Security Scan Report: legalaidnyc.org

Submitted: Dec 8, 2025, 7:23:04 PMCompleted: Dec 8, 2025, 7:25:25 PMpubliccompleted
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Summary

This website contacted 214 IPs in 8 countries across 76 domains to perform 414 HTTP transactions. The main domain is legalaidnyc.org and was registered NaN years ago.

Submitted URL: https://legalaidnyc.org/

The Cisco Umbrella rank of the primary domain is #821,154 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears legitimate and poses no security risk.

Safety Factors
Established domain age
Official brand domain
No credential or payment collection
No malicious Indicators of Compromise
Transparent donation form without payment fields
Domain age information unavailable

Details

Page Title

The Legal Aid Society: Justice in Every Borough

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

government public service

(89%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'legalaidnyc.org' is registered and has no subdomain. The core label 'legalaidnyc' covers 11 characters holding four vowels versus seven consonants. It segments into three words: legal, aid, nyc. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://legalaidnyc.org/

Page Load Overview

75.47s
Total Load Time
414
HTTP Requests
76
Domains
9.3 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:7,456 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service89% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
89%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
201216.58.209.195United States
AS15169GOOGLE
134.224.241.226Ashburn, Virginia, United States
AS14618AMAZON-AES
134.141.240.75Groningen, Groningen, Netherlands
AS396982GOOGLE-CLOUD-PLATFORM
123.23.9.39Ashburn, Virginia, United States
AS14618AMAZON-AES
118.165.140.124United States
AS16509AMAZON-02
1157.240.205.11Helsinki, Uusimaa, Finland
AS32934FACEBOOK
134.7.37.3Groningen, Groningen, Netherlands
AS19527GOOGLE-2
113.33.235.36New York, New York, United States
AS16509AMAZON-02
13.164.206.91United States
AS16509AMAZON-02
1130.211.34.183United States
AS396982GOOGLE-CLOUD-PLATFORM
414214--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140344CB204A4203E971783C5F2AAA708E3969117EB488994B3FD436DEF47EF1942725D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:lyDp0DpSc16L7ArX9htGBoCroZDNg69DxYtAJ/5muJWIOcyQ5wu2CIJfEq/W2JON:C21cCNg6jYtAJ/5muJ1qs22R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:239021:HHQMi26A0ADAUWWAGERUkZHqKAECwsKSwIEJCFGBgEMMAZCQkEUAUQKI2KDBqAgCptgYFMlSpjPoEjLRBqlJIKGCADOIrSIN

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:9383030303030301
Perceptual Hash:ada65a81568dc2ee
Difference Hash:27076727479b3333
Wavelet Hash:ffc3e303a3438383
Color Hash:#ac5397

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data