Security Scan Report: www.kbcc.cuny.edu

Response type:PDF documentapplication/pdfHTTP 200The address opens a PDF document rather than a web page.
Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cuny.edu and was registered 39 years ago.

Submitted URL: https://www.kbcc.cuny.edu/its/data_computer_security/documents/cyber_security_tips.pdf

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=27) on well-ranked domain #55,983.

Safety Factors (3)
Well-established domain (ranked #55,983)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'www.kbcc.cuny.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'www.kbcc'. The registrable portion 'cuny' spans 4 characters containing one vowel alongside three consonants. Tokenizing the label suggests one word: cuny. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.kbcc.cuny.edu/its/data_computer_security/documents/cyber_security_tips.pdf

Page Load Overview

2.50s
Total Load Time
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

0
Detector Agreement:0%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2146.111.119.41Brooklyn, New York, United States
AS31822City University of New York
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17FC080498464501D74243681DDE53611C85EC2513575DEC6B4D619394B5C759484F119

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVIZx4LyFzT6LTORuWyPDo0GD/1BwqEXDrroYdF0NAEtvpL//X0HKqz:hax4LKT6+8HGD/1BwqEX3kYdF0NAEdpA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:e8845dd235ccba766afddb67a1c5641d

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:1c1c9c1c1c1c1c1c
Perceptual Hash:9e7f632129696961
Difference Hash:303c3434b434b4bc
Wavelet Hash:1c9e9c1e1e1e1e1e
Color Hash:#d0e06c

Scan History

Scan history not available

Unable to load historical scan data