Security Scan Report: scheduler-eu.citrixworkspacesapi.net

Redirected to: https://scheduler-eu.citrixworkspacesapi.net/index.html

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Submitted: Feb 25, 2026, 8:38:12 AMCompleted: Feb 25, 2026, 8:39:22 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is scheduler-eu.citrixworkspacesapi.net and was registered NaN years ago.

Submitted URL: https://scheduler-eu.citrixworkspacesapi.net

Effective URL: https://scheduler-eu.citrixworkspacesapi.net/index.htmlRedirected

The Cisco Umbrella rank of the primary domain is #52,751 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Citrix Scheduler API documentation page; no threats detected.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
Absence of malicious Indicators of Compromise
No credential‑harvesting or payment forms
No JavaScript malware or obfuscation
Domain age information unavailable

Details

Page Title

Swagger UI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

The domain 'scheduler-eu.citrixworkspacesapi.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'scheduler-eu'. The core label 'citrixworkspacesapi' covers 19 characters containing 7 vowels alongside twelve consonants. Segmentation suggests five words: citri, x, work, space, sapi. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://scheduler-eu.citrixworkspacesapi.net

Page Load Overview

1.97s
Total Load Time
9
HTTP Requests
1
Domains
514 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:1,883 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
73%
government public service
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
920.103.12.34Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
91--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BA6383E49264117E152B5FD8FFA7932421EE92A8FD564052F69CA3BC52CFCB2F907021

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:I/kMCmllK7ujuyqGHz9ue3SMjxJuLRjG6Fpfnete3ekece8exeFeteiejeveieQG:Akx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:72090:lRQRpLMxKqlJBhBYJEhEYQhDIdoICYQ4EIYAkN8JBoTAkgOIgB0TiSEzI0IwCWEOQ65pEAuYQCpKIkBhYVRGmgwAtEiQgRIQ

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:00ffbf9f9fbfbfbf
Perceptual Hash:bf34343634363636
Difference Hash:9c706773736b6361
Wavelet Hash:009f919f819f819f
Color Hash:#7a2d86

Scan History

Scan history not available

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