Security Scan Report: r.brevo.etailment.de

Redirected to:
https://www.facebook.com/sharer/sharer.php?u=https://www.facebook.com/...
Site favicon
Submitted: May 12, 2026, 5:25:48 AMCompleted: May 12, 2026, 5:27:47 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 5 domains to perform 16 HTTP transactions. The main domain is facebook.com and was registered NaN years ago.

Submitted URL: https://r.brevo.etailment.de/mk/cl/f/sh/7nVU1aA2ng20nBHqSHJMoRZxP0MgLji/1J4SELdjl0C_

Effective URL: https://www.facebook.com/sharer/sharer.php?u=https://www.facebook.com/etailmentRedirected

AI Security Verdict

Moderate Risk

Confidence: 85%

5
Risk Score

The site impersonates Facebook with a login form on an unranked, unrelated domain, indicating a high‑risk credential phishing attempt.

Risk Factors
Brand impersonation with mismatched domain
Credential collection form on unranked domain
High JavaScript obfuscation score
Unranked domain despite claiming a major brand
Login page text mimicking Facebook UI
Safety Factors
Domain age > 10 years (well‑established)
No malicious Indicators of Compromise detected
No JavaScript malware YARA matches
No network IDS alerts
Cross‑origin form submission goes to legitimate facebook.com endpoint
Established domain (10636 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(97%)

Domain Information

You're looking at domain 'r.brevo.etailment.de' on the German country-code top-level domain (.de); it also runs on subdomain 'r.brevo'. The second-level label 'etailment' is 9 characters long with four vowels and 5 consonants. Segmentation suggests 2 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/7nVU1aA2ng20nBHqSHJMoRZxP0MgLji/1J4SELdjl0C_

Page Load Overview

1.65s
Total Load Time
34
HTTP Requests
6
Domains
236 KB
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:605 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network97% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
97%
technology software
74%
e-commerce shopping
51%
documentation technical
47%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1057.144.244.128Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
857.144.244.1Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
8141.101.90.107United States
AS13335Cloudflare, Inc.
8172.246.243.65Paris, Île-de-France, France
AS200484Sendinblue SAS
344--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F453FA0A735CDC3319374F9494C33109E9AF112B8E986AC4D19E5F7D59CBAB83106AEB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:uNPlSQOM20/BUO2FDgo9FKGFUH9NG7zHptdq1/:K9fuDLI9NGtq1/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:61305:QSpnEqkjBAingRwF0cZJEgqIWlCTg8REQCQEgDAYIqNA4AIgYEKAigmQRopw5JEYwpLoAIIBxQAcriQwCghUbiM5TiKNsySR

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:3e3e7e7e7e7e7e7f
Perceptual Hash:801f0f55fe00eaf5
Difference Hash:e0c0c08080808080
Wavelet Hash:323232724e4e4e0e
Color Hash:#bf8040

Other Hashes

Crop Resistant:e0c0c08080808080

Scan History

Scan history not available

Unable to load historical scan data