Security Scan Report: methodical-behaviors-522160.framer.app

Submitted: Oct 13, 2025, 9:28:33 PMCompleted: Oct 13, 2025, 9:29:22 PMpubliccompleted
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Summary

This website contacted 67 IPs in 1 country across 8 domains to perform 216 HTTP transactions. The main domain is methodical-behaviors-522160.framer.app.

Submitted URL: https://methodical-behaviors-522160.framer.app/

AI Security Verdict

High Risk

Confidence: 85%

9
Risk Score

High risk phishing site collecting credentials

Risk Factors
Credential harvesting form on a newly registered, unranked domain
Disguised password field (type=text) to trick users
Unicode evasion technique in form fields
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

corporate

(50%)

Domain Information

You're looking at domain 'methodical-behaviors-522160.framer.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'methodical-behaviors-522160'. The registrable portion 'framer' spans 6 characters split between two vowels and four consonants. Tokenizing the label suggests one word: framer. Median word length comes out to six characters. 'frame' most often appears in English. You will also see it in Chinese (Pinyin) and French contexts.

Screenshot

Security scan screenshot of https://methodical-behaviors-522160.framer.app/

Page Load Overview

2.86s
Total Load Time
216
HTTP Requests
8
Domains
486 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:167 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1818.245.86.73United States
AS16509AMAZON-02
318.245.86.127United States
AS16509AMAZON-02
318.245.31.70United States
AS16509AMAZON-02
318.245.86.24United States
AS16509AMAZON-02
318.172.112.42United States
AS16509AMAZON-02
318.245.31.57United States
AS16509AMAZON-02
318.172.112.26United States
AS16509AMAZON-02
318.173.205.73United States
AS16509AMAZON-02
318.173.205.66United States
AS16509AMAZON-02
313.226.244.91United States
AS16509AMAZON-02
21667--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182930093615DF064ACE7697EEB5DE52C5C252140FF32C3CBA29E821F45C9AF42252B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:IzVJVMaj5eHCe++VOeCkVWeSVLaN9VBaKaTVhVk9VCwWQb28QcBG8E:ylhoQYG8E

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89866:+gwECwaJVBYMEpg0DwSuJEcSgCphINoE1AAKoVBRoVGKNYgCYSgKDGCARcSJ4CVPERE8MxYlEOHYDAYOcakMCCQ4TB6JdFFM

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:01c1c1c101010001
Perceptual Hash:f8f40b070355f8f4
Difference Hash:c121210181210101
Wavelet Hash:c1c1c1e1e1810101
Color Hash:#b787c5

Scan History

Scan history not available

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