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Security Scan Report: quiet-communication-737542.framer.app

Submitted: Oct 17, 2025, 9:45:47 AMCompleted: Oct 17, 2025, 9:47:18 AMpubliccompleted
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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 quiet-communication-737542.framer.app and was registered NaN years ago.

Submitted URL: https://quiet-communication-737542.framer.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain age
No external links or embedded content
No login, payment, or sensitive data collection
Domain age information unavailable

Details

Page Title

Site Not Found | Framer

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

other

(50%)

Domain Information

The domain name 'quiet-communication-737542.framer.app' uses the application-focused generic top-level domain (.app) with subdomain 'quiet-communication-737542'. The second-level label 'framer' is 6 characters long split between two vowels and 4 consonants. Tokenizing the label suggests 1 word: framer. Average segment length settles at 6 characters. 'frame' most often appears in English. Usage also turns up in Chinese (Pinyin) and French contexts. Taken together, it feels English with single-word simplicity.

Screenshot

Security scan screenshot of https://quiet-communication-737542.framer.app/

Page Load Overview

37.95s
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
035.71.142.77United States
AS16509AMAZON-02
018.173.205.73United States
AS16509AMAZON-02
018.173.205.72United States
AS16509AMAZON-02
02600:9000:2724:c600:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2724:d800:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2724:5800:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2724:a800:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2724:c00:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2724:9c00:d:ada1:a280:93a1United 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:#87abc5

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data