Security Scan Report: zedelivery-online.vercel.app

Submitted: Completed: publiccompleted
This website contacted 17 IPs in 2 countries across 12 domains to perform 50 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://zedelivery-online.vercel.app/

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Unranked vercel.app page impersonating the Brazilian brand Zé Delivery with copied branding, a foreign contact domain and a single-source phishing report. No forms, but brand impersonation plus phishing IoC make it high-risk.

Risk Factors (5)
Impersonation of a different entity's brand (Zé Delivery) on a non-official domain
Single-source phishing threat-intelligence match on the primary domain
Official-looking CNPJ, SAC email and footer on an unrelated domain (zedelivery24h.com.br)
Hosted on an instant free subdomain platform (vercel.app), actual page age unknown
Unranked / no reputation in Cisco Umbrella
Domain age information unavailable

Details

Page Title

Zé Delivery - Link Exclusivo

Scan Type

public

Domain Name Analysis

You're looking at domain 'zedelivery-online.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'zedelivery-online'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside 4 consonants. Breaking it apart gives 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zedelivery-online.vercel.app/

Page Load Overview

2.15s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:46%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:2,090 chars
Detector Agreement:100%
Language mismatch: Declared as pt-BR but detected as en

Website Classification

Primary Category

adult content80% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

adult content
80%
healthcare medical
67%
forum community discussion
55%
finance banking
53%
news media journalism
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2172.67.68.221Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.178.183.94Google · CDNUnited States
AS15169Google LLC
2104.26.11.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
254.193.58.238Aws · CLOUDSan Jose, California, United States
AS16509Amazon.com, Inc.
5017--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B739451D9D2903BB123809A52D1F7483AF4A403EEF34958B59CE650CFC7D6E29A71DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:79KlAGYi/HFIIyFXII8bVq1gT/6RQ+24DfexK6ExxiuX5mbnzd7o/OhF4:79XtJII8bVaRdKxQX5mbnzd7vf4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74257:QQQCI2sDEKcEORAEEYKCAUJAPsBwF+LkcJmEGHYiwR8AAEPEGKxxWYhDES9UMUoIQA0C0qClCKIABDZmhiJGi3J4AEIABgLU

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:ffffe7e7e7e7ffff
Perceptual Hash:a2ddcc7333cc8833
Difference Hash:0011090d4d4d3101
Wavelet Hash:3233232307070303
Color Hash:#c587b7

Other Hashes

Crop Resistant:0011090d4d4d3101

Scan History

Scan history not available

Unable to load historical scan data