Security Scan Report: r.brevo.etailment.de

Redirected to: https://www.aboutamazon.com/news/innovation-at-amazon/amazon-sellers-canvas-artificial-intelligence?utm_source=rss

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Submitted: Mar 4, 2026, 6:25:40 AMCompleted: Mar 4, 2026, 6:27:14 AMpubliccompleted
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Summary

This website contacted 10 IPs in 3 countries across 12 domains to perform 109 HTTP transactions. The main domain is aboutamazon.com and was registered NaN years ago.

Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/1t6Af4OiGsGQ0v5Nu20XxOGmPGrCJq/G-HE2fWQqXhr

Effective URL: https://www.aboutamazon.com/news/innovation-at-amazon/amazon-sellers-canvas-artificial-intelligence?utm_source=rssRedirected

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate Amazon news article accessed via a Brevo tracking link; no phishing or malware detected.

Safety Factors
Legitimate Amazon news article
Single redirect to official Amazon domain
No credential or payment collection
No malicious JavaScript or YARA detections
Open Graph metadata correctly reflects article content
Domain age information unavailable

Details

Page Title

Amazon’s new AI experience helps sellers visualize and grow their business in real time—here's how it works

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(91%)

Domain Information

Within the German country-code top-level domain (.de), 'r.brevo.etailment.de' is registered with subdomain 'r.brevo'. Count 9 characters in 'etailment' split between 4 vowels and 5 consonants. Tokenizing the label suggests two words: et, ailment. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://r.brevo.etailment.de/mk/cl/f/sh/1t6Af4OiGsGQ0v5Nu20XxOGmPGrCJq/G-HE2fWQqXhr

Page Load Overview

9.78s
Total Load Time
127
HTTP Requests
21
Domains
63.7 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:11,996 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software91% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
91%
documentation technical
89%
e-commerce shopping
81%
corporate business
77%
news media journalism
68%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1923.52.181.124Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
12142.251.208.174United States
12104.16.95.80Germany
1265.9.175.128United States
AS16509Amazon.com, Inc.
121.179.112.196France
AS396982Google LLC
12141.101.90.107Unknown
1223.52.181.12Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1213.226.244.112United States
AS16509Amazon.com, Inc.
1218.245.64.167United States
AS16509Amazon.com, Inc.
1263.140.62.200United States
AS16509Amazon.com, Inc.
12710--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C1419FBAC44E53AE6638F8E563B3F7BE052C43997D9C4E0D59CCF0916C18BA4292950

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+tWsaMtjDYVxmPkDikYM1gN0QdwNU14xbw52QRGQK/jv5fPAgFTkazMi:+pDYVxmPkDim1gRvhRGfjv5fPAEh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:208441:VQ4TAOE0RIs2CKqA0GAhBebA2gkmgU8ZhdgNkYHAEwTECSYEAJlB7EHDDAhwPyIQCQkDhoSgAKo8JALCaVgWbABQASFBQIjM

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:ffffefffff003c3c
Perceptual Hash:92fd466d939638c4
Difference Hash:6e079e1c1b2bd4dc
Wavelet Hash:ffffc3c7c300040c
Color Hash:#87c5c5

Scan History

Scan history not available

Unable to load historical scan data