Other Hashes

Crop Resistant:2032324d08100000

Scan History

Scan history not available

Unable to load historical scan data