Security Scan Report: fm-a064f.web.app

Submitted: Completed: publiccompleted
This website contacted 16 IPs in 3 countries across 10 domains to perform 26 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://fm-a064f.web.app/

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Italian login page for a small 'FM Network' business on a free Firebase subdomain. No impersonation, malware, or credential exfiltration evidence, but unverified identity and unknown page age warrant caution.

Risk Factors (3)
Credential login form hosted on an anonymous, unknown-age Firebase web.app subdomain.
Business identity is not strongly verifiable; only a Gmail contact and generic business description are shown.
Free hosting subdomain naming does not establish a clear official business domain.
Safety Factors (4)
Login form appears same-origin with no detected cross-origin credential exfiltration.
No threat-intelligence Indicators of Compromise, JavaScript malware patterns, or network IDS alerts.
Terms/privacy pages are present.
Page presents its own 'FM Network' branding rather than impersonating a different known brand.
Domain age information unavailable

Details

Page Title

Login - FM Network

Scan Type

public

Domain Name Analysis

The domain name 'fm-a064f.web.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'fm-a064f'. The core label 'web' covers 3 characters holding 1 vowel versus 2 consonants. Word splitting yields 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://fm-a064f.web.app/

Page Load Overview

2.28s
Total Load Time
679 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:it
Text Length:668 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical63% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
63%
technology software
45%
news media journalism
39%
government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.16.179.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
179.127.204.113Datacamp · CDNPrague, Prague, Czech Republic
AS60068Datacamp Limited
1142.251.153.120Google · CDNUnited States
AS15169Google LLC
1185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
1172.217.116.4Google · CDNUnited States
AS15169Google LLC
1172.217.118.4Google · CDNUnited States
AS15169Google LLC
1185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
1142.251.14.97Google · CDNUnited States
AS15169Google LLC
1216.239.32.36Google · CDNUnited States
AS15169Google LLC
2616--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD63DD12FFC1303511A767986D316ABCE86FA0C1D3121EB9714EE7A02F8A787791E653

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:mTD37tduOQhPIaQ4RrHDpNy0DZ3Z23S2cR1:InuOQhwaQ4BbRZ25U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:69767:ViABxMEKAEDmYAxBSQsQKAAroGVpCUSQI9SMBAAQtyrBxhMDAMAKR4hIaRIcFFBJEgQJCAYQQOVgA4iCFYAkDMESzoNeKEAA

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:0000e7ffffe7ffff
Perceptual Hash:f34c4c5c598cb78c
Difference Hash:10090c0c1c4c0c0c
Wavelet Hash:0000e4e6eee6e7e7
Color Hash:#87c59d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data