Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential DLL sideloading of an unsigned 'dbghelp.dll' by the Sysinternals tool VMMap. Adversaries may place a malicious, unsigned 'dbghelp.dll' in a location where VMMap (vmmap.exe or vmmap64.exe) will load it instead of the legitimate, signed version. This technique can be used for defense evasion, persistence, or privilege escalation by executing arbitrary code within the context of a trusted application.
This rule detects potential DLL sideloading of 'libvlc.dll'. Adversaries may place a malicious 'libvlc.dll' in a directory that is searched before the legitimate VLC installation path, causing a legitimate application to load the malicious DLL instead of the intended one. This technique can be used for defense evasion, persistence, and privilege escalation. The rule specifically looks for 'libvlc.dll' being loaded from any location other than the default VLC installation directories.
This rule detects potential DLL sideloading activity involving the 'JSESPR.dll' library when it is loaded from a location other than the legitimate 'C:\Program Files\Common Files\Justsystem\JsSchHlp\' directory. This specific behavior is associated with the JUSTSYSTEMS Japanese word processor and has been observed in campaigns like 'Operation LiberalFace' targeting Japanese political entities.
Detects DLL sideloading of system DLLs that are not present on the system by default (at least not in system directories).
Usually this technique is used to achieve UAC bypass or privilege escalation.
Usually this technique is used to achieve UAC bypass or privilege escalation.
Detects processes loading the non-existent DLL "ShellChromeAPI.dll". This behavior is often associated with DLL sideloading attacks, where an adversary places a malicious DLL with a name that a legitimate application expects to load. A known example involves "DeviceEnroller.exe" attempting to load this DLL when used with the "PhoneDeepLink" flag. Adversaries can exploit this by dropping their own renamed malicious DLL to achieve defense evasion, persistence, or privilege escalation.
Detects DLL sideloading of 'vmGuestLib.dll' by the 'WmiApSrv.exe' service. This rule specifically looks for instances where 'WmiApSrv.exe' loads 'vmGuestLib.dll' from a path that includes '\VMware\VMware Tools\vmStatsProvider\win32', while the DLL itself is not legitimately signed. This behavior can indicate an attempt to execute malicious code by tricking a legitimate process into loading a rogue DLL.
Detects potential DLL sideloading of a signed dbghelp.dll by the Sysinternals VMMap utility. This rule specifically looks for VMMap (vmmap.exe or vmmap64.exe) loading a dbghelp.dll from a non-standard path ('C:\Debuggers\dbghelp.dll') where the loaded DLL is signed. This could indicate an adversary attempting to load a malicious, yet signed, DLL to evade detection or achieve persistence/privilege escalation.
Detects suspicious PowerShell invocation command parameters indicative of obfuscated or malicious activity, including base64 encoded commands, use of `IEX` (Invoke-Expression) with `New-Object`, encoded commands, attempts to establish persistence via Registry Run keys, and web client downloads.
This rule detects suspicious PowerShell invocations characterized by specific command parameters often used in malicious activities. It looks for combinations of parameters like '-nop', '-w hidden', '-c', and '[Convert]::FromBase64String' for base64 encoded commands; '-w hidden', '-noni', '-nop', '-c', 'iex', and 'New-Object' for obfuscated execution; '-w hidden', '-ep bypass', and '-Enc' for encoded command execution; PowerShell commands interacting with 'reg add' to modify 'Run' keys for persistence; and PowerShell using 'New-Object System.Net.WebClient' with '.Download' for downloading content from the internet, often with 'bypass' and 'hidden' window styles. These patterns are commonly associated with malware, post-exploitation frameworks, and adversary tradecraft.
The following analytic identifies potential DLL side-loading instances involving unsigned DLLs mimicking Microsoft signatures. It detects this activity by analyzing Sysmon logs for Event Code 7, where both the `Image` and `ImageLoaded` paths do not match system directories like `system32`, `syswow64`, and `programfiles`. This behavior is significant as adversaries often exploit DLL side-loading to execute malicious code via legitimate processes. If confirmed malicious, this activity could allow attackers to execute arbitrary code, potentially leading to privilege escalation, persistence, and unauthorized access to sensitive information.
