Security Scan Report: app.filmora.io

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 9 HTTP transactions. The main domain is filmora.io and was registered 10 years ago.

Submitted URL: https://app.filmora.io/my/favor

The Cisco Umbrella rank of the primary domain is #426,870 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official-looking Wondershare Filmora workspace on an established domain, with no forms, threat-intelligence matches, malware patterns, or suspicious behavior detected.

Safety Factors (5)
Self-branding consistent with domain and product name
Well-established domain age
No forms collecting credentials or payment data
No Indicators of Compromise or malware detections
All scripts loaded from the site's own domain
Domain age information unavailable

Details

Page Title

Wondershare Filmora Workspace

Scan Type

public

Domain Name Analysis

Within the British Indian Ocean Territory country-code top-level domain (.io), 'app.filmora.io' is registered; it also runs on subdomain 'app'. The core label 'filmora' covers 7 characters holding 3 vowels versus 4 consonants. Breaking it apart gives 3 words: film, or, a. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.filmora.io/my/favor

Another page of the site in scan 77faecf2

Page Load Overview

0.70s
Total Load Time
36 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:29 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: static
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
947.254.73.253Santa Clara, California, United States
AS45102Alibaba (US) Technology Co., Ltd.
91--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD02D5EE9913905865A3323E6BEFB20422658457400DDCA0BD5E12849FD0F7B45F7BEA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Un1xbdP1btm1Ycig/noKixj4aiQYagBh7xExzIOx8yyaoe6yyJy5WuzPRpqAj:Un1xZP1A1Ycig/noKaMo/2jecJy5W2pH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8785:WREJNUWDBqrWgUARChKgKcBggDAUTBDNhghKkCCEpApEpFLxP9ABzKAbAEA0iqZBDRBAgP1IGKKCE2KIBAXUpAOAJkQmQPCB

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