Security Scan Report: smtp-authentication-resolve.netlify.app

Submitted: Nov 1, 2025, 12:50:24 PMCompleted: Nov 1, 2025, 12:50:58 PMpubliccompleted
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Summary

This website contacted 39 IPs in 3 countries across 12 domains to perform 21 HTTP transactions. The main domain is smtp-authentication-resolve.netlify.app.

Submitted URL: https://smtp-authentication-resolve.netlify.app/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

PORTAL - Mail Authentication

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(72%)

Domain Information

Domain 'smtp-authentication-resolve.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'smtp-authentication-resolve'. The core label 'netlify' covers 7 characters with 2 vowels and 5 consonants. Tokenizing the label suggests three words: net, li, fy. Median word length is two characters. 'neto' is most common in Esperanto usage. You may catch it in Bosnian and Serbian as well. Overall, 'smtp-authentication-resolve.netlify.app' reads as Esperanto.

Screenshot

Security scan screenshot of https://smtp-authentication-resolve.netlify.app/

Page Load Overview

17.26s
Total Load Time
21
HTTP Requests
12
Domains
337 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:320 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
29%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2113.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
0104.18.11.207United States
AS13335CLOUDFLARENET
065.9.175.126United States
AS16509AMAZON-02
054.157.123.137Ashburn, Virginia, United States
AS14618AMAZON-AES
063.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0104.17.25.14United States
AS13335CLOUDFLARENET
0172.217.18.10United States
AS15169GOOGLE
0104.18.0.22United States
AS13335CLOUDFLARENET
02.16.10.87Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2139--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1020497A9D14C04D16772C41BAF78B3E8A1B9F73AC8550CAAF82E580C4FC9B5525C2F79

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nOwMCMPMCMjMCM4MCMwMCM3sVMX709gbPMfjSFOTyPGuuprrlCFLVSG/y5lZf9ra:S709gMGFiyPGuuprlCFLVSG/ybIgVi5t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187183:tSZZSGCRRBaAMWoiwAAEgAauBggEGRRogAS2gRMyiQwOUACQETIBNQjhTIHdCrEA5AEUgLARbG1skpjAAIlsACdURMQBGAQM

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:ffe7e7e7e7e7ffff
Perceptual Hash:b399cc6633998c66
Difference Hash:000c0c4c4d0c0800
Wavelet Hash:e7e7e7e724240c0c
Color Hash:#1f4a93

Other Hashes

Crop Resistant:000c0c4c4d0c0800

Scan History

Scan history not available

Unable to load historical scan data