ScanMalware.com

Security Scan Report: smlclvip.com

Redirected to:
https://www.gp1vip.com/vip-program.html
Site favicon
Submitted: Aug 22, 2026, 6:45:08 PMCompleted: Aug 22, 2026, 6:46:42 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/0111d5a0-0e0c-47e0-adad-616649f1dd3eDomain and IP registration (RDAP)/api/v1/rdap/0111d5a0-0e0c-47e0-adad-616649f1dd3eCertificate Transparency/api/v1/ct/gp1vip.comHow often this domain was scanned/api/v1/domain/stats/smlclvip.comScan history for this domain/api/v1/domain/history/smlclvip.com?limit=15

This website contacted 6 IPs in 1 country across 14 domains to perform 46 HTTP transactions. The main domain is gp1vip.com and was registered 29 years ago.

Submitted URL: https://smlclvip.com

Effective URL:

https://www.gp1vip.com/vip-program.html
Redirected

The Cisco Umbrella rank of the primary domain is #710,566 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Site impersonates a known automotive brand but lacks credential collection and shows no malicious behavior; low risk overall.

Risk Factors (2)
Brand impersonation without credential collection
Low domain ranking for a claimed major brand
Safety Factors (3)
Established domain age
No malicious JavaScript or network alerts
No credential or payment forms
Domain age information unavailable

Details

Page Title

Sterling McCall VIP Services

Scan Type

public

Domain Name Analysis

The domain name 'smlclvip.com' uses the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'smlclvip' stretches across 8 characters holding one vowel versus 7 consonants. Word splitting yields four words: s, ml, cl, vip. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://smlclvip.com

Page Load Overview

5.98s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:3,306 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
38%
documentation technical
32%
e-commerce shopping
29%
education learning
29%
news media journalism
28%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1169.165.62.104United States
AS11320LightEdge Solutions
7142.251.14.95Google · CDNUnited States
AS15169Google LLC
7216.240.188.136Valley Center, California, United States
AS11320LightEdge Solutions
7142.251.150.119Google · CDNUnited States
AS15169Google LLC
7104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.251.110.95Google · CDNUnited States
AS15169Google LLC
466--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D45194A71D04C40BEA90D2DBB66E704EC493D81D9FD0ADF0E4A9113EADE4BF98077946

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TU4/ZQ8mkaEbXVTsYxD+UIwUIlzsBuQnGZM4Zn+UIwUIl4W7UI2Zbsw3:TUS2kaIXdsYPInIlzuuQnGJjInIl4WAT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2723:IAyAECACQFEARAggAEAAAAAAEMgGlQAAEAIEEAEBwBAABEAIEAABBAAAAABREAEAAACAECAAAEAQAKAABIAiAIgQABEAgAFQ

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:fffbf0e0e0a000ff
Perceptual Hash:e78c9d51e036d9c8
Difference Hash:486263cfc3494c2a
Wavelet Hash:ffbbb0e0e02000ff
Color Hash:#931f7a

Other Hashes

Crop Resistant:486263cfc3494c2a,2d6de95a5a9a81e7,96b6c9ccc8b2d676,92284808108864c0

Scan History

Scan history not available

Unable to load historical scan data