Security Scan Report: grandpashabet7033.com

Redirected to: https://cutt.ly/guard/grandagiris

Submitted: Jan 17, 2026, 6:51:35 AMCompleted: Jan 17, 2026, 6:52:51 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is cutt.ly and was registered NaN years ago.

Submitted URL: https://grandpashabet7033.com

Effective URL: https://cutt.ly/guard/grandagirisRedirected

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

High‑risk phishing page mimicking Google; do not provide any information.

Risk Factors
Brand impersonation on an unrelated domain
Unranked domain presenting a well‑known brand
Suspicious redirect to a URL shortener that does not resolve to the brand
Domain age information unavailable

Details

Page Title

New Tab

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'grandpashabet7033.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 17 characters in 'grandpashabet7033' containing 4 vowels alongside nine consonants; it also includes 4 digits. Word splitting yields four words: grand, pasha, bet, 7033. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://grandpashabet7033.com

Page Load Overview

7.43s
Total Load Time
5
HTTP Requests
2
Domains
2 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:1,775 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
3172.66.145.80United States
AS13335CLOUDFLARENET
23.33.251.168United States
AS16509AMAZON-02
52--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192736AF5D6F96394158FC3D5EB661895AF3E10FB264981A4722C9BF0AF11898CF87C80

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HIkPaMxf/N6cw15UxDTti0xhfK6DV/JPsEnOJwNtPDsTSq:Ek2AZzxLDV/JJw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76905:BWIhDnGIlCwItBQQBcEUaAgCC0oiI03kRiiCUJVhIAQFHbeCeQwQQiCIyEAwwFAJghAmoVAjUwIEYgDqEOlBMCoFAE6CLcUR

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:eee7c3e7fffffffe
Perceptual Hash:f7225588dd88dd89
Difference Hash:080c1e0800000000
Wavelet Hash:1e0703270f0f0f0e
Color Hash:#931f4a

Other Hashes

Crop Resistant:080c1e0800000000

Scan History

Scan history not available

Unable to load historical scan data