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Security Scan Report: files.acrobat.com

Redirected to: https://acrobat.adobe.com/us/en/

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Submitted: Nov 26, 2025, 8:35:24 AMCompleted: Nov 26, 2025, 8:37:23 AMpubliccompleted
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Summary

This website contacted 84 IPs in 4 countries across 29 domains to perform 405 HTTP transactions. The main domain is acrobat.adobe.com.

Submitted URL: https://files.acrobat.com/

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

The Cisco Umbrella rank of the primary domain is #1,385 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Adobe Acrobat sign‑in page with no security concerns.

Safety Factors
Official brand domain with proper redirects
High Cisco Umbrella ranking
No credential or payment collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Adobe Acrobat

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

malicious

(68%)

Domain Information

The domain 'files.acrobat.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'files'. The registrable portion 'acrobat' spans 7 characters split between 3 vowels and 4 consonants. Segmentation suggests one word: acrobat. Median word length comes out to seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://files.acrobat.com/

Page Load Overview

2.00s
Total Load Time
405
HTTP Requests
29
Domains
14.2 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
Text Length:747 chars
Detector Agreement:100%

Website Classification

Primary Category

malicious68% confidence
Type: static
Method: ml+structural

All Detected Categories

malicious
68%
other
66%
suspicious phishing
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22223.36.162.203Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7023.36.162.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2634.197.224.31Ashburn, Virginia, United States
AS14618AMAZON-AES
183.161.82.113United States
AS16509AMAZON-02
17184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11104.18.86.42United States
AS13335CLOUDFLARENET
513.33.187.42New York, New York, United States
AS16509AMAZON-02
599.84.152.108United States
AS16509AMAZON-02
4104.18.32.77United States
AS13335CLOUDFLARENET
413.33.187.74New York, New York, United States
AS16509AMAZON-02
40584--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14585E6F2E9611C29283A1C6DD5DA695C5314A08B1A48ABD7F58FACF85FC57D2CF2020F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:HGTJalUpa73nTwWd7R5AIh9w9SCAggvC+1tWBPznazoMmJk:HGTJalUY3tC8kBP7azoMmJk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1762074:uEDECyEKAApAUICcUMCgSEgYcAEnCvBGEAQMviAgLCbCQnsAAyoQ0imAFSaK4YAMGWkkUx2hanEVijTiLCAwgaIAOyUAQYGY

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:ffff83839f8f8fff
Perceptual Hash:bdc1c21ac03e6fc3
Difference Hash:10006636303e3c00
Wavelet Hash:30fe82828e0686fe
Color Hash:#798fd2

Other Hashes

Crop Resistant:10006636303e3c00,555d27d6dc4d5545

Scan History

Scan history not available

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