Security Scan Report: www.bcc.cuny.edu

Submitted: Jan 24, 2026, 10:18:33 AMCompleted: Jan 24, 2026, 10:20:37 AMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 20 domains to perform 1 HTTP transaction. The main domain is bcc.cuny.edu and was registered NaN years ago.

Submitted URL: https://www.bcc.cuny.edu/

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

Legitimate Bronx Community College site; no security concerns detected.

Safety Factors
Established, long‑standing domain
High Cisco Umbrella ranking
Meta tags consistent with official institution
No credential‑harvesting or payment forms
No malicious Indicators of Compromise or JavaScript malware detected
Domain age information unavailable

Details

Page Title

Home - Bronx Community College – Bronx Community College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(66%)

Domain Information

You're looking at domain 'www.bcc.cuny.edu' on the sponsored educational top-level domain (.edu), featuring subdomain 'www.bcc'. Count 4 characters in 'cuny' split between one vowel and three consonants. Segmentation suggests one word: cuny. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bcc.cuny.edu/

Page Load Overview

28.86s
Total Load Time
348
HTTP Requests
32
Domains
10.0 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-US
Text Length:10,833 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning66% confidence
Type: webapp
Method: ml+structural

All Detected Categories

education learning
66%
education
45%
government public service
43%
healthcare medical
27%
news/blog
20%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
17172.217.23.99Germany
17216.58.206.72United States
AS15169GOOGLE
17108.138.24.14Germany
1716.15.185.244Germany
17146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
17104.17.25.14United States
AS13335CLOUDFLARENET
17142.250.185.131United States
AS15169GOOGLE
1735.193.200.253Council Bluffs, Iowa, United States
AS396982GOOGLE-CLOUD-PLATFORM
1713.226.244.32United States
AS16509AMAZON-02
34820--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17CD41972882001A4A317CB84A7DAEB58F239D152E9411DFDB3EE549C8FC5FDD624A31B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:s+46zYIZS0m8oUalgbVybVtbV2ure0vaFguUuNx7mqvwPPnrbw/E:+6zYIZO8oUalgbVybVtbVYH7wPP/w/E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:614412:BhpRIaweAJCCkJMR5dzmrhhugAAHEkERRPJQrQk4CSV5YWyNAEAgzQIgsFQmDgAMAUGoEgI0JUg0okpAPQQgAQCXhIqbx18x

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:0000000033f3f3fb
Perceptual Hash:ac52d3a453b1c4b7
Difference Hash:d4e1219127a6a743
Wavelet Hash:40001101f3f3ffff
Color Hash:#3a6c78

Scan History

Scan history not available

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