Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a service principal or user account performing a burst of 'ListKeys' operations across multiple Azure Storage accounts. This behavior is indicative of an attacker attempting to dump access keys for multiple storage accounts after initial compromise or privilege escalation to gain further access to sensitive cloud data.
Detects attempts to delete Azure resource locks protecting Site Recovery or Backup services, followed by credential retrieval (ListKeys) within a one-hour window. This sequence pattern is a strong indicator of an adversary attempting to disable backup protection before potentially destroying data or exfiltrating keys.
Detects the abuse of WerFaultSecure.exe or similar Windows Error Reporting processes, invoked with debugging or dumping flags against security/EDR process names, or spawned by unexpected parent processes. This technique is often used to freeze security tools (EDR-Freeze) by exploiting process suspension via mini-dump handles.
Detects a suspected ClickFix infection sequence associated with Psychedelic Stealer. The rule identifies a user navigating to known malicious lure pages (often mimicking Cloudflare CAPTCHAs) followed shortly by the Windows Run dialog (explorer.exe) initiating msiexec.exe to execute a remote MSI file.
This rule detects the execution of processes that use file names mimicking legitimate security or system services, such as 'Credential Guard.exe' or 'Window Security Health Services.exe'. These names are often used by adversaries for masquerading to evade detection by blending in with legitimate system activity.
Detects the AgtaBackup RAT keylogger process, which masks itself as a legitimate Windows service ('Window Security Health Services.exe'), running with SYSTEM privileges and lacking a valid digital signature.
For years, when hunting phishing emails, I have mainly focused on what the user sees inside of it. But I think AI agents are going to change this.
An email may soon have two audiences: Human + AI Agent. And they may not always see exactly the same thing.
In this new KQL, I explore a simple example: invisible Unicode characters. Microsoft and Micro<U+200B>soft may look the same to us, but not necessarily to a detection, filter, parser or AI agent. For attackers, this difference can be interesting as a way to obfuscate content and potentially evade keyword-based detections or other systems processing the text.
I hunt these patterns in email and add context around them. Because attackers will not only write emails for us. They will(are) start writing emails for our agents too.
An email may soon have two audiences: Human + AI Agent. And they may not always see exactly the same thing.
In this new KQL, I explore a simple example: invisible Unicode characters. Microsoft and Micro<U+200B>soft may look the same to us, but not necessarily to a detection, filter, parser or AI agent. For attackers, this difference can be interesting as a way to obfuscate content and potentially evade keyword-based detections or other systems processing the text.
I hunt these patterns in email and add context around them. Because attackers will not only write emails for us. They will(are) start writing emails for our agents too.
Detects suspicious process execution patterns associated with RMMCRAT, where the Windows SmartScreen process (smartscreen.exe) spawns cmd.exe, which subsequently launches PowerShell with specific parameters for piped input/output. This behavior is characteristic of malicious code injection and command-and-control activity.
Detects successful Entra ID authentication events where the user login originated from an anonymized or malicious IP address, or exhibited unfamiliar features, despite successfully completing multi-factor authentication (MFA). This pattern is consistent with adversary-in-the-middle (AiTM) phishing attacks, where a proxy service is used to intercept and bypass MFA controls.
Detects the execution of a file named 'msedge_proxy.exe' located in temporary directories (AppData\Local\Temp or Windows\Temp). The rule excludes processes initiated from legitimate Microsoft Edge installation paths, and flags processes that are either spawned simultaneously with the parent or are not spawned by explorer.exe, indicating potential masquerading or unauthorized execution of a malicious file disguised as a browser component.
Detects the execution of known, signed legitimate binaries (COTFileReadApp.exe or DeElevate64.exe) from user-writable directories, such as %LOCALAPPDATA%\Programs\. This behavior is a common indicator of DLL sideloading, where adversaries utilize a trusted, signed application to execute malicious code by placing a malicious DLL in the same directory as the executable.
Detects the execution of rundll32.exe or regsvr32.exe where the command line arguments reference a DLL that was recently written to the disk on the same host. This behavior is indicative of a RAT or malware dropping a secondary payload (DLL) and immediately executing it using built-in Windows binary proxies to bypass security controls.
Detects the 'ClickFix' social engineering pattern where an adversary tricks a user into using the Windows Run dialog (explorer.exe) to execute msiexec.exe, downloading and installing a remote MSI package. This is frequently associated with malware delivery, such as Psychedelic Stealer, where users are prompted to copy and paste malicious commands under the guise of fake error messages or CAPTCHAs.
Detects the execution of PowerShell commands that reflectively load .NET assemblies into memory, followed immediately by a process injection event targeting Chromium-based browsers (e.g., chrome.exe) or Firefox. This behavior is highly characteristic of credential harvesting tools like BoundSiphon, which injects code into browser processes to decrypt and extract App-Bound encryption keys.
Detects the CARBONATO botnet's XMRig cryptocurrency miner attempting to hide its presence on Linux hosts by masquerading as the systemd-logind binary or by spoofing kernel thread names such as [kworker/u2:0] in process command-line arguments.
Detects a suspected anti-debugging and anti-instrumentation sequence on Android devices. This rule identifies instances where 'getprop' is used to query system properties related to device security (ro.debuggable, ro.secure) followed shortly by a local network probe to the standard Frida instrumentation server port (27042). This combination is indicative of malware gating its execution to ensure it is not running within a controlled or debugged environment.
Detects the loading of spoofed system DLLs (dnsapi.dll or ws2_32.dll) from non-system directories, followed by network beaconing to suspicious domains associated with the NeedyMantis malware.
Detects msiexec.exe initiating network connections to or executing packages from endpoints containing 'capher.php' and token parameters. This behavior is associated with the 'ClickFix' delivery chain, where adversaries use malicious websites or scripts to trick users into downloading and executing installer files.
Detects the execution of the DEL command via cmd.exe spawned by sqlservr.exe, specifically targeting batch scripts, executables, or text files located within AppData or ServiceProfiles paths. This behavior is indicative of post-exploitation activity where an attacker removes staging artifacts used during lateral movement or persistence phases to hide their tracks after using xp_cmdshell.
Detects the execution of binaries using the '-i -c <batch_file>' command-line argument pattern, which is characteristic of the NetworkServiceExploit tool used for token impersonation and privilege escalation. This rule specifically monitors for this pattern when spawned by processes like sqlservr.exe, commonly seen in exploitation chains involving xp_cmdshell.
Detects post-compromise activity associated with the NeedyMantis group, specifically the staging of a legitimate binary alongside a malicious DLL and a paired archive, followed by the execution of the legitimate binary to trigger DLL side-loading. This activity is typically preceded by Impacket-style remote command execution (e.g., wmiexec, smbexec, atexec).
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