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Security Scan Report: sparkly-cogwheel-817980.framer.app

Submitted: Oct 24, 2025, 2:45:05 PMCompleted: Oct 24, 2025, 2:46:21 PMpubliccompleted
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Summary

This website contacted 14 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is sparkly-cogwheel-817980.framer.app.

Submitted URL: https://sparkly-cogwheel-817980.framer.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows a not‑found page with no malicious indicators; no security threats detected.

Safety Factors
No malicious Indicators of Compromise matches found
No forms or credential collection fields present
Page displays a standard 'Site Not Found' message
Domain age information unavailable

Details

Page Title

Site Not Found | Framer

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

other

(50%)

Domain Information

You're looking at domain 'sparkly-cogwheel-817980.framer.app' on the application-focused generic top-level domain (.app), featuring subdomain 'sparkly-cogwheel-817980'. Its registrable label 'framer' stretches across 6 characters with 2 vowels and four consonants. Breaking it apart gives one word: framer. Median word length is six characters. 'frame' most often appears in English. You will also see it in Chinese (Pinyin) and French contexts.

Screenshot

Security scan screenshot of https://sparkly-cogwheel-817980.framer.app/

Page Load Overview

27.91s
Total Load Time
4
HTTP Requests
2
Domains
55 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
HTML Lang Attribute:en
Text Length:83 chars
Detector Agreement:100%

Website Classification

Primary Category

other50% confidence
Type: static
Method: ml+structural

All Detected Categories

other
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
452.223.52.2United States
AS16509AMAZON-02
018.173.205.84United States
AS16509AMAZON-02
018.173.205.66United States
AS16509AMAZON-02
035.71.142.77United States
AS16509AMAZON-02
02600:9000:2724:aa00:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2724:3000:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2724:ee00:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2724:9800:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2724:4a00:d:ada1:a280:93a1United States
AS16509AMAZON-02
018.173.205.72United States
AS16509AMAZON-02
414--

Detected Technologies4

React
50%
HTTP/3
40%
HSTS
40%
Framer Sites
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T108E1EC16145B6000BA036C9D27CBB369101CE107A495DA367FFC2A6CCFDE93A52E1B6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:zEulitSSs9eMnFsh80zekZtKqpu4L6Zyks2G:zEulaPQRG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6800:MJgrBABSEB/iQqACqANQDAjAAAoACAHKUwGNEIUyAWCDAPSwgAGEkARQECFmAMYBjESMiBQxIkAQFxgApCA0xIRAAUAVARkQ

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:ffffffe7e7ffffff
Perceptual Hash:e699992666999966
Difference Hash:0000000808000000
Wavelet Hash:3f3f3f27041c0c0c
Color Hash:#9479d2

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

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