Security Scan Report: workday.baltimorecity.gov

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Submitted: Dec 5, 2025, 12:36:24 PMCompleted: Dec 5, 2025, 12:38:39 PMpubliccompleted
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Summary

This website contacted 135 IPs in 3 countries across 26 domains to perform 127 HTTP transactions. The main domain is workday.baltimorecity.gov and was registered NaN years ago.

Submitted URL: https://workday.baltimorecity.gov/

The Cisco Umbrella rank of the primary domain is #208,800 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official Baltimore City government domain
Long-established domain (>25 years)
Clear branding and legitimate external Workday login link
Domain age information unavailable

Details

Page Title

Workday

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

government

(95%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'workday.baltimorecity.gov' is registered; it also runs on subdomain 'workday'. The second-level label 'baltimorecity' is 13 characters long holding 5 vowels versus 8 consonants. Breaking it apart gives 2 words: baltimore, city. Average segment length settles at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://workday.baltimorecity.gov/

Page Load Overview

1.13s
Total Load Time
127
HTTP Requests
26
Domains
4.1 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:7,044 chars
Detector Agreement:67%

Website Classification

Primary Category

government95% confidence
Type: spa
Method: structural

All Detected Categories

government
95%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46146.75.122.191Frankfurt am Main, Hesse, Germany
AS54113FASTLY
22184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
10142.250.185.72United States
AS15169GOOGLE
8142.251.140.174United States
AS15169GOOGLE
7142.250.185.195United States
AS15169GOOGLE
5216.239.32.36United States
AS15169GOOGLE
4216.58.206.35United States
AS15169GOOGLE
3142.250.186.174United States
AS15169GOOGLE
3142.250.185.170United States
AS15169GOOGLE
3142.250.185.234United States
AS15169GOOGLE
127135--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191834011A908CC22C0CF59D960BAB67494BA7705C5D244D8F939DBF59BAECAEC733318

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4wIRllTkTybJ+xmoWcprFJRVcPacFKHjngS/rwfJdwfJTQTF1cKAmSkth7o78:ZIRll4TybYxmoW2rFJRVcPacFKHjnj/w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83134:B0UAAAA6ABTVRUIaARQwBrRYMytTMmEMIOgAABk8yA4gFCIQEMTUXEAUAbaZYZzWAASgwLeDBQKYAEAIfAIggIqNFgKIZIx4

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:00c3c3ffc3ffffe7
Perceptual Hash:e43c461b434b676d
Difference Hash:6116060e060e0e0e
Wavelet Hash:00c3c3e7c3e3e3c3
Color Hash:#40bf75

Scan History

Scan history not available

Unable to load historical scan data