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Security Scan Report: app.swiftcourt.com

Redirected to: https://app.swiftcourt.com/#/en/login

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Submitted: Dec 4, 2025, 1:04:01 PMCompleted: Dec 4, 2025, 1:05:51 PMpubliccompleted
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Summary

This website contacted 31 IPs in 5 countries across 11 domains to perform 34 HTTP transactions. The main domain is app.swiftcourt.com and was registered NaN years ago.

Submitted URL: https://app.swiftcourt.com/

Effective URL: https://app.swiftcourt.com/#/en/loginRedirected

AI Security Verdict

Safe Website

Confidence: 95%

2
Risk Score

Legitimate login page for Swiftcourt; no significant security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
Standard login functionality
No payment or sensitive data collection beyond credentials
No suspicious hosting or redirects
Domain age information unavailable

Details

Page Title

Swiftcourt

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

e-commerce shopping

(30%)

Domain Information

You're looking at domain 'app.swiftcourt.com' on the commercial generic top-level domain (.com) with subdomain 'app'. The second-level label 'swiftcourt' is 10 characters long containing 3 vowels alongside 7 consonants. Segmentation suggests 2 words: swift, court. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.swiftcourt.com/

Page Load Overview

1.39s
Total Load Time
34
HTTP Requests
11
Domains
4.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
Text Length:623 chars
Detector Agreement:50%

Website Classification

Primary Category

e-commerce shopping30% confidence
Type: webapp
Method: ml+structural

All Detected Categories

e-commerce shopping
30%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1334.247.113.125Dublin, Leinster, Ireland
AS16509AMAZON-02
4142.250.185.195United States
AS15169GOOGLE
4142.250.184.195United States
AS15169GOOGLE
4142.250.185.104United States
AS15169GOOGLE
3216.239.34.36United States
AS15169GOOGLE
3142.250.186.174United States
AS15169GOOGLE
274.125.206.154United States
AS15169GOOGLE
2104.17.24.14United States
AS13335CLOUDFLARENET
1216.239.32.36United States
AS15169GOOGLE
174.125.206.156United States
AS15169GOOGLE
3431--

Detected Technologies1

HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11642333284446D3B1757C1D4B3B66B2BFAE2845DCE972E0467F843C41EFBC52AC5A292

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ed1iEH+F2/A3xq+27UIECJek3F55SQ8jeJvd/d9tPa08:eoF2/Wq+27UIEC0k3F5R8jZ7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12119:YRCIAECMQIJjiAULAGEgRgATkAEXSBAiAwkLBmPEgQUNHp10nweKgAGDQEVIIDgBTCAEMQFsAsAiGAEAEKMARxBLFwTmwY4A

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:00003c3c3c3c3c3c
Perceptual Hash:827d7428d3c3db23
Difference Hash:3133e9e9e9f1e949
Wavelet Hash:00003c7c7d7d7d7c
Color Hash:#3a7778

Other Hashes

Crop Resistant:3133e9e9e9f1e949

Scan History

Scan history not available

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