Security Scan Report: social-windows-688799.framer.app

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Submitted: Dec 6, 2025, 12:21:34 AMCompleted: Dec 6, 2025, 12:22:07 AMpubliccompleted
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Summary

This website contacted 68 IPs in 1 country across 8 domains to perform 220 HTTP transactions. The main domain is social-windows-688799.framer.app.

Submitted URL: https://social-windows-688799.framer.app/?qrl_code=ARXKL4

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Sign ln - webmaiI

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

other

(31%)

Domain Information

Within the application-focused generic top-level domain (.app), 'social-windows-688799.framer.app' is registered; it also runs on subdomain 'social-windows-688799'. The registrable portion 'framer' spans 6 characters split between 2 vowels and 4 consonants. It segments into one word: framer. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://social-windows-688799.framer.app/?qrl_code=ARXKL4

Page Load Overview

0.51s
Total Load Time
220
HTTP Requests
8
Domains
205 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
Text Length:153 chars
Detector Agreement:100%

Website Classification

Primary Category

other31% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

other
31%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18765.8.131.117United States
AS16509AMAZON-02
1965.8.131.45United States
AS16509AMAZON-02
1465.9.175.34United States
AS16509AMAZON-02
518.245.31.70United States
AS16509AMAZON-02
565.9.175.99United States
AS16509AMAZON-02
365.8.131.73United States
AS16509AMAZON-02
318.245.31.26United States
AS16509AMAZON-02
318.245.31.57United States
AS16509AMAZON-02
365.9.175.129United States
AS16509AMAZON-02
365.9.175.120United States
AS16509AMAZON-02
22068--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD930F936159F064ACD7293EEB5DE5289C252140FF32C38BB2AE825F45CDAF42252B5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TzVJVMaj5eHCe+FVieckV4VMaL9VsaTVhVk9VCwG5LaAp9BG8M:1CKApXG8M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93486:0AFixaQB29QgIGJHBAgIAhCh2sAF0gBEAFcB8EVTREFREY8M1UgACXKK6KjgSA60gGAUAM03EaBDQMxZAT8hAUGEGggQEAAA

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:83e7c7c7ffe7e7fe
Perceptual Hash:f732ce8fdd303088
Difference Hash:0e2a0e0c000c0c00
Wavelet Hash:8280c2c6e6e6e6fe
Color Hash:#64d22d

Other Hashes

Crop Resistant:0e2a0e0c000c0c00

Scan History

Scan history not available

Unable to load historical scan data