ScanMalware.com

Security Scan Report: pdf-nuatuiepjmojbmgwhcwlkqmu.pages.dev

Redirected to:
https://helpx.adobe.com/download-install/kb/acrobat-users-sign-in-erro...
Submitted: Apr 23, 2026, 7:42:59 PMCompleted: Apr 23, 2026, 7:44:19 PMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 4 HTTP transactions. The main domain is helpx.adobe.com and was registered NaN years ago.

Submitted URL: http://pdf-nuatuiepjmojbmgwhcwlkqmu.pages.dev/

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

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The pages.dev subdomain shows critical shellcode and obfuscation alerts with no legitimate forms, indicating a high‑risk malware distribution site.

Risk Factors
Critical shellcode IDS alert indicating possible exploit delivery
High‑severity hex‑obfuscation IDS alerts
Unknown subdomain age on a free hosting platform
Unranked domain reputation
Potential social‑engineering title without legitimate brand backing
Safety Factors
No credential or payment forms detected
No JavaScript malware YARA patterns matched
No credential exfiltration observed
Meta tags do not claim to be an official brand
Page content could not be fetched (no malicious script visible)
Established domain (14402 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

helpx.adobe.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

forum

(40%)

Domain Information

The domain 'pdf-nuatuiepjmojbmgwhcwlkqmu.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'pdf-nuatuiepjmojbmgwhcwlkqmu'. Count 5 characters in 'pages' split between 2 vowels and 3 consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://pdf-nuatuiepjmojbmgwhcwlkqmu.pages.dev/

Page Load Overview

6.72s
Total Load Time
176
HTTP Requests
22
Domains
4.4 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-US
Text Length:23,843 chars
Detector Agreement:100%

Website Classification

Primary Category

forum40% confidence
Type: static
Method: structural

All Detected Categories

forum
40%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44150.171.109.101Germany
AS15169
44142.251.20.95United States
AS15169Google LLC
442.16.10.167Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
44188.114.97.3United States
AS13335Cloudflare, Inc.
1764--

Detected Technologies4

Java
50%
Typekit
30%
Adobe Fonts
30%
Adobe Experience Manager
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ifQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszX2bMy8OldL:ZhoC9JSqzzbs6o3Sj3gcrsT2eAR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184614:V8UAOIRV0EQV9vAIJhUY2QRWyAAIgBIEUUjFwCYAEIBRREYJUg2RGh0t827BMFqMbgCAGwFeAu6KCXUYGICMKOXoMUwiWRIA

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:00180c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#2d6186

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data