Security Scan Report: pdf-xbnafigamqnvlxdipdtczalq.pages.dev

Redirected to:
https://helpx.adobe.com/download-install/kb/acrobat-users-sign-in-erro...
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 22 domains to perform 175 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://pdf-xbnafigamqnvlxdipdtczalq.pages.dev/

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

AI Security Verdict

Moderate Risk

Confidence: 92%

5
Risk Score

The site pretends to be an Adobe help page but uses an unranked, newly created subdomain and triggers a critical IDS alert, indicating a high‑risk brand impersonation scam.

Risk Factors (5)
Brand impersonation (Adobe) on unrelated domain
Unranked domain with low reputation
Unknown subdomain age on hosting platform
Critical network IDS alert indicating possible shellcode activity
Absence of legitimate content (error page)
Safety Factors (1)
Established domain (14409 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Acrobat users encountering sign-in prompts or are unable to sign in

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'pdf-xbnafigamqnvlxdipdtczalq.pages.dev' is registered, featuring subdomain 'pdf-xbnafigamqnvlxdipdtczalq'. Its registrable label 'pages' stretches across 5 characters with two vowels and 3 consonants. It segments into one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pdf-xbnafigamqnvlxdipdtczalq.pages.dev/

Page Load Overview

6.79s
Total Load Time
5.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

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
592.16.10.177Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
58172.66.44.233United States
AS13335Cloudflare, Inc.
58142.250.154.95United States
AS15169Google LLC
1753--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E048F773296063986558498F05B43099F21B143F50AC8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:i/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPD2bMy8OldJ:DhoC9JSqzzbs6okSjggcpsr2eAr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185374:1uMEgEKAJgkggBAMpLEUqgAMcjGOkcYjYpRioSZjFilATgAQ5BAQIREBcJISLBJNzRlIoKUVQADNCwSARQ0SIcIhDEhjK1QN

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:#2dd274

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data