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Security Scan Report: grip.events

Submitted: Jan 13, 2026, 1:22:01 PMCompleted: Jan 13, 2026, 1:26:59 PMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 23 domains to perform 1 HTTP transaction. The main domain is grip.events and was registered NaN years ago.

Submitted URL: https://grip.events

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain (>9 years old)
No credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Grip - The AI-powered Event Platform Built for Business Relationships

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(67%)

Domain Information

Within the .events top-level domain, 'grip.events' is registered without a subdomain. The registrable portion 'grip' spans 4 characters with one vowel and 3 consonants. Word splitting yields one word: grip. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://grip.events

Page Load Overview

106.16s
Total Load Time
1
HTTP Requests
0
Domains
N/A
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:9,798 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business67% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
67%
technology software
28%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.251.141.104United States
AS15169GOOGLE
0172.64.148.115United States
AS13335CLOUDFLARENET
018.173.205.104United States
AS16509AMAZON-02
0198.202.211.1United States
AS209242Cloudflare London, LLC
0151.101.2.217United States
AS54113FASTLY
0146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
03.174.46.44United States
AS16509AMAZON-02
0142.250.184.202United States
AS15169GOOGLE
013.226.247.67United States
AS16509AMAZON-02
0104.18.18.62United States
AS13335CLOUDFLARENET
020--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B614D772D1F03079854389E8B2B5736E7572432ADF138989B2FA9B10CBCBDDE4682754

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TzLgHRlbe4rwSoN/JOviAwbzM5vF157LVr3eQ53zMGW0P+nh/9jcFzP+XNeEROhX:TzLyxw6F7LTEshKi2qty0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:201148:2IQIwUKgQK0KA9AliEFCHFHJCAcVoCUcURIgACRQQZhoAgAWOEpU4tpA1AKDAAVqQ43TAQECQrA5EKLHgAHuJAakSRACxjkg

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:0000f1d1f3f3ffff
Perceptual Hash:ec4913263219efe9
Difference Hash:bcc333332727031d
Wavelet Hash:0000f191d1b1ffff
Color Hash:#6e3a78

Other Hashes

Crop Resistant:bcc333332727031d,3bcb629c94c49661,64d69b02928283c1,cd8d82822899c3cb,0d4d4d37cdc9f1e1

Scan History

Scan history not available

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