Security Scan Report: r.brevo.etailment.de

Redirected to:
https://www.techradar.com/pro/new-report-claims-ai-is-helping-create-j...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 74 IPs in 5 countries across 45 domains to perform 258 HTTP transactions. The main domain is etailment.de.

Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/7nVU1aA2ng21FW02sffSjbq1EOBf5Rm/NcfI8zkanAVw

Effective URL:
https://www.techradar.com/pro/new-report-claims-ai-is-helping-create-j...
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Cross-domain redirect from a marketing host lands on the brand's own established site (TechRadar). Genuine news article, no credential/payment forms, no malware, no impersonation. The lone threat-intel tag is generic abuse reputation on a third-party address.

Safety Factors (5)
Final destination www.techradar.com is an established, ranked news site (brand owner of the named title)
Page is a news article (og:type=article) with no credential or payment forms
No credential exfiltration; cross-origin form posts are same-brand (techradar.com)
No YARA/kit/IDS malware indicators
Third-party JS hosts are all top-1M ranked (CDN, analytics, consent management)
Domain age information unavailable

Details

Page Title

New report claims AI is helping create jobs in UK businesses, as workers can't get enough of it | TechRadar

Scan Type

public

Domain Name Analysis

Within the German country-code top-level domain (.de), 'r.brevo.etailment.de' is registered and includes subdomain 'r.brevo'. The second-level label 'etailment' is 9 characters long holding four vowels versus five consonants. Segmentation suggests two words: et, ailment. Median word length comes out to 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/7nVU1aA2ng21FW02sffSjbq1EOBf5Rm/NcfI8zkanAVw

Page Load Overview

10.77s
Total Load Time
4.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:11,011 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism51% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
51%
documentation technical
50%
news/blog
50%
adult content
45%
technology software
37%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39146.75.122.114Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3172.246.243.65Paris, Île-de-France, France
AS200484Sendinblue SAS
3141.101.90.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3108.138.7.17Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
318.66.102.114Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
351.104.28.77Azure · CLOUDLondon, England, United Kingdom
AS8075Microsoft Corporation
399.84.152.45Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
313.35.58.33Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3142.251.20.97Google · CDNUnited States
AS15169Google LLC
3104.18.21.31Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
25874--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FBA59E91F110257A6E6341E9A29EF60D72395242EB068DE8FDDDB02407CE7EEB133758

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

49152:UGCM7VxNkkQJVCNeeCX4cI8POfNDLbIEaFedYD7ktPzbx/ri5:BDa5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2069553:LggqJgQRGWBCCUkUABFQYlAKLLMe6KCeEHJIsZAwIBNIBQyAHzLWAUpkaAI+QqDo0QEErkAREQwiUgQIahbABRKWKwAGouSj

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:0000ffbdbd8dc700
Perceptual Hash:9acf3431cf3265b0
Difference Hash:6195696979199d9d
Wavelet Hash:00013f3fffcf0700
Color Hash:#6ce083

Scan History

Scan history not available

Unable to load historical scan data