Security Scan Report: slims2.biotech.cornell.edu

Submitted: Sep 5, 2026, 11:43:58 PMCompleted: Sep 5, 2026, 11:45:19 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 67 HTTP transactions. The main domain is slims2.biotech.cornell.edu and was registered 41 years ago.

Submitted URL: https://slims2.biotech.cornell.edu

The Cisco Umbrella rank of the primary domain is #525 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no malicious indicators, has an old reputable domain, and contains no credential or payment forms.

Safety Factors (3)
Well‑established domain (registered since 1985)
Top 10 K Cisco Umbrella ranking
Educational content with no malicious signals
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

The domain name 'slims2.biotech.cornell.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'slims2.biotech'. Count 7 characters in 'cornell' split between 2 vowels and 5 consonants. It segments into one word: cornell. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://slims2.biotech.cornell.edu

Page Load Overview

3.83s
Total Load Time
369 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Text Length:1,459 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
67128.84.180.10Ithaca, New York, United States
AS26Cornell University
671--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T153A10AC46C9DA8A9A8244B2C6F69B7961524D70F7E808690F2BF3F27DA7018315F158C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:bq6N6P6I6Pb0E8EhRXlifkmOdEmaB0qjCsF8hq9M:b3kChPPr1QummDYOq9M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4794:HCICADBASUhhIcCABQAEACKo5BEQIhITMACGEFEkoKBBEBICgqBAGAAAEBIAAAAFACSAARAIABgMJEBggIGRgmIAAAsACIBE

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:ffffffff0000ffff
Perceptual Hash:9282e56da5875ada
Difference Hash:c0e0f14001014100
Wavelet Hash:3e3f3c1f0000e1ff
Color Hash:#7f2dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data