Security Scan Report: chipper-strudel-9fa012.netlify.app

Submitted: Aug 21, 2026, 1:45:10 PMCompleted: Aug 21, 2026, 1:46:23 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Phishing page impersonating Instagram, collecting credentials on an unknown‑age Netlify subdomain.

Risk Factors (4)
Brand impersonation of Instagram
Credential collection on unknown‑age subdomain
Unranked domain in Cisco Umbrella
Hosted on free Netlify subdomain
Domain age information unavailable

Details

Page Title

Log in — Instagram

Scan Type

public

Domain Name Analysis

The domain name 'chipper-strudel-9fa012.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'chipper-strudel-9fa012'. The registrable portion 'netlify' spans 7 characters holding two vowels versus five consonants. Tokenizing the label suggests 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://chipper-strudel-9fa012.netlify.app/

Page Load Overview

4.02s
Total Load Time
31 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:115 chars
Detector Agreement:100%
Language mismatch: Declared as es but detected as en

Website Classification

Primary Category

social media network93% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
93%
news media journalism
66%
finance banking
50%
adult content
50%
government public service
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
963.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
91--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B210F624895A20D22B1B15EDEFA72E8CC07306F8B918EC4B5CB1125CFC7ED504C3275

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:h35gS+WDY8gqC0OpaG5dMgqcG5dPG5dtnvgqcGqPG5duhOgqcG+G5dNKAvgqcGhl:3XYjjXbYp5z393B6PQy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1415:AAAAAgEAAAAgAIAABAAAAAEIgAAAAACAAACEQAgCAAAABCAQAAIIIAAAACAAAgAAIAAAAgAAAAAAiAQCgggAAAAAAAAgAAAA

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:7f7ffffffffffffe
Perceptual Hash:d4aa55aa55aa55aa
Difference Hash:c0c0000000000000
Wavelet Hash:3030f0f00f0f0f0e
Color Hash:#1f9388

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data