Security Scan Report: us-ledgredesktop.framer.ai

Submitted: Dec 18, 2025, 6:10:11 PMCompleted: Dec 18, 2025, 6:11:10 PMpubliccompleted
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Summary

This website contacted 14 IPs in 0 countries across 2 domains to perform 4 HTTP transactions. The main domain is us-ledgredesktop.framer.ai and was registered NaN years ago.

Submitted URL: https://us-ledgredesktop.framer.ai/en

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Site Not Found | Framer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'us-ledgredesktop.framer.ai' uses the Anguillan country-code top-level domain (.ai) and includes subdomain 'us-ledgredesktop'. Its registrable label 'framer' stretches across 6 characters with 2 vowels and 4 consonants. Breaking it apart gives 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://us-ledgredesktop.framer.ai/en

Page Load Overview

0.37s
Total Load Time
4
HTTP Requests
2
Domains
61 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
23.164.68.36UnknownUnknown
235.71.142.77UnknownUnknown
052.223.52.2UnknownUnknown
03.164.68.90UnknownUnknown
02600:9000:278c:4800:d:ada1:a280:93a1UnknownUnknown
02600:9000:278c:2200:d:ada1:a280:93a1UnknownUnknown
03.164.68.83UnknownUnknown
02600:9000:278c:dc00:d:ada1:a280:93a1UnknownUnknown
03.164.68.69UnknownUnknown
02600:9000:278c:e400:d:ada1:a280:93a1UnknownUnknown
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:#56783a

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data