Security Scan Report: app.365qtv.com

Submitted: Mar 2, 2026, 3:45:41 PMCompleted: Mar 2, 2026, 3:47:12 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is app.365qtv.com and was registered NaN years ago.

Submitted URL: https://app.365qtv.com

The Cisco Umbrella rank of the primary domain is #253,490 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No threats detected; the page is a harmless 404 response.

Safety Factors
Well‑established domain (5492 days old)
No malicious Indicators of Compromise
No JavaScript malware patterns detected
No network IDS alerts
404 page with no interactive elements
Domain age information unavailable

Details

Page Title

Canvas 介绍

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'app.365qtv.com' uses the commercial generic top-level domain (.com) and includes subdomain 'app'. Count 6 characters in '365qtv' holding zero vowels versus 3 consonants, plus 3 digits. It segments into three words: 365, q, tv. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.365qtv.com

Page Load Overview

17.42s
Total Load Time
10
HTTP Requests
1
Domains
69 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:219 chars
Detector Agreement:100%

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
1047.88.59.46United States
AS45102Alibaba US Technology Co., Ltd.
101--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11832EEB4A810C6275073C8C975B21E1AB8E2FB57C54A54A16AFB83B90FF7CB17969C40

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:9HahDrRVf9myjWbcCUu57Wbc22v4F8IOMRQkKoGRjG:9H8DrhmHUug2nV4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11118:iDlMFYFs1wPQgo24CfAuE1ZAhNAACAF0BOAiqAQAhYBaRQRZBUMK1JJOsUlLkCBAoRIBihGBRJBzqCoi3aaFoAQZVRvgGSSo

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:bf9f9f8381ffffff
Perceptual Hash:bc1cc3c3639e9a61
Difference Hash:612030330b000000
Wavelet Hash:00978e8081fff3f3
Color Hash:#2d6fd2

Other Hashes

Crop Resistant:612030330b000000

Scan History

Scan history not available

Unable to load historical scan data