ScanMalware.com

Security Scan Report: noventaenergy-ca161.web.app

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/76ad4cc9-fa24-4485-902d-9c1ce295f8d4Domain and IP registration (RDAP)/api/v1/rdap/76ad4cc9-fa24-4485-902d-9c1ce295f8d4How often this domain was scanned/api/v1/domain/stats/noventaenergy-ca161.web.appScan history for this domain/api/v1/domain/history/noventaenergy-ca161.web.app?limit=15
This website contacted 3 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://noventaenergy-ca161.web.app/

AI Security Verdict

Low Risk

Confidence: 58%

3
Risk Score

Minimal authentication page on a shared .web.app subdomain. It collects an email confirmation and hidden fingerprint but has no password or payment fields. No threat-intel, malware, or impersonation evidence found.

Risk Factors (4)
Shared hosting platform subdomain (.web.app) with unknown actual creation date
Domain is unranked in Cisco Umbrella and has no established reputation
Minimal page content does not identify the operating organization
Collects an email confirmation value plus a hidden fingerprint without context
Safety Factors (4)
No password, payment, or disguised credential fields present
No threat-intelligence, hunting rule, IDS, or JavaScript-behavioral hits
No brand impersonation detected; page does not claim another entity's brand
No cross-origin credential form or credential exfiltration detected
Domain age information unavailable

Details

Page Title

Authentication

Scan Type

public

Domain Name Analysis

Domain 'noventaenergy-ca161.web.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'noventaenergy-ca161'. Count 3 characters in 'web' with 1 vowel and two consonants. It segments into 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

Permission Check Authenticate, ‘Your connection is secure and encrypted.

Page Load Overview

0.54s
Total Load Time
7 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:85 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service45% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
45%
documentation technical
44%
healthcare medical
36%
news media journalism
30%
technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
1172.67.74.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.10.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
33--

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

T13E61C88BE5A30852BD27526467E353043774C0074988CD5D3E9CB7A8CF8469686FB7CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nBRuqnsUnrFSRTGY/7zXPpt/Lk6klAHpje:BRuqnsUrFWGY//TlBe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3216:AABIAMMoJQABQEgAAiQaAQACAIQKgAGABCYAAAoEAABgAoAACAAACQYBAMABAQoAAEkCAABAEAEQcAiGUUgAAoLQAARIIAIA

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:ffffffe7e7ffffff
Perceptual Hash:e6cc993366cc9c32
Difference Hash:0008000c4d000800
Wavelet Hash:3c3c3c2407073f3f
Color Hash:N/A

Other Hashes

Crop Resistant:0008000c4d000800

Scan History

Scan history not available

Unable to load historical scan data