Security Scan Report: acrobat.adobe.com

Redirected to: https://acrobat.adobe.com/id/urn:aaid:sc:US:f4e3ea4d-6970-4bb9-bac2-c231fffb1392?viewer%21megaVerb=group-discover

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Submitted: Jan 12, 2026, 1:59:01 PMCompleted: Jan 12, 2026, 2:03:51 PMpubliccompleted
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Summary

This website contacted 19 IPs in 3 countries across 20 domains to perform 230 HTTP transactions. The main domain is acrobat.adobe.com and was registered NaN years ago.

Submitted URL: https://acrobat.adobe.com/id/urn:aaid:sc:US:f4e3ea4d-6970-4bb9-bac2-c231fffb1392

Effective URL: https://acrobat.adobe.com/id/urn:aaid:sc:US:f4e3ea4d-6970-4bb9-bac2-c231fffb1392?viewer%21megaVerb=group-discoverRedirected

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Adobe Acrobat

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(55%)

Domain Information

You're looking at domain 'acrobat.adobe.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'acrobat'. Count 5 characters in 'adobe' with three vowels and two consonants. Word splitting yields one word: adobe. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://acrobat.adobe.com/id/urn:aaid:sc:US:f4e3ea4d-6970-4bb9-bac2-c231fffb1392

Page Load Overview

17.56s
Total Load Time
510
HTTP Requests
28
Domains
10.1 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:4,552 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software55% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
55%
documentation technical
51%
social_media
25%
forum
25%

Detected Features

Search
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5834.197.224.31Ashburn, Virginia, United States
AS14618AMAZON-AES
423.230.130.186Ashburn, Virginia, United States
AS14618AMAZON-AES
2623.52.181.12Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2613.33.187.44New York, New York, United States
AS16509AMAZON-02
26172.66.0.163United States
AS13335CLOUDFLARENET
263.161.82.113United States
AS16509AMAZON-02
2695.100.110.8Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2623.48.23.153Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
26146.75.121.138Frankfurt am Main, Hesse, Germany
AS54113FASTLY
26104.18.20.58United States
AS13335CLOUDFLARENET
51019--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A87509F6D9611C29283A2C3EC5EA699D5324948B16489BD7B08BECF41FC97D6CF1120F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:uualUCDOU5QK37IcER5SIC3EweU3O9SCAg133U7z0BeePEb7zoMFiaBRZB5U:uualUCDkKq3i04ePY7zoMFiaBRZB5U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1587930:cCiBXBWYh4QIQAqHAnEAECcUAwycQEEuJdDgEEEDMQGAGjnSlIkEgKA7TEgQZFh2hKCJkk9EguFQEjFqIAuJU0wUTgWiQBZe

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:ffffe7c7c3c3c3c3
Perceptual Hash:b0d6c9cc1873cb6c
Difference Hash:88948c8c968e8e96
Wavelet Hash:7c7e66c743434343
Color Hash:#93931f

Other Hashes

Crop Resistant:88948c8c968e8e96

Scan History

Scan history not available

Unable to load historical scan data