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

Submitted: Completed: publiccompleted
This website contacted 14 IPs in 4 countries across 12 domains to perform 21 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

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

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Safe Browsing Social Engineering hit plus a HIGH phishing IDS alert, a fake Windows 'secure settings' password prompt, and a Telegram bot token exfiltrating credentials — a confirmed credential-phishing page.

Risk Factors (7)
Credential-collection form (email + password) styled as a system 'Authentication required' prompt
Fake browser/OS chrome and geolocation/clock text used to impersonate a trusted local security dialog
Telegram bot token in inline JavaScript — built-in exfiltration path for submitted credentials
Hosted on a free netlify.app subdomain with an unknown, potentially hours-old creation date
Google Safe Browsing Social Engineering detection
Suricata HIGH alert for a generic phishing landing page
Domain not present in Cisco Umbrella rankings
Domain age information unavailable

Details

Page Title

PORTAL - Mail Authentication

Scan Type

public

Domain Name Analysis

The domain name 'smtp-authentication-resolve.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'smtp-authentication-resolve'. Count 7 characters in 'netlify' with two vowels and 5 consonants. Breaking it apart gives 3 words: net, li, fy. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.11s
Total Load Time
413 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:339 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
63%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
835.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1178.237.33.50Almere Stad, Flevoland, Netherlands
AS8455atom86 BV
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.117.77.177Akamai · CDNBrussels, Brussels Capital, Belgium
AS20940Akamai International B.V.
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2114--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1290497A9D14C04D16772C41BAF78B3E8A1B9F73AC8550CAAF82E580C4FC9B5525C2F79

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nOwMCMPMCMjMCM4MCMwMCM3sVMX709gbPMfjSFOTyPGuuprrlCFLVSG/y5lZf9rh:S709gMGFiyPGuuprlCFLVSG/y2IgVi5t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187200:IBYelykZQhKJEEiBSCFQg1DAh1GFFoFUEEIlWKAAiCwycDTAMqCBKgqooEJIQRZCIJMMwJFT0WAsUCpHEIS4FiiQGtFCoAal

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:2727272727270f0f
Color Hash:N/A

Other Hashes

Crop Resistant:000c0c4c4d0c0800

Scan History

Scan history not available

Unable to load historical scan data