Security Scan Report: empathic-wonders-012261.framer.app

Submitted: Nov 16, 2025, 5:57:23 PMCompleted: Nov 16, 2025, 5:58:12 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 empathic-wonders-012261.framer.app.

Submitted URL: https://empathic-wonders-012261.framer.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows a simple not‑found page; no malicious activity detected.

Safety Factors
Displays explicit error page indicating no site is configured
No data collection or tracking elements observed
Domain age information unavailable

Details

Page Title

Site Not Found | Framer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'empathic-wonders-012261.framer.app' is registered and includes subdomain 'empathic-wonders-012261'. Its registrable label 'framer' stretches across 6 characters containing 2 vowels alongside four consonants. Splitting it apart reveals one word: framer. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://empathic-wonders-012261.framer.app/

Page Load Overview

3.19s
Total Load Time
4
HTTP Requests
2
Domains
55 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:83 chars
Detector Agreement:50%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
435.71.142.77United States
AS16509AMAZON-02
065.9.175.129United States
AS16509AMAZON-02
052.223.52.2United States
AS16509AMAZON-02
02600:9000:2096:9a00:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2096:c00:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2096:6000:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2096:a200:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2096:f600:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2096:ec00:d:ada1:a280:93a1United States
AS16509AMAZON-02
065.9.175.35United States
AS16509AMAZON-02
414--

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:#d27992

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data