Tag: Microsoft Defender for Endpoint

  How It Works Uncoder AI reads a Sigma detection rule designed to identify DNS queries to malicious domains linked with the Katz Stealer malware family. It then automatically rewrites the logic into a fully compatible Microsoft Defender for Endpoint (MDE) Advanced Hunting query using the Kusto Query Language (KQL). Left Panel – Sigma Rule: […]

How It Works This feature of Uncoder AI transforms structured threat intel into Microsoft Defender for Endpoint-compatible KQL detection rules. In this case, it ingests IOCs from CERT-UA#11689, focusing on a known APT28 tradecraft: clipboard-based PowerShell payloads fetching staging scripts from malicious domains. IOC Extraction from Reported Behavior The left panel shows observables extracted from […]

Identifying unauthorized access to sensitive data—especially passwords—remains a critical concern for cybersecurity teams. When such access happens through legitimate tools like Notepad, visibility becomes a challenge. But with Uncoder AI’s Full Summary feature, security analysts can immediately understand the logic behind detection rules targeting exactly that type of threat. Explore Uncoder AI In a recent […]

Loading legitimate system drivers from illegitimate or suspicious directories is a known tactic for persistence, evasion, or execution by adversaries. One high-value target in this category is clfs.sys — a legitimate Windows driver tied to the Common Log File System. To detect this activity, Microsoft Defender for Endpoint supports advanced KQL-based detection logic. But to […]

File transfer services like CrushFTP are critical for business operations—but they can also be leveraged as stealthy launchpads for post-exploitation activity. When a server process such as crushftpservice.exe spawns command-line interpreters like powershell.exe , cmd.exe , or bash.exe , it may signal that an attacker is executing commands or deploying payloads under the radar. In […]