Security Scan Report: zara-invitation.vercel.app

Submitted: Oct 10, 2025, 7:07:59 PMCompleted: Oct 10, 2025, 7:08:49 PMpubliccompleted
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Summary

This website contacted 8 IPs in 4 countries across 4 domains to perform 27 HTTP transactions. The main domain is zara-invitation.vercel.app and was registered NaN years ago.

Submitted URL: https://zara-invitation.vercel.app/

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score
Domain age information unavailable

Details

Page Title

Find the right job type for you | Robert Half

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'zara-invitation.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'zara-invitation'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and four consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands at 3 characters. 'ver' most strongly signals Portuguese. It also appears in Portuguese (Brazil) and Galician contexts. Overall, 'zara-invitation.vercel.app' reads as Portuguese.

Screenshot

Security scan screenshot of https://zara-invitation.vercel.app/

Page Load Overview

13.23s
Total Load Time
27
HTTP Requests
4
Domains
361 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:en
Text Length:375 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.250.186.35United States
AS15169GOOGLE
3149.154.167.220London, England, United Kingdom
AS62041Telegram Messenger Inc
364.29.17.67United States
AS16509AMAZON-02
3216.198.79.67United States
AS16509AMAZON-02
3216.58.206.42United States
AS15169GOOGLE
32001:67c:4e8:f004::9Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
32a00:1450:4001:830::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a00:1450:4001:811::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
278--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T133E1A6FB152101BB621B86A071D13B2C1B284B0BD90FFC68B5EC1E6D2FC5ACC5CD2A95

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:k01X+T+ptuVQR8kFnyrihcr/rpzQ9gOx+QicR:jmrihAzjOIBcR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6818:ECgg9IAWSvARwQDMAgCAQihIAIAUBAUAQgyEBaRBVEQKIEUEAQHoiASApCcFkJ8IQKDghECACiBURegBJRzgIYYJEA1BBpBW

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data