Security Scan Report: signin.resourcecenter.workday.com

Redirected to: https://digital.workday.com/en-us/login.html

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Submitted: Mar 5, 2026, 12:19:22 AMCompleted: Mar 5, 2026, 12:21:02 AMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 12 domains to perform 65 HTTP transactions. The main domain is digital.workday.com and was registered NaN years ago.

Submitted URL: https://signin.resourcecenter.workday.com

Effective URL: https://digital.workday.com/en-us/login.htmlRedirected

The Cisco Umbrella rank of the primary domain is #13,618 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate Workday login page; no security concerns detected.

Safety Factors
Established domain with long registration history
Brand‑consistent domain and subdomains
Secure HTTPS connection
Legitimate login form for Workday Community
No suspicious redirects or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Log in to Workday Community | Workday

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(40%)

Domain Information

The domain name 'signin.resourcecenter.workday.com' uses the commercial generic top-level domain (.com) and includes subdomain 'signin.resourcecenter'. The core label 'workday' covers 7 characters containing two vowels alongside 5 consonants. Tokenizing the label suggests 1 word: workday. Average segment length settles at 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://signin.resourcecenter.workday.com

Page Load Overview

6.03s
Total Load Time
100
HTTP Requests
17
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:431 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business40% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
40%
corporate
35%
technology software
30%

Detected Features

Login Form
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1223.52.181.12Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
852.222.136.84United States
AS16509Amazon.com, Inc.
8104.18.10.207United States
8104.17.24.14United States
8104.18.24.173United States
AS13335Cloudflare, Inc.
818.245.31.116United States
AS16509Amazon.com, Inc.
8150.171.28.10United States
AS8075Microsoft Corporation
8162.247.243.39United States
AS54113Fastly, Inc.
8104.16.80.73United StatesUnknown
813.33.187.61New York, New York, United States
AS16509Amazon.com, Inc.
10012--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B414821A56E320306563B13A9F2FE5067621810F1E89FC943D8C82A55FC997C9BF1FE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pvpghXguNroHZ0DbGwI9EKe3AlexF5PbEeoogjBcTrijNW3e:wWwI9EV3AlexF5bsVjBcTrAme

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:195189:FYYgpURwadCgB0AaAQsDRRQYEDBUkhEcBisAnUkDIADBgAYFCrQBCSIgCEQYgcIUKIBgdhmUE2EUw9iJsdaAASugpAoWAoII

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:0000000000000000
Perceptual Hash:ff00ff00ff00ff00
Difference Hash:0000000000000000
Wavelet Hash:00000000f0f0f0f0
Color Hash:#40bf84

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data