Security Scan Report: er-next.vercel.app

Site favicon
Submitted: Aug 12, 2026, 1:50:02 AMCompleted: Aug 12, 2026, 1:51:37 AMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 2 HTTP transactions. The main domain is er-next.vercel.app and was registered NaN years ago.

Submitted URL: https://er-next.vercel.app/es/activities/events

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site shows an article about Eden Roc Hotel, has heavily obfuscated JavaScript and an unknown‑age Vercel subdomain, but lacks any credential collection or malware indicators.

Risk Factors
Obfuscated JavaScript (high entropy, base64 encoding, eval)
Unknown subdomain age on a hosting platform
Unranked domain with no reputation
Safety Factors
No forms collecting credentials or payment data
No Indicators of Compromise or malware YARA matches
No network IDS alerts
Physical address displayed on page
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Exciting Events | Eden Roc Hotel Miami Beach

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

education learning

(90%)

Domain Information

The domain 'er-next.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'er-next'. Count 6 characters in 'vercel' containing two vowels alongside four consonants. Tokenizing the label suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://er-next.vercel.app/es/activities/events

Page Load Overview

5.53s
Total Load Time
65
HTTP Requests
22
Domains
3.9 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:929 chars
Detector Agreement:50%

Website Classification

Primary Category

education learning90% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

education learning
90%
entertainment media
59%
real estate property
56%
travel tourism
44%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.66.167.121Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
7104.20.33.75Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.20.19.102Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
73.161.82.26Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7216.198.79.3United States
AS16509Amazon.com, Inc.
754.192.35.60Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
73.171.214.119Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7172.64.153.15Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
659--

Page Statistics

65
Requests
22
Unique Domains
4.9 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C8A317776F2C193327072D91DC677D0CA56EA18BD1C4CC98F1E6DAAD82EE3DB060A215

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QiQPHFarzNUe03C4D650FAufo48y1EiDo4YbeYELM:bQ/FANUP3C4l8y1EiDo7GLM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106406:IZzqEwiBCFIpEAbCC8HQDItUNU5AZ3iIUChoACoMgGIEcKIgQBogGgmHAK/hxgCpAATgOEgoA0tAlTMQElDESkAQJAYCgFgW

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:0000000000ffffff
Perceptual Hash:ae3ff1a1189c8687
Difference Hash:2e0f69693b0703a1
Wavelet Hash:00003c1901ffffff
Color Hash:#6cb9e0

Scan History

Scan history not available

Unable to load historical scan data