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

Submitted: Sep 7, 2026, 12:45:40 AMCompleted: Sep 7, 2026, 12:50:26 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

The page impersonates Instagram and harvests login credentials on an unranked Netlify subdomain, indicating a high‑risk phishing site.

Risk Factors (2)
Brand impersonation of Instagram on an unranked subdomain
Credential collection form (username/password) on a suspicious domain
Domain age information unavailable

Details

Page Title

Log in — Instagram

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'chipper-strudel-9fa012.netlify.app' is registered, featuring subdomain 'chipper-strudel-9fa012'. Its registrable label 'netlify' stretches across 7 characters holding two vowels versus 5 consonants. Word splitting yields three words: net, li, fy. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://chipper-strudel-9fa012.netlify.app/

Page Load Overview

7.95s
Total Load Time
32 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
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
93--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A841F2634446A10911F0A0AEDEF672D8D847306BCB958DD4B5DB12798FCBEE610C3A79

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:h35gSPhKTGh1I1aY5C/rXNFsWDY8gqC0OpaG5dMgqcG5dPG5dtnvgqcGqPG5duh2:3JcTGhO1aeC/hFYjjXbYp5z393B6PQy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1951:AIIAAAAASgIAAAGAAIAAARAAoAIAAAQIAAAAAEAAUAAAFCAQACGI0AAAAFYAQAKgABBDMgAgAAAAAQAAEIQEAAAGAAAAAAAA

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:3f3fffffffffffff
Perceptual Hash:80000000feffffff
Difference Hash:c0c0000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#a387c5

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data