Security Scan Report: www.nymcu.org

Redirected to:
https://www.nymcu.org/schedule-an-appointment
Site favicon
Submitted: Completed: publiccompleted
This website contacted 73 IPs in 3 countries across 50 domains to perform 449 HTTP transactions. The main domain is nymcu.org and was registered 28 years ago.

Submitted URL: https://www.nymcu.org/

Effective URL:
https://www.nymcu.org/schedule-an-appointment
Redirected

The Cisco Umbrella rank of the primary domain is #317,109 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

Established credit union (nymcu.org, registered 1998) scheduling-appointment page with matching own-branding, no payment fields, no threat-intelligence or malware hits, and same-organization login flows. Legitimate.

Safety Factors (5)
28-year-old, well-established domain with minimal age risk
Page brand (MCU) matches the registered domain — no impersonation of another entity
No payment or card fields present on the captured page
No Indicators of Compromise, malware signatures, or IDS alerts
Login-related form posts stay within the organization's own digital.nymcu.org subdomain
Domain age information unavailable

Details

Page Title

Schedule an Appointment | Municipal Credit Union

Scan Type

public

Domain Name Analysis

The domain 'www.nymcu.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. Count 5 characters in 'nymcu' holding 1 vowel versus 4 consonants. Splitting it apart reveals three words: ny, m, cu. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Branches/ATMs Rates Support ScheduleanAppointment —_@ Search hac) CHECKING & SAVINGS LOANS HOMELOANS INVEST LEARN ABOUT ‘OPEN AN ACCOUNT} MUNICIPAL CREDIT UNION] Schechile an Appeiitneant Home /Sc...

Page Load Overview

6.26s
Total Load Time
7.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:20,561 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(99%)🇷🇴ro(1%)🇪🇪et(1%)

Website Classification

Primary Category

government public service50% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
50%
education learning
41%
news media journalism
39%
finance banking
36%
social_media
25%

Detected Features

Login Form
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
215199.60.103.228Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
28104.18.28.155Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
14104.17.92.187Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
12104.17.91.187Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11216.239.32.36Google · CDNUnited States
AS15169Google LLC
1118.244.20.226Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
9142.251.14.94Google · CDNUnited States
AS15169Google LLC
832.188.233.28Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
84.153.72.49Azure · CLOUDBoydton, Virginia, United States
AS8075Microsoft Corporation
44973--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E2B4735FC0E13822410391B4BA61BF16BAA1D26BE74D5E44B9EE0369DFC1EE2DC5724C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RBZSRzNBFTibYi+ldHi0x6zdYJflLl3Icnx1l4Qssj:RBZuJzTibYiyi08S1x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:517192:BEgjlYgjIBRCSpEC+jTCIEQjDEAHGjzDBBAIABRQAUEYQJDgKNRVgD1JBqkChIgT1sqkFETKGIkQwjoRTEJpBJQlhWBoHE2I

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:ff0000ff9f8787df
Perceptual Hash:be4343bec1b9903c
Difference Hash:6be1e5003f3f3f3f
Wavelet Hash:bf0000ff8f83839f
Color Hash:06000000380

Scan History

Scan history not available

Unable to load historical scan data