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Security Scan Report: securelogins.netlify.app

Submitted: Dec 12, 2025, 1:12:23 AMCompleted: Dec 12, 2025, 1:13:15 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is securelogins.netlify.app and was registered NaN years ago.

Submitted URL: https://securelogins.netlify.app/[email protected]

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing site flagged by Google Safe Browsing; avoid and report.

Risk Factors
Social Engineering detection by Google Safe Browsing
Login‑style domain name (securelogins) on an unranked site
Absence of legitimate content (timeout page) suggests a malicious landing page
Domain age information unavailable

Details

Page Title

securelogins.netlify.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

Domain 'securelogins.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'securelogins'. The registrable portion 'netlify' spans 7 characters containing two vowels alongside five consonants. Word splitting yields three words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://securelogins.netlify.app/webmailoutlook.html?email=x@x.com

Page Load Overview

13.16s
Total Load Time
3
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:768 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
53%
adult content
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
363.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
035.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14F048F77329A063986558498E05B830D9F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:2fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszJ2bMy8Oldw:1hoC9JSqzzbs6o3Sj3gcrsF2eAq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187257:kwKgnSMSFEMGhFKUdssAIwEIUCCRFFLEnDQVCILhAaEhACgDECJUDK4MFUDsBoAKFIHwglgFGK8FaL8HEKaEAAqEAO0WA0SK

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:ffdfc3c300303030
Color Hash:#2d7786

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data