Security Scan Report: v3-novelapp.fqnovelvod.com

Submitted: Apr 9, 2026, 10:29:34 PMCompleted: Apr 9, 2026, 10:31:19 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is v3-novelapp.fqnovelvod.com and was registered NaN years ago.

Submitted URL: https://v3-novelapp.fqnovelvod.com

The Cisco Umbrella rank of the primary domain is #90,022 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'v3-novelapp.fqnovelvod.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'v3-novelapp'. The registrable portion 'fqnovelvod' spans 10 characters holding 3 vowels versus 7 consonants. Tokenizing the label suggests 5 words: f, q, novel, vo, d. Average segment length settles at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://v3-novelapp.fqnovelvod.com

Page Load Overview

0.72s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
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
2163.181.58.172Germany
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T199D023F7C140D81C2D1A50ED6F417A040DD9C21893545C8205CE70D5C4DC7D1C45B6DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/fAbplsB9652VRmEgE1OtqBLRsDTMp8:kxVAZ5AZOwwDA+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:36a9b8ee0e96ed42d65511b28a1b505b

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:0000001818000000
Perceptual Hash:cc993366cc993366
Difference Hash:0010003030001000
Wavelet Hash:0000181838200000
Color Hash:#2dc2d2

Other Hashes

Crop Resistant:0010003030001000

Scan History

Scan history not available

Unable to load historical scan data