Security Scan Report: autotask.net

Redirected to: https://autotask.net/Mvc/Framework/Authentication.mvc/Authenticate

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Submitted: Feb 23, 2026, 5:49:01 AMCompleted: Feb 23, 2026, 5:50:12 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is autotask.net and was registered NaN years ago.

Submitted URL: https://autotask.net

Effective URL: https://autotask.net/Mvc/Framework/Authentication.mvc/AuthenticateRedirected

The Cisco Umbrella rank of the primary domain is #53,001 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

autotask.net

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

documentation technical

(27%)

Domain Information

Domain 'autotask.net' uses the network infrastructure generic top-level domain (.net). Its registrable label 'autotask' stretches across 8 characters split between four vowels and four consonants. It segments into 2 words: auto, task. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://autotask.net

Page Load Overview

4.11s
Total Load Time
22
HTTP Requests
1
Domains
160 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:1,556 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical27% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
27%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
228.34.161.50United States
AS15359Datto, LLC
221--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175048F773296063985558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszm2bMy8Oldq:LhoC9JSqzzbs6o3Sj3gcrsC2eAI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184451:QCA8EUIAASCNC1ZjAMI6CcG6Whiw2hgywSBSAQlEAmBgHlYOZoRQgCAVDKRKAJwBgglEgUJkQoHEULaUAAJIGRWswwKlFRKC

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:#5391ac

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

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