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Security Scan Report: finance.cornell.edu

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Submitted: Jan 2, 2026, 2:42:49 PMCompleted: Jan 2, 2026, 2:47:00 PMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 9 domains to perform 86 HTTP transactions. The main domain is finance.cornell.edu and was registered NaN years ago.

Submitted URL: https://finance.cornell.edu/travel/news/irs-increases-standard-mileage-rate-business-use-2025

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate Cornell University page with no security concerns.

Safety Factors
Established university subdomain (finance.cornell.edu)
No login, payment, or sensitive data collection
Content appears to be informational about IRS mileage rates
Domain age information unavailable

Details

Page Title

IRS increases the standard mileage rate for business use in 2025 | Cornell University Division of Financial Services

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(92%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'finance.cornell.edu' is registered and includes subdomain 'finance'. The registrable portion 'cornell' spans 7 characters containing 2 vowels alongside five consonants. Segmentation suggests one word: cornell. Average segment length settles at seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://finance.cornell.edu/travel/news/irs-increases-standard-mileage-rate-business-use-2025

Page Load Overview

248.22s
Total Load Time
86
HTTP Requests
0
Domains
N/A
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:3,411 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping92% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
92%
government public service
78%
education learning
55%
corporate business
54%
travel tourism
47%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7823.185.0.2United States
AS54113FASTLY
14216.239.34.36United States
AS15169GOOGLE
9216.239.32.36United States
AS15169GOOGLE
935.171.238.11Ashburn, Virginia, United States
AS14618AMAZON-AES
2142.250.186.170United States
AS15169GOOGLE
2162.247.243.39United States
AS54113FASTLY
2142.250.185.136United States
AS15169GOOGLE
1216.58.206.78United States
AS15169GOOGLE
1104.18.0.22United States
AS13335CLOUDFLARENET
09--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130731D8368656123412B4587F6B8E338E12FE2B6BA418C6473FC1C597BD1FD842C767A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TfeIFPi83tSE0iWFak71wPQPAz07C90KYIi0XQhcG9F62I7wC22JR/WGTkxEJqiL:TfeIFPJtSE0iWl71wPQPAz07C90KYIiO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79886:SDfBIMAgIoA1UJyKuQuOScGgQD6AAhwCEDFIckBEJRUBOEmKMdoAZgUaAIXAEwhwEyAggCSFTIFsg0SgQUUEa6IK9XI1EIGA

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:ff818181ffffff7f
Perceptual Hash:ac6cc3939232c7ce
Difference Hash:6323271fd6dedff7
Wavelet Hash:b18180007f3f7f1f
Color Hash:#87c5b8

Other Hashes

Crop Resistant:6323271fd6dedff7,fcac8cacc8d85892,18e4e6ce2f272737

Scan History

Scan history not available

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