Security Scan Report: www.paris-iea.fr

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Submitted: Completed: publiccompleted
This website contacted 17 IPs in 2 countries across 10 domains to perform 63 HTTP transactions. The main domain is paris-iea.fr and was registered 18 years ago.

Submitted URL: https://www.paris-iea.fr/en/fellows/diana-taylor-2

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate fellow-profile page on the long-established Institut d'études avancées de Paris domain; no forms collecting credentials or payment, no threat-intel or malware signals.

Safety Factors (5)
18-year-old established domain matching the organization's own name
No credential or payment collection anywhere on the page
Institutional French address and phone number published in page footer
No IoC, hunting rule, IDS, or Safe Browsing hits
Content consistent with a research institute's staff/fellow directory
Domain age information unavailable

Details

Page Title

Diana Taylor - Institut d'études avancées de Paris

Scan Type

public

Domain Name Analysis

The domain 'www.paris-iea.fr' uses the French country-code top-level domain (.fr), featuring subdomain 'www'. The registrable portion 'paris-iea' spans 9 characters split between 5 vowels and 3 consonants; bonus characters include 1 hyphen. Breaking it apart gives 2 words: paris, iea. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

> COR tegin INSTITUT D'ETUDES AVANCEES DE PARIS The Institute Living atthe IAS Apply Practical information Supportthe IAS Home / Fellows / Diana Taylor Fellows + = 2027-2028 Diana Taylor 2025-20...

Page Load Overview

1.85s
Total Load Time
872 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-gb
Text Length:4,594 chars
Detector Agreement:80%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15178.170.19.24France
AS21409Ikoula Net SAS
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3142.251.14.95Google · CDNUnited States
AS15169Google LLC
3142.251.20.138Google · CDNUnited States
AS15169Google LLC
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
3142.251.156.119Google · CDNUnited States
AS15169Google LLC
3142.251.20.100Google · CDNUnited States
AS15169Google LLC
3142.251.127.155Google · CDNUnited States
AS15169Google LLC
3142.250.154.132Google · CDNUnited States
AS15169Google LLC
3142.251.20.102Google · CDNUnited States
AS15169Google LLC
6317--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T114B32F2297A82837A26355D439E07B8B37E2B74EFB46494173BCC6D03BC7D898D06539

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:IYYXkduUIxSTDDZnhRUuYZtwYZ9aPtGJ75oQNTMo:oUIxSTDDZhN1Q9Mo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:117209:mgSYBCKARQRTCWRQDvBdioYwwBFFBADAMgQkEUoWFQ4KGoJAQEaucQYQChDGEBigAAike4oOAHApYAnFCQpYKpKIoAzFqRQp

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:c3c3fffbfbffff00
Perceptual Hash:e9ed32a46ded0892
Difference Hash:161fb28292b08c8d
Wavelet Hash:8181dbc3dbdfc700
Color Hash:06c18000000

Scan History

Scan history not available

Unable to load historical scan data