Security Scan Report: giving.cornell.edu

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Submitted: Jul 24, 2026, 3:29:25 AMCompleted: Jul 24, 2026, 3:31:19 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is giving.cornell.edu and was registered NaN years ago.

Submitted URL: https://giving.cornell.edu/wp-content%2Fuploads%2Fwpforms%2Ftmp%2Fbd4903981e977cb8631a09c4281329e8.pdf

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

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #525.

Safety Factors
Well-established domain (ranked #525)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'giving.cornell.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'giving'. The second-level label 'cornell' is 7 characters long containing 2 vowels alongside five consonants. Splitting it apart reveals 1 word: cornell. The median word length lands at 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://giving.cornell.edu/wp-content%2Fuploads%2Fwpforms%2Ftmp%2Fbd4903981e977cb8631a09c4281329e8.pdf

Page Load Overview

0.58s
Total Load Time
3
HTTP Requests
1
Domains
133 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
323.185.0.4United States
AS54113Fastly, Inc.
31--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A7248C77E8E6669DED80C34F84BC7E7A96A6B34AA3D72C0C01683745C2426CD4F421F5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GcRZ+NzeDgFex6LbeNScJ4QQ+fZG+fwx2yp9NhoWTiV:GAoJeoesG9WQFkoANa+M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:228789:IiDl2ohmwcNjJgRCwLPAQJpVBIJIgKkyQApDAdbEQCAhggQgCENGNiLBEAgGO2IaSEDBYICjkkUAiLUWyboXl1wLFMDlAIEU

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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