Security Scan: 404: NOT_FOUND

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/5f6c5009-5e00-4809-b365-2ae3a80c512d Domain and IP registration (RDAP)/api/v1/rdap/5f6c5009-5e00-4809-b365-2ae3a80c512dHow often this domain was scanned/api/v1/domain/stats/leilaoaovivocompleto.vercel.app Scan history for this domain/api/v1/domain/history/leilaoaovivocompleto.vercel.app?limit=15

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://leilaoaovivocompleto.vercel.app/product-ar-condicionado-lg.html?utm_source=organic&amp;utm_campaign=&amp;utm_medium=&amp;utm_content=&amp;utm_term=

AI Security Verdict

Low Risk

Confidence: 82%

Risk Score

Dead Vercel 404 page with no content, forms or malicious code; IDS hits are generic cloud-hosting reputation, not evidence against this page. No risk beyond an unknown-age unranked tenant.

Risk Factors (2)

Unranked *.vercel.app free-subdomain tenant with unknown real creation date (weak prior only)

URL slug ('product-ar-condicionado-lg.html') suggests a possible product/shopping template, but nothing is served

Safety Factors (4)

All rendered content is a standard framework error page; no user-facing claims, offers or branding

No forms or input fields of any kind; no credential, payment or disguised password fields

No third-party scripts, no cross-origin requests, no credential exfiltration

No threat-intelligence, YARA or phishing-kit detections

Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'leilaoaovivocompleto.vercel.app' is registered, featuring subdomain 'leilaoaovivocompleto'. The registrable portion 'vercel' spans 6 characters holding two vowels versus four consonants. It segments into two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

0.14s

Total Load Time

4 KB

Total Size

Language Analysis

Primary Language

🇺🇸English

Code: en

Confidence:80%

Script:Latin

Direction:ltr

Detection Details

HTML Lang Attribute:en

Text Length:198 chars

Detector Agreement:100%

Website Classification

Primary Category

documentation technical60% confidence

Type: static

Method: ml+structural

All Detected Categories

documentation technical

60%

news media journalism

33%

healthcare medical

30%

technology software

30%

government public service

30%

Detected Features

No structural features detected

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
1	64.29.17.3Aws · CLOUD	United States	AS16509Amazon.com, Inc.
1	64.29.17.67Aws · CLOUD	United States	AS16509Amazon.com, Inc.
2	2	-	-

Detected Technologies2

Vercel

40%

HSTS

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18FF1EA9170613A3FF2378922189B511D313CE007ED275EDB998A85F09ADE5E23A3FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9POh8/QBFytD7uYjp5m17XOuT24gEcy5m:WuGh84BFy571t4lXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7956:4RYQAghhIQ4JAgAE0X4IjEm4gMWPaJRBDACAoCAzIFkACMLPzGHlwFGEGIoCAgGXggMAiAYGAmJtEAQQwkMdEgASQKahkRBT

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:ffffffe7e7ffffe7

Perceptual Hash:b389cccc3333cccc

Difference Hash:0000000c0c00000c

Wavelet Hash:fcfcfce4243c3820

Color Hash:#a0ac53

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: leilaoaovivocompleto.vercel.app