Security Scan Report: adobe-epjflndbnsulihblnvnwpluh.pages.dev

Redirected to:
https://helpx.adobe.com/acrobat/desktop/troubleshoot/install-update-is...
Site favicon
Submitted: Aug 28, 2026, 10:56:53 AMCompleted: Aug 28, 2026, 11:06:55 AMpubliccompleted

Summary

This website contacted 30 IPs in 4 countries across 21 domains to perform 3 HTTP transactions. The main domain is helpx.adobe.com and was registered 14 years ago.

Submitted URL: https://adobe-epjflndbnsulihblnvnwpluh.pages.dev/

Effective URL: https://helpx.adobe.com/acrobat/desktop/troubleshoot/install-update-issues/acrobat-users-sign-in-error.htmlRedirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The page shows a suspicious password-only form and critical IDS alerts, indicating credential phishing despite redirecting to a legitimate Adobe site.

Risk Factors
Unranked hosting subdomain (pages.dev) with unknown age
Credential form lacking username field
Critical and high severity IDS alerts indicating possible malicious activity
Domain age information unavailable

Details

Page Title

Account Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

You're looking at domain 'adobe-epjflndbnsulihblnvnwpluh.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'adobe-epjflndbnsulihblnvnwpluh'. Count 5 characters in 'pages' holding two vowels versus three consonants. Tokenizing the label suggests one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://adobe-epjflndbnsulihblnvnwpluh.pages.dev/

Page Load Overview

15.42s
Total Load Time
151
HTTP Requests
21
Domains
3.9 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:49,137 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
e-commerce shopping
52%
corporate business
49%
documentation technical
42%
entertainment media
40%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.66.44.156Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5192.178.183.95Google · CDNUnited States
AS15169Google LLC
5146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5184.24.77.165Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
52.16.10.138Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5184.24.77.169Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
513.33.187.42Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
5172.64.155.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
513.33.187.19Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
15130--

Page Statistics

151
Requests
19
Unique Domains
4.4 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162067979A200DD4D7E3399BFFD941FD14024EE5BDCCDABC4404D882A6BE15AA36182DB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:89JWnyTEUcMNn+8d0+ihypd0+ihyPd0+ihy22R:xyTEUcvrhJrhlrhe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3661788:ElTIBAuAhoALlaIAACZEGCEyknAEkDFV3CSAHZoNQUEEdArD0BgpjCgFGAIBMAgppQUTAGwJIsXshAwWEAkJBypFAwBYCHFk

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:0000003c3c00ffff
Perceptual Hash:9b646635db646631
Difference Hash:615d787179310e69
Wavelet Hash:00003c3c3c1cffff
Color Hash:#701f93

Scan History

Scan history not available

Unable to load historical scan data