ScanMalware.com

Security Scan Report: attribution-epargne.web.app

Redirected to:
https://qrco.de/bfKy5f
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/fb5c623d-8b8c-4ef5-bed1-b928c864c7c2Domain and IP registration (RDAP)/api/v1/rdap/fb5c623d-8b8c-4ef5-bed1-b928c864c7c2How often this domain was scanned/api/v1/domain/stats/attribution-epargne.web.appScan history for this domain/api/v1/domain/history/attribution-epargne.web.app?limit=15
This website contacted 8 IPs in 1 country across 5 domains to perform 14 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://attribution-epargne.web.app/

Effective URL:
https://qrco.de/bfKy5f
Redirected

AI Security Verdict

High Risk

Confidence: 55%

7
Risk Score

Bare redirect page from a free web.app subdomain to a qrco.de short link. No forms, no brand impersonation, no malware or threat-intel hits; risk comes only from the concealed redirect destination.

Risk Factors (3)
Opaque cross-domain redirect: the shortener conceals the final destination the visitor is sent to
Free instant-hosting subdomain whose actual creation date cannot be verified
Financial-sounding subdomain name paired with a redirect-only page offers no explanation of purpose or destination
Domain age information unavailable

Details

Page Title

Redirection

Scan Type

public

Domain Name Analysis

You're looking at domain 'attribution-epargne.web.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'attribution-epargne'. The core label 'web' covers 3 characters containing one vowel alongside 2 consonants. Word splitting yields one word: web. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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Page Load Overview

0.34s
Total Load Time
492 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:fr
Text Length:62 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism49% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
49%
government public service
46%
healthcare medical
44%
real estate property
44%
adult content
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
13.174.46.27Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13.161.82.70Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1142.251.20.97Google · CDNUnited States
AS15169Google LLC
13.174.46.58Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13.161.82.8Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13.161.82.105Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
148--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147F0DC4768F3000C0121E0014CB2F00C1D9661AA630D89807DCE90990F2978AC0DFACC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hq87YvfAbpli7vkQkZEdxqh4RXAIjwvAqJmrRkRnWmmHn7H/fpUx9/dKKqz:hqy7+4x6ctwYqJmrcWxHn7HZG9/dKj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:811c403d862ecaf4e13b5495c416b7c4

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:3fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:07000000000

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data