Suspicious SQL Query
Sigma
Detects suspicious SQL query keywrods that are often used during recon, exfiltration or destructive activities. Such as dropping tables and selecting wildcard fields
Detects when an account dumps the LAPS password from Entra ID.
This analytic detects the insertion of a Linux kernel module using the `insmod` utility. It leverages data from Linux Auditd, focusing on process execution logs that include process names and command-line details. This activity is significant as it may indicate the installation of a rootkit or malicious kernel module, potentially allowing an attacker to gain elevated privileges and bypass security detections. If confirmed malicious, this could lead to unauthorized code execution, persistent access, and severe compromise of the affected system.
The following analytic detects the suspicious editing of cron jobs in Linux using the crontab command-line parameter (-e). It identifies this activity by monitoring command-line executions involving 'crontab' and the edit parameter. This behavior is significant for a SOC as cron job manipulations can indicate unauthorized persistence attempts or scheduled malicious actions. If confirmed malicious, this activity could lead to system compromise, unauthorized access, or broader network compromise.
The following analytic identifies the use of the 'lsmod' command to list kernel modules on a Linux system. This detection leverages data from Linux Auditd, focusing on process names and command-line executions. While listing kernel modules is not inherently malicious, it can be a precursor to loading unauthorized modules using 'insmod'. If confirmed malicious, this activity could allow an attacker to load kernel modules, potentially leading to privilege escalation, persistence, or other malicious actions within the system.
The following analytic detects the execution of the 'doas' tool on a Linux host. This tool allows standard users to perform tasks with root privileges, similar to 'sudo'. The detection leverages data from Linux Auditd, focusing on process names and command-line executions. This activity is significant as 'doas' can be exploited by adversaries to gain elevated privileges on a compromised host. If confirmed malicious, this could lead to unauthorized administrative access, potentially compromising the entire system.
The following analytic detects suspicious use of the `rmmod` utility for kernel module removal, which may indicate an attacker attempt to unload critical or security-related kernel modules. The `rmmod` command is used to remove modules from the Linux kernel, and unauthorized use can be a tactic to disable security features, conceal malicious activities, or disrupt system operations. By monitoring for unusual or unauthorized `rmmod` activity, this analytic helps identify potential tampering with kernel modules, enabling security teams to take proactive measures to protect system integrity and security.
The following analytic identifies processes referencing plist files that determine which applications are re-opened when a user reboots their MacOS machine. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and parent processes related to "com.apple.loginwindow." This activity is significant because it can indicate attempts to persist across reboots, a common tactic used by attackers to maintain access. If confirmed malicious, this could allow an attacker to execute code or maintain persistence on the affected system, potentially leading to further compromise.
The following analytic detects the execution of the "At" application in Linux, which can be used by attackers to create persistence entries on a compromised host. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and parent process names associated with "at" or "atd". This activity is significant because the "At" application can be exploited to maintain unauthorized access or deliver additional malicious payloads. If confirmed malicious, this behavior could lead to data theft, ransomware attacks, or other severe consequences. Immediate investigation is required to determine the legitimacy of the execution and mitigate potential risks.
This detection identifies when a new Microsoft Intune device management configuration policy has been created. Intune device management configuration policies are used by administrators to remotely manage policies and settings on Intune-managed devices. This functionality can be abused by adversaries to disable defenses and evade detection.
The analytic identifies access denied errors when attempting to invoke AWS Bedrock models. It leverages AWS CloudTrail logs to detect when a user or service receives an AccessDenied error when calling the InvokeModel API. This activity is significant as it may indicate an adversary attempting to access Bedrock models with insufficient permissions after compromising credentials. If confirmed malicious, this could suggest reconnaissance activities or privilege escalation attempts targeting generative AI resources, potentially leading to data exfiltration or manipulation of model outputs.
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