Security Scan Report: tvnewsjdapp.web.app

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is web.app and was registered 7 years ago.

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

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Fake 'Facebook news' page on a free Firebase subdomain using a sensational death-story lure, outbound link to bozzth.com, and a single-source phishing report on the domain. No forms, but clear brand impersonation and clickbait scam pattern — avoid.

Risk Factors (5)
Brand impersonation of Facebook on a non-official, shared-hosting subdomain
Single-source threat-intelligence report categorizing the primary domain as phishing
Sensational fake-news headline designed to induce clicks
Outbound funnel to external unrelated domain (bozzth.com)
No verifiable ownership or editorial content behind the 'news' claim
Domain age information unavailable

Details

Page Title

Facebook news

Scan Type

public

Domain Name Analysis

Domain 'tvnewsjdapp.web.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'tvnewsjdapp'. The core label 'web' covers 3 characters holding one vowel versus 2 consonants. Splitting it apart reveals 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.23s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Text Length:13 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
41--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A031DCB354A04C092631D2545FC6F50C89A5A827D5AA6C80B4CC229F0FD5FE3C4E7A7E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kRFLL1e9/5tc4spxwc9Bl7VSc9dMLDGG0GR6Y8DF6IjWNtD2jb/:Sn1entc7p31pSCdMJStqNe/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1481:EAIQAAhAAAAQAAAAgAAACAAAQAAAiAABCAAABAAAAAAAIAAAAAAgAAAgAkAAFDgAAAAQAAACgCEAIAAQgAAAIAAAAAABIBAA

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data