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Security Scan Report: www.baruch.cuny.edu

Submitted: Nov 19, 2025, 4:49:54 PMCompleted: Nov 19, 2025, 4:50:43 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is baruch.cuny.edu and was registered NaN years ago.

Submitted URL: https://www.baruch.cuny.edu/nycdata/uniquely_nyc/macys-thanksgiving.htm

The Cisco Umbrella rank of the primary domain is #55,983 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established university domain
No suspicious redirects or hidden forms
Content matches expected educational resource
Domain age information unavailable

Details

Page Title

NYCdata | Uniquely NYC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

You're looking at domain 'www.baruch.cuny.edu' on the sponsored educational top-level domain (.edu), featuring subdomain 'www.baruch'. The registrable portion 'cuny' spans 4 characters split between one vowel and 3 consonants. Tokenizing the label suggests one word: cuny. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.baruch.cuny.edu/nycdata/uniquely_nyc/macys-thanksgiving.htm

Page Load Overview

8.11s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:753 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
64%
adult content
53%
education
45%
government public service
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3150.210.155.61United States
AS31822CITY-UNIVERSITY-OF-NEW-YORK
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AA32B9B76AE173304262CA80A570AA3AE773805F95559D1178DD823E6FC7FC8CD232D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ggWAlIc/LIL4+jr46XGKygJOIDHqlZyWw5w3l:IAlZzqjk6HqlZyWx3l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10919:gJg0kFIAEMEkFCFBUSQGbRBCLwQXRF+BEpyKAPQQABKlBAJWABuUCKgZEbPiRjCiZAg7CgEIQQoxIQClBCCDSQhKosJIBFog

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:003c3c3c3cffffff
Perceptual Hash:9212343535756d6f
Difference Hash:9e69696979795596
Wavelet Hash:00003c3c3c3cffff
Color Hash:#93721f

Other Hashes

Scan History

Scan history not available

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