Security Scan Report: eventvesta.com

Redirected to:
https://feverup.com/m/471583?utm_source=affiliate&utm_medium=impact&ut...
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Submitted: Sep 19, 2026, 10:57:29 AMCompleted: Sep 19, 2026, 10:58:34 AMpubliccompleted

This website contacted 20 IPs in 2 countries across 35 domains to perform 316 HTTP transactions. The main domain is feverup.com and was registered 12 years ago.

Submitted URL: https://eventvesta.com/events/128888/t/tickets

Effective URL:

https://feverup.com/m/471583?utm_source=affiliate&utm_medium=impact&ut...
Redirected

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Official Fever ticketing page reached via affiliate redirect. No forms harvesting credentials, no Indicators of Compromise, no malware. Low risk.

Safety Factors (5)
Final destination is the official Fever ticketing domain.
Page displays its own brand (Fever) matching the final domain, not a different entity's brand.
No password, login, or payment fields present.
No threat-intel matches against the page or its resources.
No JavaScript malware or credential exfiltration detected.
Domain age information unavailable

Details

Page Title

The Jury Experience Sacramento: Death on the Port Side Murder Tickets | Fever

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'eventvesta.com' is registered with no subdomain. Its registrable label 'eventvesta' stretches across 10 characters split between four vowels and 6 consonants. Splitting it apart reveals 2 words: event, vesta. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eventvesta.com/events/128888/t/tickets

Page Load Overview

14.06s
Total Load Time
1.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:10,100 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media46% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
46%
e-commerce
35%
adult content
26%
forum
20%

Detected Features

Search
Products
OG: product
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
313.160.150.28Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15104.21.58.35Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1534.149.133.51Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1534.95.127.121Google · CDNKansas City, Missouri, United States
AS396982Google LLC
15146.75.122.92Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
15142.251.20.97Google · CDNUnited States
AS15169Google LLC
1599.84.152.49Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
153.160.150.2Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
153.160.150.19Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
153.160.150.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
31620--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1784444F5DB20E8BE56AB8B2C40997D6C037EEE20C902475E5352DCDE82C63E3249975D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8F4LU2VqqCdofeG0fEpvJIMoMhsp5WFhgx/B8V0mo:nLUsbhgT8s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:256801:wVALEKGJeMQYgpwSYmCDANEWblAARQIhYQcNSztBAAwAgAwGUxjaVMFGRApIgmaAyAqXyg+kSYMAFiBiEbCIcoS4LcAAhwOo

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:ff818181c3ffffff
Perceptual Hash:be3bc1c5929296c5
Difference Hash:3b3b2f3f2f20333d
Wavelet Hash:8181818181ffffcf
Color Hash:#342d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data