Security Scan Report: bancrecerer-entrar-64fdcf.netlify.app

Submitted: Jul 3, 2026, 5:51:51 AMCompleted: Jul 3, 2026, 5:53:54 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 bancrecerer-entrar-64fdcf.netlify.app and was registered NaN years ago.

Submitted URL: https://bancrecerer-entrar-64fdcf.netlify.app

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Site is flagged by Google Safe Browsing for phishing; despite lacking visible forms, the threat indicator warrants a high‑risk classification.

Risk Factors
Unknown subdomain age on a hosting platform
Unranked domain with no reputation
Safe Browsing phishing (Social Engineering) detection
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

The domain name 'bancrecerer-entrar-64fdcf.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'bancrecerer-entrar-64fdcf'. Count 7 characters in 'netlify' split between two vowels and 5 consonants. Word splitting yields three words: net, li, fy. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bancrecerer-entrar-64fdcf.netlify.app

Page Load Overview

8.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:807 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
54%
adult content
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1296162A9C41A203F6D97681F13A4CA4D60297607DD9147D8FFEA53ACD2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXh:TGHwyA2qlRYZJ3RoXIqy+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIADAAAAIAEiSEgQIQgAQKCAEIAUACEAEQAQAAAiAEAAAACAIAAAAAARA

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:b326cc99336c9933
Difference Hash:00000c0c0c080000
Wavelet Hash:fcfce4e404040c0c
Color Hash:#2dd2b1

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data