Security Scan Report: full-studies-648282.framer.app

Submitted: Oct 24, 2025, 6:16:23 AMCompleted: Oct 24, 2025, 6:17:30 AMpubliccompleted
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Summary

This website contacted 30 IPs in 1 country across 4 domains to perform 19 HTTP transactions. The main domain is full-studies-648282.framer.app.

Submitted URL: https://full-studies-648282.framer.app/

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Likely phishing site due to login form on a new, unranked domain.

Risk Factors
New or unknown domain age
Unranked domain with low reputation
Credential harvesting form on a recently registered site
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

corporate

(50%)

Domain Information

The domain 'full-studies-648282.framer.app' uses the application-focused generic top-level domain (.app) with subdomain 'full-studies-648282'. The registrable portion 'framer' spans 6 characters split between two vowels and 4 consonants. Splitting it apart reveals one word: framer. Median word length comes out to six characters. 'frame' most strongly signals English. You may catch it in Chinese (Pinyin) and French as well.

Screenshot

Security scan screenshot of https://full-studies-648282.framer.app/

Page Load Overview

44.04s
Total Load Time
19
HTTP Requests
4
Domains
107 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:144 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
018.173.205.84United States
AS16509AMAZON-02
018.173.205.72United States
AS16509AMAZON-02
018.173.205.73United States
AS16509AMAZON-02
013.226.244.72United States
AS16509AMAZON-02
052.223.52.2United States
AS16509AMAZON-02
018.173.205.66United States
AS16509AMAZON-02
013.226.244.45United States
AS16509AMAZON-02
013.226.244.13United States
AS16509AMAZON-02
02600:9000:2724:6e00:d:ada1:a280:93a1United States
AS16509AMAZON-02
02600:9000:2013:8600:10:9b9d:b9c0:93a1United States
AS16509AMAZON-02
1930--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A483EF97615DF164ACD7293EEB5DE4289D252140FF72C3CBA29E821F41CDAF42252B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:WzVJVMaj5eHCe++VOeCkVWeSVLaN9VBauaTVhVk9VCwGxR6Zph82:gJIZph82

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:82612:GRAkAAgPF3RAQreIDikBFCQChLwWBIQSCARQhWpAgQxiHioNSJiQAgAQdnBnWgkTwFEAHmokALMwaAASDi5ggIR+HQxSoihQ

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:fe3e7e3e3efefefe
Perceptual Hash:8703f01f0ff8f00f
Difference Hash:00c0c04040004000
Wavelet Hash:c242020232f2f2f2
Color Hash:#b679d2

Other Hashes

Crop Resistant:00c0c04040004000

Scan History

Scan history not available

Unable to load historical scan data