Security Scan Report: messenger-api.ui.cloudservices.acquia.io

Submitted: Jan 17, 2026, 9:09:49 AMCompleted: Jan 17, 2026, 9:11:34 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is messenger-api.ui.cloudservices.acquia.io and was registered NaN years ago.

Submitted URL: https://messenger-api.ui.cloudservices.acquia.io

The Cisco Umbrella rank of the primary domain is #87,907 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>10 years old)
High Cisco Umbrella ranking
No credential or payment forms
No malicious Indicators of Compromise
HTTPS endpoint (secure connection)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'messenger-api.ui.cloudservices.acquia.io' on the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'messenger-api.ui.cloudservices'. The registrable portion 'acquia' spans 6 characters holding four vowels versus two consonants. It segments into two words: ac, quia. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://messenger-api.ui.cloudservices.acquia.io

Page Load Overview

0.59s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:42 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.32.99.42New York, New York, United States
AS16509AMAZON-02
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134D022B2C060090A97335BECEE82B1888FC5B20D94710D01BDC0E4E889CB91AC653284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iL9RAIX/GZR49aLVAL4jS8K4FLfRRyIdlJ:qzxV/5VHHQYk/B96OGvvVljNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:1053a2377f24eca8e909aadbde60b2a2

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:00ffffffffffffff
Perceptual Hash:87070f0f0f0f0f1f
Difference Hash:c000000000000000
Wavelet Hash:00fff0f0f0f0f0f0
Color Hash:#2d6b86

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data