Security Scan Report: geapp.file.force.com

Redirected to:
https://geappliances.okta.com/app/salesforce/exkbzharwbGZAnDgZ697/sso/...
Submitted: Apr 17, 2026, 5:21:25 AMCompleted: Apr 17, 2026, 5:22:38 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 4 domains to perform 18 HTTP transactions. The main domain is geappliances.okta.com and was registered NaN years ago.

Submitted URL: https://geapp.file.force.com

Effective URL: https://geappliances.okta.com/app/salesforce/exkbzharwbGZAnDgZ697/sso/samlRedirected

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: 80%

7
Risk Score

The site shows strong malware indicators despite its age and reputation; treat as high‑risk and avoid use.

Risk Factors
Critical malware IDS alert indicating possible data exfiltration
Highly obfuscated JavaScript code
Brand impersonation (GE Appliances) on non‑official domain
Redirect to external SSO service without clear purpose
Domain age information unavailable

Details

Page Title

GE Appliances, a Haier company - Sign In

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(68%)

Domain Information

The domain name 'geapp.file.force.com' uses the commercial generic top-level domain (.com) and includes subdomain 'geapp.file'. The core label 'force' covers 5 characters with 2 vowels and three consonants. Segmentation suggests one word: force. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://geapp.file.force.com

Page Load Overview

4.37s
Total Load Time
24
HTTP Requests
5
Domains
1.7 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
Text Length:462 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
68%
technology software
67%
corporate business
59%
adult content
47%
government public service
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
813.248.212.212United States
AS16509Amazon.com, Inc.
8155.226.156.223United States
865.9.175.55United States
AS16509Amazon.com, Inc.
243--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C7536B890A4ACCDE06D1AE18A63B850635438BD3C695DEC077FCCECA9FA9D0B741E54D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hXibDmJ9pewRVL9Zb9GAJ9pewRVL9Zb9GW7J9pewRVL9Zb9GF:hybSxtZZFxtZZRxtZZg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64642:AKLSACCIRMmwCiALHPlClMgQBUBAJoSJkoGMpAkXEAHAKFoRIAApGPDYANAAYCY0RAIOpqACMsFEpAEAAAmSYZWQNjj8hQmR

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:7f7fffffffffffff
Perceptual Hash:800000013fffffff
Difference Hash:8080000000000000
Wavelet Hash:3030303000000000
Color Hash:#e09e6c

Other Hashes

Crop Resistant:8080000000000000

Scan History

Scan history not available

Unable to load historical scan data