Security Scan Report: univ-frr.web.app

Redirected to:
https://fondation-uca.org/wp-content/img/portail.france-universite.fr/
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 3 countries across 6 domains to perform 86 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://univ-frr.web.app/

Effective URL:
https://fondation-uca.org/wp-content/img/portail.france-universite.fr/
Redirected

AI Security Verdict

Low Risk

Confidence: 58%

3
Risk Score

404 page on fondation-uca.org matching its own brand, reached via an unranked free-host web.app subdomain. No forms, no threat-intel, no malware — nothing malicious observed, but the redirect origin and odd URL path warrant caution.

Risk Factors (4)
Entry host is a free hosting-platform subdomain (web.app) with unknown actual creation date that cross-domain redirects to a different registrable domain
Final URL contains an unusual multi-label path resembling a spoofed directory structure
Page references a near-miss sibling domain (fondation-unica.org) alongside the brand domain, relationship unverified
Final landing page serves no real content (404), so the site's true purpose cannot be assessed
Safety Factors (4)
Brand displayed on the page matches the final landing domain (self-branding, not third-party impersonation)
No forms of any kind — no credential, password, disguised-password or payment fields
No Indicators of Compromise, malware hunting-rule matches, Safe Browsing hits or network IDS alerts
All 36 redirect hops are same-site infrastructure (www→static/cdn 301s); no cross-domain redirect chain beyond the initial host move
Domain age information unavailable

Details

Page Title

Page Not Found - Fondation Université Côte d'Azurother network

Scan Type

public

Domain Name Analysis

Domain 'univ-frr.web.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'univ-frr'. The second-level label 'web' is 3 characters long split between one vowel and two consonants. Tokenizing the label suggests 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

Université Côted'Azur | | » Fondation de l'Université Côte d'Azur Accueil Notre Fondation Actualité Chaires Programmes Contact Nos mécènes Faire un don ia) » Fondation de l'Université Côte d'Azur...

Page Load Overview

1.75s
Total Load Time
740 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:fr-FR
Text Length:606 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service29% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
29%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18146.59.209.152France
AS16276OVH SAS
17199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
17185.125.27.212Switzerland
AS29222Infomaniak Network SA
17142.251.20.97Google · CDNUnited States
AS15169Google LLC
17216.239.32.36Google · CDNUnited States
AS15169Google LLC
865--

Detected Technologies5

WordPressv7.0.3
100%
JQueryv3.7.1
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T178431AF3515848372A9FF35650A1F318E23AEA13CE42AE5571FD623C87C5FD115A3A0A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lIxqyp1tUAAa/AGAg8NA55eMxuyhcLLFmzF6G8+p9iudgiqI8UZRd3PRs:lI9tUAAOAGAg0A55eMxXhvF6G8+ri6g5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56119:OA8gWkSKkBIBiEQBQ1gCRGcMiQ5CtQo0oiDJEggfwqoSxMIYnRaYwELRE2xADjFUgpBAJZyFInAcYLwAkTGkAwBIAqSSRABE

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:7f7fff0808ff7fff
Perceptual Hash:8000e7a71b1fe7a7
Difference Hash:c0f080f0f080f000
Wavelet Hash:30703f00003f10f0
Color Hash:07003400010

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data