Security Scan Report: update-fyrbhajfruqpuvkkobwgzxup.pages.dev

Redirected to: https://helpx.adobe.com/download-install/kb/acrobat-users-sign-in-error.html

Submitted: Nov 17, 2025, 3:32:06 AMCompleted: Nov 17, 2025, 3:32:48 AMpubliccompleted
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Summary

This website contacted 73 IPs in 0 countries across 19 domains to perform 109 HTTP transactions. The main domain is helpx.adobe.com.

Submitted URL: https://update-fyrbhajfruqpuvkkobwgzxup.pages.dev/

Effective URL: https://helpx.adobe.com/download-install/kb/acrobat-users-sign-in-error.htmlRedirected

AI Security Verdict

Safe Website

Confidence: 70%

2
Risk Score

Redirect points to a legitimate Adobe help page; no malicious activity detected.

Safety Factors
Redirect leads to a legitimate Adobe help page
Absence of credential or payment collection
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

helpx.adobe.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

You're looking at domain 'update-fyrbhajfruqpuvkkobwgzxup.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'update-fyrbhajfruqpuvkkobwgzxup'. The second-level label 'pages' is 5 characters long containing 2 vowels alongside three consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://update-fyrbhajfruqpuvkkobwgzxup.pages.dev/

Page Load Overview

10.33s
Total Load Time
109
HTTP Requests
19
Domains
1.7 MB
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
Text Length:11,206 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
e-commerce shopping
69%
documentation technical
66%
social media network
60%
corporate business
58%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3723.53.42.50UnknownUnknown
163.140.62.236UnknownUnknown
151.138.12.100UnknownUnknown
123.53.41.240UnknownUnknown
123.35.236.237UnknownUnknown
1104.18.32.77UnknownUnknown
154.195.71.107UnknownUnknown
152.31.167.175UnknownUnknown
154.194.243.238UnknownUnknown
123.55.48.114UnknownUnknown
10973--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T123048F77329A063986454499E057430D9F20B143B50ACDBCBABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIszJ2bMy8OldL:VhoC9J395CbZgLtSL3gcrsF2eAR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183717:CSgSBgASAAhKZRlAE5CIiqmFYQLSBgkA0QHiCocyHaBMU4aGOh6jYNAAKIcNQyYrpEAEEAbPYBZABAwgJQKQwJAzACwAATRK

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:ffcfc3c7ffffffff
Perceptual Hash:b333cccccc233333
Difference Hash:00180c1400000000
Wavelet Hash:3f1f0307f0f0f0f0
Color Hash:#d27992

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data