Security Scan Report: sapitplokogoto.vercel.app

Submitted: Jul 22, 2026, 12:50:29 AMCompleted: Jul 22, 2026, 12:52:47 AMpubliccompleted
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Summary

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

Submitted URL: https://sapitplokogoto.vercel.app/#[email protected]

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page impersonates SAPO and harvests passwords on an unknown‑age Vercel subdomain; treat as high‑risk phishing.

Risk Factors
Brand impersonation (SAPO) on unrelated domain
Credential harvesting form (password only)
Unknown subdomain age on hosting platform
Unranked domain reputation
Domain age information unavailable

Details

Page Title

SAP0

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(33%)

Domain Information

The domain name 'sapitplokogoto.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'sapitplokogoto'. Count 6 characters in 'vercel' with 2 vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sapitplokogoto.vercel.app/#a@sapo.pt

Page Load Overview

4.74s
Total Load Time
19
HTTP Requests
1
Domains
61 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:98 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software33% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
33%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1964.29.17.195United States
AS16509Amazon.com, Inc.
191--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1227566FC09CD4EAC67AD9D103EAE3A40CDD93BC261C878B6CDCE540682DB61B95CC1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GvpBTAsZu4UeinFrVF3Wba31BmWMf0SGgnqzcpm6UgGDK8:2pBsyu4UNFVF3Wba31BmWMf0Szlo5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10199:AGnyqKAAH7BNAwqEMABAA0mHmTjxEEiIBCUgQABAWYICEgQYogGIMxTAKKCNRGQIgCaBRT6UphGy5RJhAbplm4YKDGkIgBSS

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:e7ffe7ffe7e7e7ff
Perceptual Hash:e699996666999a26
Difference Hash:08302a2a4d280800
Wavelet Hash:d3dbd3db031b0303
Color Hash:#6cb9e0

Other Hashes

Crop Resistant:08302a2a4d280800

Scan History

Scan history not available

Unable to load historical scan data