Security Scan Report: auth.workdayspend.com

Redirected to: https://auth.workdayspend.com/sign-in

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Submitted: Feb 18, 2026, 11:51:47 PMCompleted: Feb 18, 2026, 11:53:06 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is auth.workdayspend.com and was registered NaN years ago.

Submitted URL: https://auth.workdayspend.com

Effective URL: https://auth.workdayspend.com/sign-inRedirected

The Cisco Umbrella rank of the primary domain is #151,100 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing site impersonating Workday login; do not enter credentials.

Risk Factors
Brand impersonation (Workday) on an unrelated domain
Credential‑harvesting login form
Low domain ranking for brand claim
Domain age information unavailable

Details

Page Title

auth.workdayspend.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'auth.workdayspend.com' uses the commercial generic top-level domain (.com) with subdomain 'auth'. The registrable portion 'workdayspend' spans 12 characters with 3 vowels and 9 consonants. Segmentation suggests 2 words: workday, spend. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://auth.workdayspend.com

Page Load Overview

4.72s
Total Load Time
16
HTTP Requests
4
Domains
562 KB
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:274 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1634.226.88.223Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
161--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE048F773296063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:TfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsza2bMy8OldK:shoC9JSqzzbs6o3Sj3gcrsG2eAI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184496:AQAgwJIySDYCRlUsKBxRogiCwiCDIBJgYITQggiBEYFAcoQzIAGAAIQCoQbNS8EKaAEJ7IgInEEAQIQAJZDlBCyOWFIc0kQd

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:ffcfc3c7ffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#553a78

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data