Security Scan Report: largest-cylinder-591933.framer.app

Submitted: Nov 18, 2025, 12:44:31 AMCompleted: Nov 18, 2025, 12:47:15 AMpubliccompleted
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Summary

This website contacted 18 IPs in 1 country across 3 domains to perform 17 HTTP transactions. The main domain is largest-cylinder-591933.framer.app.

Submitted URL: https://largest-cylinder-591933.framer.app/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Site shows a simple login form but lacks strong malicious signs; treat as low risk.

Risk Factors
Presence of a login form on a brand‑less, recently registered domain
Safety Factors
No malicious Indicators of Compromise detected
No password or payment collection fields
No external links or redirects
Domain hosted on standard Framer hosting without known abuse
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

technology software

(38%)

Domain Information

Within the application-focused generic top-level domain (.app), 'largest-cylinder-591933.framer.app' is registered; it also runs on subdomain 'largest-cylinder-591933'. The core label 'framer' covers 6 characters split between 2 vowels and 4 consonants. Segmentation suggests 1 word: framer. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://largest-cylinder-591933.framer.app/

Page Load Overview

30.12s
Total Load Time
17
HTTP Requests
3
Domains
11 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
Text Length:144 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
38%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1765.9.175.34United States
AS16509AMAZON-02
035.71.142.77United States
AS16509AMAZON-02
065.9.175.3United States
AS16509AMAZON-02
052.223.52.2United States
AS16509AMAZON-02
065.9.175.35United States
AS16509AMAZON-02
013.226.244.93United States
AS16509AMAZON-02
065.9.175.129United States
AS16509AMAZON-02
013.226.244.13United States
AS16509AMAZON-02
02600:9000:2096:5000:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2096:4e00:d:ada1:a280:93a1United States
AS16509AMAZON-02
1718--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F3930193615DF024ACD7697EEB5DE5285C252140FF72C3CBA2AE821F45C9EF42252B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:CWzVJVMaj5eHCe++VOeCkVWeSVLaN9VBaGaTVhVk9VCw6wHWyuBG8A:JJTyqG8A

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90647:YqgpCBABFFPoBKQhNTgGxKBiqcUJ8phBwwATkNYmsDEAAAgSSAAikoYeMmKDBGM45VgQCNbwUoRRQgokkiquUAkAg2hQDMhJ

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:0000c0c0c0c00001
Perceptual Hash:f8d40707f8f4f805
Difference Hash:014121212121c101
Wavelet Hash:c1c1c3c3c1c10101
Color Hash:#bf4095

Scan History

Scan history not available

Unable to load historical scan data