Security Scan Report: ingresopit.netlify.app

Submitted: Sep 12, 2026, 2:19:53 PMCompleted: Sep 12, 2026, 2:20:15 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The page only displays a cookie consent notice with no malicious indicators.

Safety Factors (2)
Simple cookie consent page
No malicious scripts or external links
Domain age information unavailable

Details

Page Title

Cookies

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'ingresopit.netlify.app' is registered, featuring subdomain 'ingresopit'. The second-level label 'netlify' is 7 characters long containing two vowels alongside 5 consonants. Tokenizing the label suggests three words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ingresopit.netlify.app/

Page Load Overview

0.93s
Total Load Time
13 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:180 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
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136813017B6D2084A2513A0B91BE397453295D013C21ECCB83EDD73F88FC5AA55CE3A1E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:dTGnBZqkD2TfhWb6m/gf6dudFyJhUmCIS+:D78mmijyJhhC3+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3985:GAAAQSQAAICAAEQQAOAAAIgwAgAUUABB8BEAFDAMQqYIEAAApAAAALAAAgEiYBFyAKpQARUFYCAAAIAEAABAA0AIAABAAwAs

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:ffffffe7e7e7ffff
Perceptual Hash:b38ccc3333cc9933
Difference Hash:0000100c4c082000
Wavelet Hash:c0c0c0c0e3e3f3f3
Color Hash:#3a5c78

Other Hashes

Crop Resistant:0000100c4c082000

Scan History

Scan history not available

Unable to load historical scan data