Security Scan Report: spiffy-snickerdoodle-d7067b.netlify.app

Redirected to:
https://spiffy-snickerdoodle-d7067b.netlify.app/
Submitted: Aug 31, 2026, 3:51:30 PMCompleted: Aug 31, 2026, 3:52:50 PMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is spiffy-snickerdoodle-d7067b.netlify.app and was registered 8 years ago.

Submitted URL: http://spiffy-snickerdoodle-d7067b.netlify.app

Effective URL:

https://spiffy-snickerdoodle-d7067b.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

Google Safe Browsing flags this site as dangerous — rated high risk on that basis.

Domain age information unavailable

Details

Page Title

Site not foundsecondary capture

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'spiffy-snickerdoodle-d7067b.netlify.app' is registered and includes subdomain 'spiffy-snickerdoodle-d7067b'. Its registrable label 'netlify' stretches across 7 characters split between 2 vowels and 5 consonants. Tokenizing the label suggests three words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://spiffy-snickerdoodle-d7067b.netlify.app

Page Load Overview

0.60s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:312 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
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C76161A9C41A203F6D97681F13A4CA4D60297247DC9247D8FFEA53ACD2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXD:TGHwyA2qlRYZJ3RoXIP+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAIFBiSA4QCgIACAAAAIAEiSGgQIQgAQKCAEIAUACEAEQAQAAAiAEAAAACAIAAAAAARA

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:b324cc9b336c9933
Difference Hash:0000080c0c080000
Wavelet Hash:3f3f272704040c0c
Color Hash:#1f2b93

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data