Security Scan Report: acp-ss-jpn3.adobe.io

Submitted: May 6, 2026, 7:46:42 AMCompleted: May 6, 2026, 7:48:05 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is acp-ss-jpn3.adobe.io and was registered NaN years ago.

Submitted URL: https://acp-ss-jpn3.adobe.io

The Cisco Umbrella rank of the primary domain is #266 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #266.

Safety Factors
Well-established domain (ranked #266)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

acp-ss-jpn3.adobe.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(55%)

Domain Information

Domain 'acp-ss-jpn3.adobe.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'acp-ss-jpn3'. The registrable portion 'adobe' spans 5 characters split between three vowels and 2 consonants. It segments into one word: adobe. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://acp-ss-jpn3.adobe.io

Page Load Overview

1.01s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:232 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media55% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
55%
cryptocurrency blockchain
55%
technology software
52%
adult content
41%
news media journalism
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
152.68.21.102Tokyo, Tokyo, Japan
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A048E773296063986558498F05B4309AF20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:n/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPc2bMy8OldO:YhoC9JSqzzbs6okSjggcpsU2eAc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185390:AmZiAREFIBRgAw/IKikHrhmNsAiw4RBQUWKiEESIIGMESIqQRjRkJsBAAJAgbojYb6hY7IQCogRcxUYDAkQgYDAekFFSD1wS

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:ffc7c7c3f3ffffff
Perceptual Hash:b0309bcecc6d3333
Difference Hash:00141c1606000000
Wavelet Hash:fcdcc0c0030f0f0f
Color Hash:#bc79d2

Other Hashes

Crop Resistant:00141c1606000000

Scan History

Scan history not available

Unable to load historical scan data