Security Scan Report: visual-operators-078089.framer.app

Submitted: Oct 22, 2025, 1:27:12 AMCompleted: Oct 22, 2025, 1:27:34 AMpubliccompleted
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Summary

This website contacted 54 IPs in 1 country across 6 domains to perform 138 HTTP transactions. The main domain is visual-operators-078089.framer.app.

Submitted URL: https://visual-operators-078089.framer.app/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Sign in - Webmail

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

technology software

(27%)

Domain Information

Within the application-focused generic top-level domain (.app), 'visual-operators-078089.framer.app' is registered and includes subdomain 'visual-operators-078089'. Count 6 characters in 'framer' split between 2 vowels and 4 consonants. Tokenizing the label suggests one word: framer. The linguistic tilt is English for 'frame'. Usage also turns up in Chinese (Pinyin) and French contexts.

Screenshot

Security scan screenshot of https://visual-operators-078089.framer.app/

Page Load Overview

8.82s
Total Load Time
138
HTTP Requests
6
Domains
114 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:151 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software27% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
27%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3218.173.205.73United States
AS16509AMAZON-02
23.174.46.42United States
AS16509AMAZON-02
23.174.46.21United States
AS16509AMAZON-02
218.173.205.72United States
AS16509AMAZON-02
235.71.142.77United States
AS16509AMAZON-02
23.174.46.52United States
AS16509AMAZON-02
213.226.244.8United States
AS16509AMAZON-02
218.173.205.66United States
AS16509AMAZON-02
218.245.60.11United States
AS16509AMAZON-02
213.226.244.26United States
AS16509AMAZON-02
13854--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144830093615DF064ACE7293EEB5DE5285D252140FF72C3CBA29E821F45CDAF42252B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DzVJVMaj5eHCe++VOeCkVWeSVLaN9VBaKaTVhVk9VCwdW9X2MBG8F:9lN2oG8F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87630:oGQARMcCDuMsSnR0QYMqmk5AJfQIYGRAQAlBkIMAEgj4AA1sABgFDGA6EIIMcQKkByIgokkUgcEBSIKWBhiEQZTo7ZAG1SQJ

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:eee6fee6e6fefefe
Perceptual Hash:f733998c548ccccc
Difference Hash:0c4c080c0c000800
Wavelet Hash:f6e6e6e202163232
Color Hash:#5391ac

Other Hashes

Crop Resistant:0c4c080c0c000800

Scan History

Scan history not available

Unable to load historical scan data