Security Scan Report: cc-collab-ew1.adobe.io

Submitted: Dec 25, 2025, 2:08:52 AMCompleted: Dec 25, 2025, 2:14:01 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 20 HTTP transactions. The main domain is cc-collab-ew1.adobe.io and was registered NaN years ago.

Submitted URL: https://cc-collab-ew1.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

Legitimate Adobe subdomain; page not found but no security concerns.

Safety Factors
Established Adobe subdomain (adobe.io)
High reputation ranking
No suspicious indicators detected
Domain age information unavailable

Details

Page Title

cc-collab-ew1.adobe.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(61%)

Domain Information

The domain name 'cc-collab-ew1.adobe.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'cc-collab-ew1'. Its registrable label 'adobe' stretches across 5 characters holding three vowels versus 2 consonants. Breaking it apart gives one word: adobe. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cc-collab-ew1.adobe.io

Page Load Overview

28.08s
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:240 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain61% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
61%
technology software
54%
entertainment media
49%
news media journalism
43%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
134.252.125.237Dublin, Leinster, Ireland
AS16509AMAZON-02
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ofQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszF2bMy8OldO:jhoC9JSqzzbs6o3Sj3gcrsh2eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184648:HACgKAWCaaE4CURsDJIUECOAgkg02ABpKROXAAyAf4CvggJ4QAVEyWcOAR5FJZABBVEAEHaiSzgjgFUCFJEAeBKKsEhkaUBO

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:ffc3c7c3f3ffffff
Perceptual Hash:e4309bcecc4d3333
Difference Hash:00141c1606000000
Wavelet Hash:3f1f0303030f0f0f
Color Hash:#bf40b7

Other Hashes

Crop Resistant:00141c1606000000

Scan History

Scan history not available

Unable to load historical scan data