Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the creation or modification of inbox rules in Exchange/Office 365 that both apply an email suppression action (move to folder, delete, or mark as read) and filter for security-themed keywords (e.g., 'phish', 'MFA', 'SOC'). This behavior is commonly used by adversaries to hide security alerts, multi-factor authentication (MFA) prompts, or phishing incident notifications from a compromised user's mailbox.
This rule detects potentially malicious activity within Azure Automation by monitoring for the creation or modification of runbooks and jobs, combined with the presence of suspicious command-line or script patterns in job stream output, such as credential harvesting (e.g., Get-AutomationPSCredential) or execution of web-based payloads (e.g., IEX, Invoke-WebRequest).
Detects the use of certutil.exe to download files from remote URLs using the -urlcache flag or decode files using the -decode flag. This behavior is indicative of a living-off-the-land technique used by adversaries to fetch or prepare malicious payloads.
Detects potential Pass-the-Hash lateral movement where a single account uses NTLM authentication as a local administrator to access three or more distinct devices within a 30-minute window, a pattern often indicative of automated credential propagation.
Detects the creation or modification of inbox rules in Exchange/Office 365 that both apply an email suppression action (move to folder, delete, or mark as read) and filter for security-themed keywords (e.g., 'phish', 'MFA', 'SOC'). This behavior is commonly used by adversaries to hide security alerts, multi-factor authentication (MFA) prompts, or phishing incident notifications from a compromised user's mailbox.
Detects any modification (add, update, or delete) to Entra ID cross-tenant access settings. Adversaries may manipulate these trust configurations to weaken inbound security restrictions, establish unauthorized access between tenants, or facilitate cross-tenant impersonation.
This rule detects the creation of named pipes associated with known command-and-control (C2) frameworks, post-exploitation toolkits, and suspicious system activity. By filtering out common legitimate system processes and monitoring for specific pipe patterns (e.g., Cobalt Strike, Metasploit, PsExec, and sensitive RPC endpoints), the rule identifies potential lateral movement, remote execution, and post-exploitation communication channels.
Detects anomalous behavior associated with msiexec.exe that aligns with activity patterns of infostealer malwares like Lumma Stealer and Amadey Bot. This includes cross-process injection from unsigned processes, spawning of msiexec.exe by LOLBins or script interpreters, suspicious outbound network connectivity, and unauthorized access to browser credential storage files.
Detects potential Adversary-in-the-Middle (AiTM) phishing activity by identifying successful user sign-ins from a new, historically unseen IP address occurring within 30 minutes of a legitimate sign-in from a known IP, indicating the potential replay of a stolen session or refresh token.
Detects modifications or publication of Azure Automation runbooks by users or service principals other than known, pre-approved automation service principals. This activity may indicate an unauthorized user or compromised service principal attempting to inject malicious code into automation workflows.
Detects modifications to Windows Registry keys associated with Event Tracing for Windows (ETW) Autologger configurations or Event Log service configurations. These modifications can be used by adversaries to disable or tamper with event logging mechanisms, effectively blinding security telemetry and evading detection.
Detects the use of regsvr32.exe to execute remote scripts or components via a URL (a technique often referred to as Squiblydoo). This rule flags process command lines containing /i flags combined with remote HTTP/HTTPS addresses, while excluding known management tools to reduce false positives.
Detects the use of regsvr32.exe to execute remote scripts or components via a URL (a technique often referred to as Squiblydoo). This rule flags process command lines containing /i flags combined with remote HTTP/HTTPS addresses, while excluding known management tools to reduce false positives.
This rule detects successful OAuth logins originating from IP addresses identified as residential proxies. This behavior can indicate an adversary attempting to bypass geo-restrictions or obscure their true location, potentially as part of a credential stuffing attack, account takeover, or to evade detection.
This rule monitors for administrative VMware operations (cloning, snapshotting, or process manipulation) performed on sensitive infrastructure servers (such as Domain Controllers, PKI, Vault, or ADFS) that occur outside of a designated maintenance window by non-authorized accounts. It leverages tools like vim-cmd, esxcli, or govc to detect potential unauthorized VM manipulation that could lead to data theft, snapshot-based credential extraction, or unauthorized system changes.
This rule monitors for administrative VMware operations (cloning, snapshotting, or process manipulation) performed on sensitive infrastructure servers (such as Domain Controllers, PKI, Vault, or ADFS) that occur outside of a designated maintenance window by non-authorized accounts. It leverages tools like vim-cmd, esxcli, or govc to detect potential unauthorized VM manipulation that could lead to data theft, snapshot-based credential extraction, or unauthorized system changes.
This rule detects a suspicious sequence of network connections indicative of information stealer activity, specifically targeting behaviors observed with malware like VVS Stealer. It identifies instances where a non-browser process, originating from common user-writable or temporary directories (AppData, Temp, Downloads, Users\Public), first connects to an external IP discovery service (ipify.org) and then subsequently communicates with Discord services (discord.com or discordapp.com) within a ten-minute window. This pattern suggests that malware is collecting the victim's public IP address before exfiltrating stolen data (e.g., account or browser information) to Discord infrastructure, often used as a command and control or data exfiltration channel by stealers.
This rule detects potential Conditional Access bypass attempts where a Primary Refresh Token (PRT) is exchanged for an Azure Active Directory (AAD) Graph token. The detection specifically looks for successful sign-ins to 'Windows Azure Active Directory' or 'Microsoft Graph' resources from devices marked as 'compliant' but with 'Unknown' ownership or no prior device registration history in Audit Logs. This could indicate an adversary using a compromised PRT on an unregistered or untrusted device to gain access to resources that should be protected by Conditional Access policies.
This rule detects attempts to bypass Conditional Access policies by exchanging a Primary Refresh Token (PRT) for an Azure Active Directory (AAD) Graph token on a device that is either of 'Unknown' ownership or lacks a check-in history, despite being marked as compliant. This behavior could indicate an adversary attempting to gain unauthorized access to resources by leveraging a compromised PRT on an unmanaged or suspicious device, circumventing Conditional Access controls.
Detects the creation, reading, or execution of payloads stored within NTFS Alternate Data Streams (ADS). This technique is commonly used by adversaries to hide malicious content within file metadata to evade security tools. The rule monitors process command-line arguments for ADS syntax, identifies usage of utilities like type, Get-Content, wmic, or various LOLBins (e.g., regsvr32, rundll32) interacting with ADS paths, and flags anomalous file creation/modification events that involve ADS, excluding known system-generated streams.
Detects the creation of scheduled tasks using schtasks.exe, where the command line arguments reference known LOLBins (Living Off the Land Binaries) such as certutil, regsvr32, mshta, wscript, cscript, rundll32, or encoded command execution via cmd.exe. This activity often indicates an attempt to establish persistence or execute malicious code using trusted system binaries.
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