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Security Scan Report: traditional-grammar-840631.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/a73a3684-95a8-4124-81fa-0e5fe3366dfeDomain and IP registration (RDAP)/api/v1/rdap/a73a3684-95a8-4124-81fa-0e5fe3366dfeHow often this domain was scanned/api/v1/domain/stats/traditional-grammar-840631.framer.appScan history for this domain/api/v1/domain/history/traditional-grammar-840631.framer.app?limit=15
This website contacted 23 IPs in 2 countries across 8 domains to perform 390 HTTP transactions. The main domain is framer.app and was registered 6 years ago.

Submitted URL: https://traditional-grammar-840631.framer.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake Swisscom webmail login hosted on a free Framer subdomain, collecting username and password through a disguised password field with Unicode evasion. Brand impersonation plus credential harvesting — confirmed phishing.

Risk Factors (5)
Impersonation of Swisscom (a different entity's brand) on a non-Swisscom domain
Credential login form harvesting username/password on an unrelated host
Disguised password field using type='text' with a password placeholder
Unicode/mixed-script evasion in form fields
Unranked domain on a free shared-hosting subdomain where content can be published instantly
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Domain Name Analysis

The domain 'traditional-grammar-840631.framer.app' uses the application-focused generic top-level domain (.app) with subdomain 'traditional-grammar-840631'. Count 6 characters in 'framer' split between two vowels and 4 consonants. Tokenizing the label suggests one word: framer. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://traditional-grammar-840631.framer.app/

Page Load Overview

1.98s
Total Load Time
4.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:193 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
46%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3831.43.160.6Aws · CLOUDNetherlands
AS16509Amazon.com, Inc.
1618.64.211.73Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16143.204.181.49Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1665.9.130.5Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1665.8.131.117Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1631.43.161.6Aws · CLOUDNetherlands
AS16509Amazon.com, Inc.
1618.64.211.99Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16143.204.181.70Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16143.204.181.40Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16143.204.181.93Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
39023--

Detected Technologies7

Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
Framer Sites
80%
React
50%
HTTP/3
40%
HSTS
40%
Bootstrap
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F09310936159F064ACD7297EE75DE12C9D352140FF32C38BA2AE825F45CDAF42292B1C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:5oqBVxVPL3ItieSlkXesVkJVlat9VyalVbVe9V4wxhs2zDIBBG1I:RWqsWIrG1I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94350:gTpgSOIW5bMPw4rlEQYBguKkwdQDUL5hWjAQAgGGIABYQAkWBkQaJDMqiIAjBFIVMT1TAAAAjCP1gBRELcrCHwIFz2PMggCN

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:cfe7ffe6e6fffffe
Perceptual Hash:f33399997322cc8c
Difference Hash:180c104c0c000000
Wavelet Hash:262626260e0e0e0e
Color Hash:N/A

Other Hashes

Crop Resistant:180c104c0c000000

Scan History

Scan history not available

Unable to load historical scan data