Security Scan Report: frontdoor.knotch.it

Submitted: Dec 5, 2025, 7:23:07 PMCompleted: Dec 5, 2025, 7:25:17 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is frontdoor.knotch.it and was registered NaN years ago.

Submitted URL: https://frontdoor.knotch.it/

The Cisco Umbrella rank of the primary domain is #8,902 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
High Cisco Umbrella reputation
Absence of malicious Indicators of Compromise
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain 'frontdoor.knotch.it' uses the Italian country-code top-level domain (.it) with subdomain 'frontdoor'. Its registrable label 'knotch' stretches across 6 characters containing one vowel alongside 5 consonants. Breaking it apart gives 2 words: k, notch. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://frontdoor.knotch.it/

Page Load Overview

0.43s
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%
Text Length:12 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
298.86.92.161Ashburn, Virginia, United States
AS14618AMAZON-AES
244.219.42.190Ashburn, Virginia, United States
AS14618AMAZON-AES
03.224.173.18Ashburn, Virginia, United States
AS14618AMAZON-AES
23--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T121C080BAC051484D7F3117F4D94274945F14511CC1315F4077D0A1A4E8449B790C3298

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYfKY8K09Ab0qa:qzxV/5VHHoB96D3ne1k9YfWsb8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:b7f05b2b5e93b72c6d1367c781724281

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:7fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#98e06c

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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