ScanMalware.com

Security Scan Report: fitnyc.edu

Redirected to:
https://www.fitnyc.edu/
Submitted: Apr 19, 2026, 9:44:56 PMCompleted: Apr 19, 2026, 9:46:04 PMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 14 domains to perform 94 HTTP transactions. The main domain is fitnyc.edu and was registered NaN years ago.

Submitted URL: https://fitnyc.edu

Effective URL: https://www.fitnyc.edu/Redirected

The Cisco Umbrella rank of the primary domain is #334,680 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate, with an established domain, matching brand metadata, and no malicious indicators.

Safety Factors
Well‑established domain with long registration history
Brand consistency between domain and meta tags
No suspicious external links or redirects
No IDS or network alerts
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(78%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'fitnyc.edu' is registered with no subdomain. Count 6 characters in 'fitnyc' containing 1 vowel alongside 5 consonants. It segments into two words: fit, nyc. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fitnyc.edu

Page Load Overview

10.58s
Total Load Time
176
HTTP Requests
44
Domains
11.9 MB
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:56,397 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning78% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
78%
education
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20142.250.154.97United States
AS15169Google LLC
13146.75.120.217Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
132.18.64.220United States
AS32934
13162.159.128.61United States
AS13335Cloudflare, Inc.
13184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13104.16.174.226Unknown
AS16625
13104.18.2.5United States
AS13335Cloudflare, Inc.
13151.101.2.137United States
AS54113Fastly, Inc.
13104.18.3.5United States
AS13335Cloudflare, Inc.
13146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
17613--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F742F426F893137122BA3CD7821DB56F0F3644FD22A1F4539AC27576F8AE69390684F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:spspRaVsEQyhOIJgSWg075nbuY8YLaN834gGWovIvbVc/u4To0:aaUBgSCYN/r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:348856:kwUWDoB8F9NCYKNwmAAqhQMMYwAE4DEDYQlkhAgAx6CjVgZuEjFgBMsklkAABJMEgiSixDAYw3MTLC4I2QbmgIACwBhBFA8D

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:ff0103010187f7ff
Perceptual Hash:be19c0c4d9e69987
Difference Hash:cc5f5f7d652d6dcd
Wavelet Hash:ff0103010187f7ff
Color Hash:#6abf40

Other Hashes

Crop Resistant:cc5f5f7d652d6dcd,0fe1696d6d69696f,e9791d9d9c552d5c,96d6d6160b6b7736,d8d1a38b3c1bbf7c,c979194505058585

Scan History

Scan history not available

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