Security Scan Report: encouraging-guava-448791.framer.app

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Submitted: Completed: publiccompleted
This website contacted 19 IPs in 2 countries across 8 domains to perform 289 HTTP transactions. The main domain is framer.app and was registered 6 years ago.

Submitted URL: https://encouraging-guava-448791.framer.app/

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Microsoft 365 / UNIL Université de Lausanne sign-in hosted on a throwaway Framer subdomain, harvesting email and password via a disguised password field and Unicode evasion. Phishing.

Risk Factors (5)
Brand impersonation of Microsoft 365 and Université de Lausanne login
Credential-harvesting login form (email + password) on a non-official domain
Disguised password field (type=text with password placeholder) to evade detection
Unicode/character-confusion evasion in form fields
Free/instant-publish hosting subdomain with no attribution to the impersonated institution
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Domain Name Analysis

You're looking at domain 'encouraging-guava-448791.framer.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'encouraging-guava-448791'. Its registrable label 'framer' stretches across 6 characters containing two vowels alongside 4 consonants. Splitting it apart reveals one word: framer. No strong language cues emerged from the frequency lists.

Screenshot

UNIL | Universit& de Lausanne B® Microsoft 365 prenom.nom@unil.ch Mot de passe Connexion @ Made in Framer

Page Load Overview

2.05s
Total Load Time
3.1 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:174 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
50%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25565.8.131.73Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1531.43.160.6Aws · CLOUDNetherlands
AS16509Amazon.com, Inc.
1518.64.211.99Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15143.204.181.49Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1565.9.130.104Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1518.64.211.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15143.204.181.70Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15143.204.181.93Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1565.9.130.5Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1565.8.131.116Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
28919--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D9301976159F0646CD7297EE75DE02C9D352140FF32C38BA2AE825F45CDAF42292B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0oZBVxVPL3ItieSlkXesVkJVlat9VyalVbVe9V4wFhsyCVBG1J:/WysFG1J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91718:gEUCSCAaYCgWZYMSAICms8KgnUGCuEIFovwARlmiAAA4L0BHwYgSggQAQsIYCjB4hCCgxAMwegCjgJAgNMRArCoEYRJCmCeA

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:070707070707ffff
Perceptual Hash:b636c92fcec32298
Difference Hash:cf0e8d4c2c4c4c00
Wavelet Hash:030707060707ffff
Color Hash:060420000c0

Scan History

Scan history not available

Unable to load historical scan data