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Security Scan Report: getbigshots.com

Submitted: Mar 17, 2026, 2:37:35 AMCompleted: Mar 17, 2026, 2:39:13 AMpubliccompleted
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Summary

This website contacted 15 IPs in 4 countries across 16 domains to perform 21 HTTP transactions. The main domain is getbigshots.com and was registered NaN years ago.

Submitted URL: https://getbigshots.com/products/stephanie-vaquer

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate product page with no security concerns.

Safety Factors
Established domain (>4 years)
Only email/username fields in forms (no credential harvesting)
No malicious Indicators of Compromise
Standard e‑commerce product page with clear product information
Domain age information unavailable

Details

Page Title

Stephanie Vaquer – BIG SHOTS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce

(50%)

Domain Information

You're looking at domain 'getbigshots.com' on the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'getbigshots' is 11 characters long containing 3 vowels alongside eight consonants. Tokenizing the label suggests 3 words: get, big, shots. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://getbigshots.com/products/stephanie-vaquer

Page Load Overview

9.32s
Total Load Time
213
HTTP Requests
17
Domains
2.6 MB
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:6,032 chars
Detector Agreement:60%

Website Classification

Primary Category

e-commerce50% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce
50%
entertainment media
46%
social media network
46%
adult content
43%
news media journalism
36%

Detected Features

Search
Products
OG: product
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17172.67.73.174United States
AS15169
1413.35.58.119United States
AS16509Amazon.com, Inc.
14104.26.14.148Sweden
AS16625
1423.227.39.200Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
1434.120.87.25Kansas City, Missouri, United States
AS396982Google LLC
1434.107.203.234Kansas City, Missouri, United States
AS396982Google LLC
142.17.177.117UnknownUnknown
14157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
14104.17.25.14UnknownUnknown
1452.222.136.116UnknownUnknown
21315--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T189740A93B4F225374443A2F19E703B94B999A107E24A56A0B9FC031D4F72F9B6E7381D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:2Yo8wR8LoncOjJB1TiWGEd0zYAzhUCwqvuI4r:YBiWGHzYAzhUCwqCr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:343303:QNCYUFQCiMGHCQJALtQAUyAZiKhRAqWOEGFMKAzKeUnQloEYjAgIIywIACCgxJIhIDbSY76eIIEim6OMBRJDDsEEAFKIg4RQ

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:00ffdfcfcf8fcfcf
Perceptual Hash:b846473f484f6179
Difference Hash:773693931b1b1b9b
Wavelet Hash:008fcbcb878783cf
Color Hash:#add279

Other Hashes

Crop Resistant:773693931b1b1b9b,f0ec3371d68ecc71,0910313535313101,d61b133b8f8f3333

Scan History

Scan history not available

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