Security Scan Report: gotoassist.at

Submitted: Apr 12, 2026, 12:32:07 PMCompleted: Apr 12, 2026, 12:33:51 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is gotoassist.at.

Submitted URL: https://gotoassist.at

The Cisco Umbrella rank of the primary domain is #262,724 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 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

gotoassist.at

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

technology software

(60%)

Domain Information

The domain 'gotoassist.at' uses the Austrian country-code top-level domain (.at) without a subdomain. The registrable portion 'gotoassist' spans 10 characters split between 4 vowels and 6 consonants. Tokenizing the label suggests two words: goto, assist. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gotoassist.at

Page Load Overview

0.41s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:68%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:68%
Script Type:Latin
Text Length:83 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software60% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
60%
cryptocurrency blockchain
49%
documentation technical
46%
phishing scam
41%
news media journalism
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
250.16.15.2Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszA2bMy8Olds:JhoC9JSqzzbs6o3Sj3gcrsc2eAi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184456:BBU8KcA8EkwBo8GYYDBAAKQKApQBIYUyICJgRKgIOS4ACX34MRAHiwsC0iNIpAUWBUkVQrBQnYgoeF6AOQyYAEOBCQFgggEI

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#e0a86c

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

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