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Security Scan Report: get.adobe.com

Submitted: Mar 19, 2026, 8:25:59 PMCompleted: Mar 19, 2026, 8:27:10 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 10 HTTP transactions. The main domain is get.adobe.com and was registered NaN years ago.

Submitted URL: https://get.adobe.com/reader/

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

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate Adobe Acrobat Reader download page with no security concerns.

Safety Factors
Official Adobe domain (get.adobe.com)
Well‑established domain age
High Cisco Umbrella ranking
No forms collecting sensitive data
No malicious Indicators of Compromise or JavaScript malware
Domain age information unavailable

Details

Page Title

Download Adobe Acrobat Reader: Free PDF viewer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(59%)

Domain Information

The domain 'get.adobe.com' uses the commercial generic top-level domain (.com), featuring subdomain 'get'. The core label 'adobe' covers 5 characters split between 3 vowels and 2 consonants. Tokenizing the label suggests one word: adobe. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://get.adobe.com/reader/

Page Load Overview

2.31s
Total Load Time
52
HTTP Requests
14
Domains
805 KB
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
Text Length:8,923 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software59% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
59%
download file sharing
45%
documentation technical
38%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1034.252.184.159United States
AS8075
7184.24.77.22Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
723.52.180.165Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
7184.24.77.141Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
723.50.131.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
754.70.221.132UnknownUnknown
723.48.23.180UnknownUnknown
527--

Detected Technologies1

Amazon Web Services
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11AB4A2DAF9D0307D5DA7C2499990FFFDAA2FA945CB1249A6F003772087C96D309629CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:lnmi9VfloT8WlIE4w2qtmrjY82oUHPDB2Uzqqmi9VfloT8WlIE4w2qtmrjY82oUD:l61p70Oql1p70Oqw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:517060:0BAFEphV4FoUBbW14GIggZDROIUMxAMHAYCtACEBECwImkgpScABLhQgQpJEgeCSYxDJBhhJCyYhCCBZqiS9ChpoeIDCQAAh

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:ff1393bb9fff4301
Perceptual Hash:aded629292d1cd68
Difference Hash:4466767670718655
Wavelet Hash:7f13939b9fbf0000
Color Hash:#a46ce0

Other Hashes

Crop Resistant:4466767670718655

Scan History

Scan history not available

Unable to load historical scan data