Security Scan Report: adobecancelledaccountschannel.eu1.documents.adobe.com

Redirected to:
https://acrobat.adobe.com/
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Submitted: Jun 22, 2026, 4:10:18 AMCompleted: Jun 22, 2026, 4:11:53 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is acrobat.adobe.com and was registered NaN years ago.

Submitted URL: https://adobecancelledaccountschannel.eu1.documents.adobe.com

Effective URL: https://acrobat.adobe.com/Redirected

The Cisco Umbrella rank of the primary domain is #154 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The page shows no malicious activity and redirects to an official Adobe site; it is considered legitimate.

Safety Factors
Hosted on Adobe's own domain (documents.adobe.com)
Official redirect to acrobat.adobe.com
No suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Acrobat online sign in | Login to Acrobat | Adobe Acrobat

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(68%)

Domain Information

The domain name 'adobecancelledaccountschannel.eu1.documents.adobe.com' uses the commercial generic top-level domain (.com) and includes subdomain 'adobecancelledaccountschannel.eu1.documents'. Count 5 characters in 'adobe' with 3 vowels and two consonants. It segments into 1 word: adobe. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://adobecancelledaccountschannel.eu1.documents.adobe.com

Page Load Overview

22.07s
Total Load Time
460
HTTP Requests
30
Domains
5.4 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:9,174 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software68% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
68%
documentation technical
42%
education learning
37%
government public service
33%
social media network
29%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9252.58.63.200Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
922.16.183.18Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
923.161.82.76United States
AS16509Amazon.com, Inc.
92104.18.32.77United States
AS13335Cloudflare, Inc.
922.16.183.10Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
4605--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184D493E6F4308D7629362C7DD5DA592D822899CE998843D7B18BDCF432C5BDACF0520B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:LTv/v6Dh678A5/aZb43P88lzp5UcHzoMRW0eZ:vv/v6D8ncZE3P88ZpHzoMRm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:632598:gIPOgZYhhACDTFBYq8krSUFMMIEMTgIQQEGcQCggRSoFQRAEQTK7QRHlCICmgIBsA5H0AgIMiIAHjQMEE0gBVpnkskaQdJYD

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:ff9f9fff81839f00
Perceptual Hash:bf94d2616bc14a3c
Difference Hash:e026363333277279
Wavelet Hash:ffbf9bff81810000
Color Hash:#ac5372

Other Hashes

Crop Resistant:e026363333277279

Scan History

Scan history not available

Unable to load historical scan data