ScanMalware.com

Security Scan Report: fibnlmouze.web.app

Redirected to:
https://example.com/
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/37db7269-0f96-4f1c-9040-0ffdfafaa692Domain and IP registration (RDAP)/api/v1/rdap/37db7269-0f96-4f1c-9040-0ffdfafaa692How often this domain was scanned/api/v1/domain/stats/fibnlmouze.web.appScan history for this domain/api/v1/domain/history/fibnlmouze.web.app?limit=15
This website contacted 5 IPs in 1 country across 4 domains to perform 7 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://fibnlmouze.web.app

Effective URL:
https://example.com/
Redirected

AI Security Verdict

Low Risk

Confidence: 75%

1
Risk Score

Benign IANA 'Example Domain' placeholder served from a random web.app subdomain; no forms, no impersonation, no threat-intel or malware hits. Unknown subdomain age is the only oddity.

Safety Factors (5)
No credential, login, or payment form anywhere on the page
No brand impersonation: the page presents the IANA documentation domain, not another entity's brand
No Indicators of Compromise, no JavaScript malware patterns, no high-precision YARA hits
No credential exfiltration and no third-party script hosts
Static placeholder documentation text with no solicitation, urgency, or data collection
Domain age information unavailable

Details

Page Title

Example Domain

Scan Type

public

Domain Name Analysis

The domain 'fibnlmouze.web.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'fibnlmouze'. Count 3 characters in 'web' with one vowel and 2 consonants. Breaking it apart gives 1 word: web. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fibnlmouze.web.app

Page Load Overview

1.18s
Total Load Time
15 KB
Total Size

Language Analysis

Primary Language

🇪🇪ET
Code: et
Confidence:21%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:927 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as et

Website Classification

Primary Category

education learning98% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
98%
cryptocurrency blockchain
96%
documentation technical
94%
government public service
93%
technology software
89%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.147.243Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.20.23.154Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
75--

Detected Technologies3

HTTP/3
40%
HSTS
40%
Firebase
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B41D66202C9506C1327028FE5B2B31EFD3264BE2B94AEB0767A1D6168C6564C63B85C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TuIR32M5za7lg8nlArtVJ1pyIrevzRgkVjEHEFD:TuIRRiiZrprIgkx3t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2373:FAgAAFAAACAAUBBgQEIABAAACgEAAABEAMAAAAAgAABFAIAgEwCmFBAAQIAQABAAIACAAAQAAQgQAACgAAhABqAgwACAAEgA

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:ffe7e7e7e7e7e7ff
Perceptual Hash:b38ccc9999333366
Difference Hash:100c4c4c4c4c0c00
Wavelet Hash:c0c0c4c4e3e3c7df
Color Hash:#6a2d86

Other Hashes

Crop Resistant:100c4c4c4c4c0c00

Scan History

Scan history not available

Unable to load historical scan data