Security Scan Report: gotomeet.me

Redirected to:
https://app.goto.com/landing
Submitted: Apr 19, 2026, 7:02:27 PMCompleted: Apr 19, 2026, 7:03:49 PMpubliccompleted
Loading additional data...

Summary

This website contacted 11 IPs in 1 country across 11 domains to perform 1 HTTP transaction. The main domain is app.goto.com and was registered NaN years ago.

Submitted URL: https://gotomeet.me

Effective URL: https://app.goto.com/landingRedirected

The Cisco Umbrella rank of the primary domain is #239,220 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low risk – old domain with no malicious activity, but brand claim on low‑ranked domain warrants caution.

Risk Factors
Low Cisco Umbrella ranking for a domain claiming a well‑known brand
Potential brand impersonation (brand name shown on unrelated domain)
Safety Factors
Very old domain registration (since 1998)
Absence of forms, password fields, or payment fields
No malicious JavaScript or network indicators
Final URL points to legitimate GoTo site
Domain age information unavailable

Details

Page Title

GoTo

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'gotomeet.me' uses the Montenegrin country-code top-level domain (.me). The second-level label 'gotomeet' is 8 characters long split between four vowels and 4 consonants. It segments into two words: goto, meet. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gotomeet.me

Page Load Overview

3.96s
Total Load Time
14
HTTP Requests
7
Domains
136 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-US
Text Length:4 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
465.8.131.35United States
118.245.86.33United States
118.245.31.42United States
1104.17.208.240United StatesUnknown
1173.199.11.164Ashburn, Virginia, United States
AS31898Oracle Corporation
199.84.152.20United StatesUnknown
152.222.136.64United StatesUnknown
134.111.138.51United StatesUnknown
118.66.122.10United States
AS16509Amazon.com, Inc.
123.239.230.228United StatesUnknown
1411--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12072D9A30C62506CD7FAD39AE961734C6532E22A4943DCD876AD829F8FC5BE31060B5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:CfofHCnP67dyvy5qWYYNusfVvbfkxvUJfaDSzswrs5vhKps05Osom:CfSCnadNzQ1DSzto5KpZE0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16464:UJBaQAApIXceEMEAEc0xXAIZKUUhIQRZImAFmIhGUFEUoINakGEACuAhAzKCMBGSKIAwTIxEGCCAPZACU1BsHmAiASJwZ3gE

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:ff1f1f3ffcf8e8c9
Perceptual Hash:d98639c6b18718fa
Difference Hash:803070c010211393
Wavelet Hash:f30313103030c080
Color Hash:#d23d2d

Other Hashes

Crop Resistant:803070c010211393

Scan History

Scan history not available

Unable to load historical scan data