Security Scan Report: budgetlab.yale.edu

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Submitted: Feb 20, 2026, 2:27:56 PMCompleted: Feb 20, 2026, 2:29:29 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is budgetlab.yale.edu and was registered NaN years ago.

Submitted URL: https://budgetlab.yale.edu/research/methodological-appendix-tracking-economic-effects-tariffs

The Cisco Umbrella rank of the primary domain is #55,955 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate academic page with no security concerns.

Safety Factors
Well-established domain (over 39 years old)
No malicious Indicators of Compromise matches
No credential or payment collection forms
Domain ranked within top 100k in Cisco Umbrella
Meta tags consistent with legitimate academic site
Domain age information unavailable

Details

Page Title

budgetlab.yale.edu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'budgetlab.yale.edu' is registered and includes subdomain 'budgetlab'. Count 4 characters in 'yale' with two vowels and two consonants. It segments into 1 word: yale. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://budgetlab.yale.edu/research/methodological-appendix-tracking-economic-effects-tariffs

Page Load Overview

5.63s
Total Load Time
128
HTTP Requests
4
Domains
3.5 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
Text Length:9,795 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%

Detected Features

OG: Publication

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12823.185.0.4United States
AS54113Fastly, Inc.
1281--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D1048F77329A063D86558498E05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:mfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszG2bMy8OldE:lhoC9JSqzzbs6o3Sj3gcrsC2eAu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184679:DRWgiCyhCDsaI+ECAANYBwDIAgZARBSI4BBRnIBZYCxgQFQOymQkEOAixBsgVgF0AB5MISASghMooBRZwpMytFLCJQCUOAog

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:ffcfc3c7ffffffff
Perceptual Hash:b333cccccc633323
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#40bf5e

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data