Security Scan Report: station.innovatingjustice.org

Redirected to: https://login.microsoftonline.com/3456fe92-cbd1-406d-b5a3-5364bec0a833/saml2?sso_reload=true

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Submitted: Dec 26, 2025, 8:17:09 PMCompleted: Dec 26, 2025, 8:17:23 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 46 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://station.innovatingjustice.org

Effective URL: https://login.microsoftonline.com/3456fe92-cbd1-406d-b5a3-5364bec0a833/saml2?sso_reload=trueRedirected

The Cisco Umbrella rank of the primary domain is #358,197 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

High‑risk phishing page impersonating NY Courts to steal credentials

Risk Factors
Brand impersonation of NYCOURTS.GOV on station.innovatingjustice.org
Credential harvesting login form
Low domain ranking for brand claim
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'station.innovatingjustice.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'station'. The second-level label 'innovatingjustice' is 17 characters long holding seven vowels versus ten consonants. Segmentation suggests 2 words: innovating, justice. Expect 8.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://station.innovatingjustice.org

Page Load Overview

1.90s
Total Load Time
32
HTTP Requests
8
Domains
790 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:109 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
823.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
452.167.233.31Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
420.42.73.31Washington, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
420.190.160.128GermanyUnknown
420.190.160.17UnknownUnknown
413.107.246.45United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
420.190.159.2UnknownUnknown
327--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5734BEA7EB32937824651B5B9797E02AA3A5D038C4CDD64F18CC9842FFB70C8163653

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lq8GLGGkpasGP8WzTEyqU6MVnvnaloMPtJEI9/i7MC:g8Pad81yS27MC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:75315:KRxCE8MQQSwwKQAA1Aa0wBi+gYgAJxwCAIhrgKGJHEtMBtpO0ISKQw2UQso4AHBGaAB6eA0AERKaACSmAUZIQEsgAGgNaIEo

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:0000181818180000
Perceptual Hash:8dc072278c9fd9cc
Difference Hash:d08cf272f2724cf3
Wavelet Hash:30703c3c3c3c3e00
Color Hash:#a440bf

Other Hashes

Scan History

Scan history not available

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