Security Scan Report: ecommons.cornell.edu

Bot Protection Detected

This website is protected by CAPTCHA or anti-bot measures that prevented automated scanning.

Submitted: Jan 1, 2026, 1:27:52 AMCompleted: Jan 1, 2026, 1:29:33 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is ecommons.cornell.edu.

Submitted URL: https://ecommons.cornell.edu/bitstream/1813/28000/1/086_08.pdf

Effective URL: chrome://new-tab-page/Redirected

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 appears legitimate with no security concerns.

Safety Factors
High reputation academic domain
Content is a PDF document hosted on a trusted university repository
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by navigation_blocked bot protection. Our scanner was challenged or blocked during access.

Page Title

New Tab

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'ecommons.cornell.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'ecommons'. The second-level label 'cornell' is 7 characters long containing two vowels alongside five consonants. It segments into one word: cornell. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ecommons.cornell.edu/bitstream/1813/28000/1/086_08.pdf

Page Load Overview

8.71s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
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:7 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
244.213.159.11Ashburn, Virginia, United States
AS14618AMAZON-AES
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192736AF5D6F96394158FC3D5EB661895AF3E10FB264981A4722C9BF0AF11898CF87C80

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HIkPaMxf/N6cw15UxDTti0xhfK6DV/JPsEnOJwNtPDsTSq:Ek2AZzxLDV/JJw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76905:BWIhDnGIlCwItBQQBcEUaAgCC0oiI03kRiiCUJVhIAQFHbeCeQwQQiCIyEAwwFAJghAmoVAjUwIEYgDqEOlBMCoFAE6CLcUR

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:eee7c3e7fffffffe
Perceptual Hash:f7225588dd88dd89
Difference Hash:080c1e0800000000
Wavelet Hash:1e0703270f0f0f0e
Color Hash:#d2ac2d

Other Hashes

Crop Resistant:080c1e0800000000

Scan History

Scan history not available

Unable to load historical scan data