Security Scan Report: auth.ecornell.com

Redirected to: https://auth.ecornell.com/cas/login

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Submitted: Feb 27, 2026, 4:45:31 PMCompleted: Feb 27, 2026, 4:47:10 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 1 HTTP transaction. The main domain is auth.ecornell.com and was registered NaN years ago.

Submitted URL: https://auth.ecornell.com

Effective URL: https://auth.ecornell.com/cas/loginRedirected

The Cisco Umbrella rank of the primary domain is #204,263 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate eCornell login page; no security concerns detected.

Safety Factors
Well‑established domain
Official brand subdomain
Clean JavaScript and network behavior
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

eCornell | Log in

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(40%)

Domain Information

Domain 'auth.ecornell.com' uses the commercial generic top-level domain (.com) with subdomain 'auth'. Count 8 characters in 'ecornell' with 3 vowels and five consonants. Word splitting yields 2 words: e, cornell. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://auth.ecornell.com

Page Load Overview

1.02s
Total Load Time
56
HTTP Requests
23
Domains
1.2 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-US
Text Length:1,139 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning40% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
40%
documentation technical
34%
government public service
34%
technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11216.58.206.40Belgium
9107.23.171.68Germany
954.174.171.243Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
9142.250.201.168Unknown
9104.18.16.5United States
AS13335Cloudflare, Inc.
9104.18.17.5United States
AS13335Cloudflare, Inc.
566--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T174A2419388FD30375197A09560B5E628BDE3D20BCB0A9804F7FC479C9F96E86885375D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:h2f8MRa8XG8ZXj830f8prE8F8/8D8v8E8a8/8l8h8D8Un8p8D8w8B89808o8f8yi:O/c3PVrvCn5JlRh1pl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21406:pMkgDzJmaFBUYCSFWmEBACIDTtZMl2wiAAoEJBAgognAacCGA5SgRBQpERiACWMBAsQggFiGGUmQRQYE3dAAgcBADLVAAkhF

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:00ffe7ffffffff00
Perceptual Hash:b6371c1c5c363633
Difference Hash:0c080c0e0b100030
Wavelet Hash:00e7e78181ffff00
Color Hash:#409fbf

Scan History

Scan history not available

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