Building an Automated Email Phishing Detection System with Wazuh
In this blog, we’ll build a fully automated email phishing detection system using Wazuh, Gmail IMAP, and a Python-based scanner.
In this blog, we’ll build a fully automated email phishing detection system using Wazuh, Gmail IMAP, and a Python-based scanner.
The article describes integrating Wazuh with Rootly to automatically turn security alerts into managed incidents.
In this video, I introduce the Wazuh Custom Decoder Generator – a free, open-source tool.
The article explains that Wazuh Indexer security settings are stored in a system index that is often excluded from normal backups.
It presents scripts to back up, restore, and compare (diff) this security state safely.
This helps prevent configuration loss and makes auditing and recovery easier.
Wazuh is used to monitor Windows security by collecting and correlating Event Logs, Sysmon, Defender, and Active Directory data.
The article explains how to configure agents, rules, and alerts to detect suspicious activity.
It highlights improving detection through log correlation and behavioral analysis.
The article highlights the difficulty of manually creating Wazuh decoders for diverse log formats.
It introduces a Custom Decoder Generator that automatically builds decoders from sample logs.
This tool saves time, reduces errors, and simplifies testing and customization.
The article explains how to troubleshoot common Wazuh issues by checking the status and logs of its main components.
A practical implementation guide on using Wazuh 𝗔𝗻𝗼𝗺𝗮𝗹𝘆 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 to identify abnormal usage of 𝗪𝗶𝗻𝗱𝗼𝘄𝘀 𝗟𝗢𝗟𝗕𝗶𝗻𝘀 with OpenSearch ML.