Security Scan Report: portal.copays.org

Redirected to:
https://portal.totalassist.org/#/login
Submitted: Completed: publiccompleted
This website contacted 22 IPs in 2 countries across 13 domains to perform 62 HTTP transactions. The main domain is copays.org and was registered 23 years ago.

Submitted URL: https://portal.copays.org

Effective URL:
https://portal.totalassist.org/#/login
Redirected

The Cisco Umbrella rank of the primary domain is #561,770 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate Patient Advocate Foundation TotalAssist login portal; self-branded sign-in, SSO to the organization's own domains, no threat-intel, hunting rule or IDS hits. The Google/Adobe brand flag is a browser/reader requirement text false positive.

Safety Factors (5)
Self-branding consistent with the landing domain totalassist.org
Legitimate SSO redirect from the organization's own copays.org portal
Standard enterprise cookie-consent implementation (Cookiebot) with full cookie declaration
Same-organization form targets (portalapi.totalassist.org)
No malicious network, script or threat-intelligence signals
Domain age information unavailable

Details

Page Title

TotalAssist

Scan Type

public

Domain Name Analysis

Domain 'portal.copays.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'portal'. Count 6 characters in 'copays' with 2 vowels and 4 consonants. Segmentation suggests 2 words: co, pays. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://portal.copays.org

Page Load Overview

5.90s
Total Load Time
3.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,589 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2020.85.189.197Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
2172.67.142.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2195.181.170.19Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
265.9.130.4Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
244.217.58.236Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
223.36.162.211Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
223.212.205.83Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
244.225.154.195Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
2104.21.27.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2212.102.56.179Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
6222--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18B05C759F031257A94F385ACB2C09FAB175B8342D5415EFEF52B22E803CD8CE1667E29

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:chwkYWkgT+wnWfxAU7X/E23q3SYiLENM6HN26oEbkXF/XENM6HN26sYwGiPdQ:cM7MCEslYwGiPdQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:869827:RQCQkBCD6BBIDquQBJesZQpKrD5cEEyDoDAIGSgBQoQwUENimBMIJiUVAnACGAIBAvCkGUABFpsEYTchRFEklJ4eIRFu2utU

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:3c3c3c3c3c3c0000
Perceptual Hash:92876dc73839386d
Difference Hash:e8e8e8f8e8e8e8b3
Wavelet Hash:3c3e3e3e3e3c3c00
Color Hash:#2dd24e

Scan History

Scan history not available

Unable to load historical scan data