Security Scan Report: autonoz.com

Redirected to:
https://www.dropcatch.com/domain/autonoz.com
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Submitted: Nov 2, 2025, 7:27:59 AMCompleted: Nov 2, 2025, 7:29:15 AMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 8 domains to perform 34 HTTP transactions. The main domain is dropcatch.com.

Submitted URL: http://autonoz.com/

Effective URL: https://www.dropcatch.com/domain/autonoz.comRedirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Redirect leads to legitimate DropCatch site; no malicious activity detected.

Safety Factors
Final destination is the official DropCatch website
Only a standard domain search form is present
Domain age information unavailable

Details

Page Title

DropCatch.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'autonoz.com' is registered and has no subdomain. The registrable portion 'autonoz' spans 7 characters with 4 vowels and three consonants. Segmentation suggests 3 words: auto, no, z. The median word length lands at two characters. The linguistic tilt is Catalan for 'auto'. Usage also turns up in Spanish and Polish contexts. Overall, 'autonoz.com' reads as Catalan.

Screenshot

Security scan screenshot of http://autonoz.com/

Page Load Overview

42.68s
Total Load Time
34
HTTP Requests
8
Domains
25 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
Text Length:285 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
4142.250.186.67United States
AS15169GOOGLE
254.84.240.235Ashburn, Virginia, United States
AS14618AMAZON-AES
2172.66.151.154United States
AS13335CLOUDFLARENET
2172.217.18.3United States
AS15169GOOGLE
2104.20.47.210United States
AS13335CLOUDFLARENET
2216.58.206.72United States
AS15169GOOGLE
2142.250.186.68United States
AS15169GOOGLE
22606:4700:10::6814:2fd2United States
AS13335CLOUDFLARENET
22a00:1450:4001:827::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
244.208.83.180Ashburn, Virginia, United States
AS14618AMAZON-AES
3416--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1901211F71A0008AF86A2DA8F71773F4454F3C465E03A095A6A6C5C6E1DF2F56D08AF72

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nJqYvczaLwulu2W6jXDzovTNzKofsrtw0ZTja29IjtXWYXP9IjcIlz5uHdoJlJsC:JqYvczWVq96IRm0lIIaKyj63CoReln2i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9376:tKQAcRZgAKTDBrPnkkgMIEAUJiIJ0E4pQMtDVYjYEMMdAENKsEheMAgKIkSUYAAShjholgYdIChpBuaswACKJQ1kzwGRAkSA

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:00ffffffffff0000
Perceptual Hash:c7bc47bc33443247
Difference Hash:340048000000c4c0
Wavelet Hash:0000ffffffff0000
Color Hash:#4062bf

Scan History

Scan history not available

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