Security Scan Report: www.gotoassist.com

Redirected to: https://www.logmein.com/products/resolve?utm_source=get.gotoassist.com&utm_medium=referral&utm_campaign=GTA_migration_customer

Submitted: Mar 20, 2026, 10:40:54 AMCompleted: Mar 20, 2026, 10:42:38 AMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 13 domains to perform 1 HTTP transaction. The main domain is logmein.com and was registered NaN years ago.

Submitted URL: https://www.gotoassist.com

Effective URL: https://www.logmein.com/products/resolve?utm_source=get.gotoassist.com&utm_medium=referral&utm_campaign=GTA_migration_customerRedirected

The Cisco Umbrella rank of the primary domain is #19,751 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Unified Endpoint Management (UEM) Software | LogMeIn Resolve (GoTo Resolve)

Scan Type

public

Language

🇺🇸

English

(57% confidence)

Category

technology software

(61%)

Domain Information

The domain 'www.gotoassist.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 10 characters in 'gotoassist' split between four vowels and six consonants. Breaking it apart gives 2 words: goto, assist. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.gotoassist.com

Page Load Overview

2.36s
Total Load Time
7
HTTP Requests
4
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
Text Length:226 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software61% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
61%
e-commerce shopping
52%
documentation technical
50%
cryptocurrency blockchain
48%
news media journalism
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.141.104Germany
0104.18.87.42Germany
0104.18.16.5Germany
064.239.109.1United States
AS16509Amazon.com, Inc.
0104.18.42.183GermanyUnknown
023.50.131.160Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0104.17.209.240GermanyUnknown
0172.64.145.73GermanyUnknown
023.50.131.154Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0104.18.17.5GermanyUnknown
713--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10BA4637031661CBF12934325B1507B85B18A4D1F94A8AECAF8F8CBDA3DEBE5D16131D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:brnnB51vQ+aMqmITx3p1marhIKvEqaqAu:vnnB51o+aMqmITx3p1marhIKv3aqAu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:489097:SwhEKiKBJAC14j8DQYSFHFYgQgyzAhoBRZIYDhCnEI8AxCQeiIBUVoQswihBSQYxQAzgoQUEGJYQAQRASkiIYgVPBoQIBTiu

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:fd003c3c3c3c8181
Perceptual Hash:8a5a71c996d2cb0f
Difference Hash:7931696971712b2b
Wavelet Hash:bd003c3c3c3ce787
Color Hash:#4077bf

Scan History

Scan history not available

Unable to load historical scan data