Security Scan Report: new.getgobot.com

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Submitted: Nov 25, 2025, 4:33:19 PMCompleted: Nov 25, 2025, 4:35:40 PMpubliccompleted
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Summary

This website contacted 54 IPs in 2 countries across 17 domains to perform 83 HTTP transactions. The main domain is new.getgobot.com and was registered NaN years ago.

Submitted URL: https://new.getgobot.com/

The Cisco Umbrella rank of the primary domain is #72,266 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Established domain age
Good Cisco Umbrella ranking
Absence of malicious Indicators of Compromise
No sensitive data collection forms
Domain age information unavailable

Details

Page Title

Gobot - #1 Abandonment Revenue Recovery Platform

Scan Type

public

Language

🇺🇸

English

(48% confidence)

Category

e-commerce

(89%)

Domain Information

You're looking at domain 'new.getgobot.com' on the commercial generic top-level domain (.com), featuring subdomain 'new'. Count 8 characters in 'getgobot' split between 3 vowels and 5 consonants. Segmentation suggests three words: get, go, bot. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://new.getgobot.com/

Page Load Overview

1.21s
Total Load Time
83
HTTP Requests
17
Domains
4.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:48%
Script Type:Latin
Text Length:4,001 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce89% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce
89%
other
56%
malicious
49%
legitimate website
28%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
41104.18.160.117United States
AS13335CLOUDFLARENET
30142.250.186.106United States
AS15169GOOGLE
10142.250.186.131United States
AS15169GOOGLE
4142.250.184.232United States
AS15169GOOGLE
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
334.139.101.37North Charleston, South Carolina, United States
AS396982GOOGLE-CLOUD-PLATFORM
33.220.240.113Ashburn, Virginia, United States
AS14618AMAZON-AES
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
23.161.82.50United States
AS16509AMAZON-02
23.174.46.92United States
AS16509AMAZON-02
8354--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186F2B23BF964503B26038AE1F1623B4AE6D7918ECF93884469F8C74C1FE5CD2E82655D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lAzzjw3ID0HF3qfWrolfZ0m5B0xvujCSX6VazkyqU0NogfCgbrmIQzrcksGmxbf8:MERK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36827:e45qWGiMJQAWIEwrSD6BCgH6BYiwscEDESQF+TscQMCQBYGzyGQCNspAQQGICITTgAHCUaAKDPBJpSHQKI0AKECQBhBoEiET

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:e9838f8b83ffffc3
Perceptual Hash:b909e7c739c34319
Difference Hash:43163c3716610c0a
Wavelet Hash:80820f8183ffffc3
Color Hash:#2d3a86

Other Hashes

Scan History

Scan history not available

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