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Security Scan Report: super-app-621531.framer.app

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/99d0a2e3-8b46-4fe4-9b62-9a9036a710e1Domain and IP registration (RDAP)/api/v1/rdap/99d0a2e3-8b46-4fe4-9b62-9a9036a710e1How often this domain was scanned/api/v1/domain/stats/super-app-621531.framer.appScan history for this domain/api/v1/domain/history/super-app-621531.framer.app?limit=15
This website contacted 54 IPs in 1 country across 6 domains to perform 142 HTTP transactions. The main domain is super-app-621531.framer.app.

Submitted URL: https://super-app-621531.framer.app/

AI Security Verdict

High Risk

Confidence: 88%

10
Risk Score

High‑risk phishing site collecting credentials on a newly created, unranked domain.

Risk Factors (3)
Credential‑harvesting form on a brand‑less, newly registered domain
Domain is unranked (not in Cisco Umbrella top 1 M) indicating low reputation
Use of a password field on a site that does not appear to provide a legitimate service
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Domain Name Analysis

The domain 'super-app-621531.framer.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'super-app-621531'. The core label 'framer' covers 6 characters split between 2 vowels and four consonants. Word splitting yields 1 word: framer. The median word length lands at 6 characters. 'frame' most strongly signals English. Usage also turns up in Chinese (Pinyin) and French contexts. Net impression: English phrase with single-word simplicity.

Screenshot

= Site Not Found ‘There Is no site configured at this address.

Page Load Overview

12.16s
Total Load Time
1.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Text Length:157 chars
Detector Agreement:100%

Website Classification

Primary Category

other28% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

other
28%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3665.8.131.117United States
AS16509AMAZON-02
213.226.244.93United States
AS16509AMAZON-02
218.245.60.14United States
AS16509AMAZON-02
235.71.142.77United States
AS16509AMAZON-02
265.9.175.120United States
AS16509AMAZON-02
213.226.244.13United States
AS16509AMAZON-02
265.8.131.45United States
AS16509AMAZON-02
265.9.175.99United States
AS16509AMAZON-02
265.8.131.73United States
AS16509AMAZON-02
218.173.205.84United States
AS16509AMAZON-02
14254--

Detected Technologies6

Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
Framer Sites
60%
React
50%
HTTP/3
40%
HSTS
40%

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:N/A

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data