Security Scan Report: usaaccessories.com

Redirected to:
https://forsale.godaddy.com/forsale/usaaccessories.com?utm_source=TDFS...
Site favicon
Submitted: Sep 25, 2026, 5:34:59 PMCompleted: Sep 25, 2026, 5:35:34 PMpubliccompleted

This website contacted 12 IPs in 2 countries across 7 domains to perform 62 HTTP transactions. The main domain is forsale.godaddy.com and was registered 23 years ago.

Submitted URL: http://usaaccessories.com/

Effective URL:

https://forsale.godaddy.com/forsale/usaaccessories.com?utm_source=TDFS...
Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

GoDaddy's own parked domain-sale page for usaaccessories.com, reached via cross-domain redirect. No forms, no impersonation, no threat-intel hits — a legitimate brokerage listing.

Safety Factors
Final destination forsale.godaddy.com is an established, ranked domain owned by the named brand
Redirect terminates on the brand's own site — a normal acquired-domain/parked-page pattern, not phishing
No credential or payment forms present anywhere on the rendered page
Real support phone number and standard privacy/legal controls displayed
Domain age information unavailable

Details

Page Title

usaaccessories.com steht zum Verkauf: jetzt kaufen für 877,00 $ oder leasen | GoDaddy

Scan Type

public

Domain Name Analysis

You're looking at domain 'usaaccessories.com' on the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'usaaccessories' covers 14 characters containing 7 vowels alongside 7 consonants. Word splitting yields 2 words: usa, accessories. Median word length comes out to 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.04s
Total Load Time
901 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:951 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
713.248.169.48Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
52.23.245.17Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
523.207.210.148Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
523.52.180.13Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
523.207.210.143Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5142.250.154.154Google · CDNUnited States
AS15169Google LLC
576.223.54.146Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
52.21.239.21Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
52.21.239.4Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
523.38.98.114Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6212--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131B092EDBC62E48868F536911EA3B60C185AA2E7B9018B4018C02876A96435FCD0BBC9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVIZx/XMn30EEBuvFfD0OkADYyT0NV9kBbZ6iF4:hax/XW3/p5mmYyT0NVuB965

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a3974caa901a0620a3364cc38d92cf4d

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:000004fffbffffff
Perceptual Hash:921203ededb992d6
Difference Hash:53cccc2c2234326c
Wavelet Hash:0000040cfbffff3f
Color Hash:#2da1d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data