Security Scan Report: tickets.gostanford.com

Submitted: Nov 22, 2025, 4:22:27 AMCompleted: Nov 22, 2025, 4:25:09 AMpubliccompleted
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Summary

This website contacted 46 IPs in 2 countries across 11 domains to perform 71 HTTP transactions. The main domain is tickets.gostanford.com and was registered NaN years ago.

Submitted URL: https://tickets.gostanford.com/event/ncaa-division-1-womens-soccer-championship-secon-2r2vgg

The Cisco Umbrella rank of the primary domain is #345,683 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate ticket page with no security concerns.

Safety Factors
Well‑established domain with decades of history
Official Stanford subdomain (gostanford.com)
No suspicious forms or data collection
Low risk ranking does not outweigh other legitimacy signals
Domain age information unavailable

Details

Page Title

Tickets for NCAA Division 1 Women's Soccer Championship - Second Round - Stanford | vivenu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

You're looking at domain 'tickets.gostanford.com' on the commercial generic top-level domain (.com) with subdomain 'tickets'. The second-level label 'gostanford' is 10 characters long holding three vowels versus 7 consonants. Segmentation suggests 2 words: go, stanford. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tickets.gostanford.com/event/ncaa-division-1-womens-soccer-championship-secon-2r2vgg

Page Load Overview

0.94s
Total Load Time
71
HTTP Requests
11
Domains
345 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:3,115 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
57104.18.26.169United States
AS13335CLOUDFLARENET
252.222.236.121United States
AS16509AMAZON-02
2146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1216.58.206.74United States
AS15169GOOGLE
134.120.195.249Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
152.37.70.26Boardman, Oregon, United States
AS16509AMAZON-02
1104.16.132.229United States
AS13335CLOUDFLARENET
1104.16.80.73United States
AS13335CLOUDFLARENET
135.160.47.228Boardman, Oregon, United States
AS16509AMAZON-02
152.222.236.6United States
AS16509AMAZON-02
7146--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DC444B2E8518257DCB4E4399FED23F0F25FC507B69818A94ECFC8E5C12BA9921B53487

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:jDyT3o6mdANwkL+hlaHx0K388q4V388RoTUsP0:+8J808s0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:264519:UB0JAAIwScICZ4SBa9FIhIEERhxkKjNByAECE3AyDUCdiAUwCABmEoqlAGAgg+4EDQEAAhMCtOEa0yQIYTakAc4MK3EykQiC

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:00000081cbffffff
Perceptual Hash:e93ac39669069b9a
Difference Hash:01233b033b322313
Wavelet Hash:00000081cfffffff
Color Hash:#78623a

Scan History

Scan history not available

Unable to load historical scan data