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Security Scan Report: independent.academia.edu

Submitted: Nov 1, 2025, 4:11:10 AMCompleted: Nov 1, 2025, 4:14:27 AMpubliccompleted
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Summary

This website contacted 66 IPs in 3 countries across 17 domains to perform 201 HTTP transactions. The main domain is independent.academia.edu and was registered NaN years ago.

Submitted URL: https://independent.academia.edu/ElodieDogerdeSp%C3%A9ville

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
Standard login forms belonging to the legitimate academia.edu platform
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

Elodie Doger de Spéville - Independent Researcher

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain name 'independent.academia.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'independent'. The second-level label 'academia' is 8 characters long containing 5 vowels alongside 3 consonants. Segmentation suggests one word: academia. Average segment length settles at 8 characters. 'academia' most strongly signals Portuguese (Brazil). You will also see it in Spanish and Galician contexts. Taken together, it feels Portuguese (Brazil) with single-word simplicity.

Screenshot

Security scan screenshot of https://independent.academia.edu/ElodieDogerdeSp%C3%A9ville

Page Load Overview

4.64s
Total Load Time
201
HTTP Requests
17
Domains
3.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:3,754 chars
Detector Agreement:60%

Website Classification

Primary Category

education45% confidence
Type: webapp
Method: ml+structural

All Detected Categories

education
45%
social_media
40%
healthcare medical
33%

Detected Features

Login Form
Search
OG: profile

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10013.33.187.6New York, New York, United States
AS16509AMAZON-02
42142.250.185.131United States
AS15169GOOGLE
1813.32.27.124New York, New York, United States
AS16509AMAZON-02
10143.204.98.80United States
AS16509AMAZON-02
10142.250.186.35United States
AS15169GOOGLE
313.33.187.115New York, New York, United States
AS16509AMAZON-02
313.32.99.33New York, New York, United States
AS16509AMAZON-02
3142.250.185.99United States
AS15169GOOGLE
3142.251.168.155United States
AS15169GOOGLE
3142.250.184.200United States
AS15169GOOGLE
20166--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15333C672C544103BA627ADD9B555730AA0D3D21EEA4348ECBBFD038D77CADF2606219B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QmKU0QpmF3wxXUJ2evkIVcJ9ePeuUqePe+ePeDePeBxGOmli:QmK/jNzs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:51184:AuaCBATBUECBEjCAMGh40gAIRACnGxlWIQwSIlP/YgFgQBgThBQEQ9jCDDJL8QehqAAdbFCPEI3ABQmIg0AKkKXgCCmA8CQg

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:00bf9f9fffbfbfbf
Perceptual Hash:be1e476361383c47
Difference Hash:98603c364e2e6b2a
Wavelet Hash:00af8783af83a39f
Color Hash:#ae87c5

Other Hashes

Crop Resistant:98603c364e2e6b2a,018113c8c4d00301

Scan History

Scan history not available

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