Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects potential credential harvesting or process memory manipulation against browser processes (Chrome or Edge). The rule monitors for unauthorized debugging activity initiated against browser processes (e.g., using flags like DEBUG_PROCESS or specific API calls) and the access of the App-Bound encryption provider symbol, which is often a target for attackers seeking to decrypt browser-stored secrets.
Detects several potentially malicious activities related to Active Directory Certificate Services (AD CS). This includes high volumes of failed requests (potential enumeration), requests for sensitive templates (privilege escalation), and potential impersonation attempts using Subject Alternative Names (SANs). These activities are associated with AD CS abuse techniques.
Detects the execution of processes named 'ProManager.exe' or 'ProManagerServicedc894.exe', which may be indicative of unauthorized software or potentially malicious activity.
Detects the execution of processes named 'ProManager.exe' or 'ProManagerServicedc894.exe', which may be indicative of unauthorized software or potentially malicious activity.
Detects processes other than the official Telegram desktop client accessing sensitive local data files ('key_datas', 'settingss', 'usertag') within the Telegram application directory. This activity is often associated with credential theft or session hijacking.
Detects the execution of package managers (pip or npm) to install software dependencies initiated by development or agent-related processes (like IDEs or background services) in a non-interactive session. This behavior can be indicative of automated dependency confusion attacks, malicious supply chain activity, or unauthorized package installation occurring without direct user oversight.
Detects attempts to modify or disable the Windows Update service (wuauserv) using command-line utilities (sc.exe, cmd.exe, powershell.exe) in a context involving 'LockAppHost.exe'. This pattern is often associated with unauthorized attempts to tamper with security update mechanisms to prevent system patching.
Detects the use of 'schtasks.exe' to disable critical Windows Update or ExploitGuard Malware Removal tasks when initiated by 'LockAppHost.exe'. This behavior is highly irregular, as the LockAppHost process is typically associated with the Windows Lock Screen and should not be modifying security-related scheduled tasks.
Detects malicious network connections, file downloads, or process execution associated with the REVSTEALER malware campaign, which utilizes hijacked YouTube channels to distribute fake game-cheat videos that lure users into downloading 'resightloader.exe' from specific malicious domains.
Detects the loading of registry hives using the 'reg load' command. This technique is often associated with adversary attempts to manipulate the Windows registry, access sensitive data, or establish persistence, particularly when followed by actions executed in the SYSTEM context from the same process lineage.
Detects instances where WerFault.exe or WerMgr.exe, running with SYSTEM privileges, loads a DLL file from the Windows\System32 directory that was created within 10 minutes of the image load event. This behavior is indicative of potential DLL side-loading or hijack techniques used to achieve privilege escalation.
This rule detects the creation of a scheduled task using 'schtasks.exe' where the task name matches commonly abused names such as 'WinUpdate.exe', 'SoftManager.exe', or 'LockAppHost.exe'. These names are frequently used by adversaries to masquerade as legitimate Windows processes to achieve persistence.
This rule detects the creation of a scheduled task using 'schtasks.exe' where the task name matches commonly abused names such as 'WinUpdate.exe', 'SoftManager.exe', or 'LockAppHost.exe'. These names are frequently used by adversaries to masquerade as legitimate Windows processes to achieve persistence.
Detects the use of PowerShell commands to add directory exclusions to Windows Defender settings. Adversaries often use this technique to exclude directories in 'AppData' from being scanned by antivirus solutions to hide malicious activity, tools, or persistence mechanisms.
This rule detects the addition of specific suspicious executables to Windows Registry run keys. Adversaries use these keys to achieve persistence, ensuring that malicious programs execute automatically upon user logon.
Detects modifications to the Windows UserInitMprLogonScript registry value. This registry entry allows the execution of a logon script whenever a user logs into the system. Adversaries can abuse this mechanism to achieve persistence by pointing this value to a malicious executable or script, such as 'SoftManager.exe' in this specific detection context.
Detects modifications to the Windows UserInitMprLogonScript registry value. This registry entry allows the execution of a logon script whenever a user logs into the system. Adversaries can abuse this mechanism to achieve persistence by pointing this value to a malicious executable or script, such as 'SoftManager.exe' in this specific detection context.
Detects suspicious executions of 'nslookup.exe' and 'svchost.exe' when triggered by the Windows LockAppHost process. This pattern is indicative of potential process injection or masquerading attempts by malicious actors using legitimate system processes as proxies for unauthorized activity.
The following analytic identifies public network connections initiated by Living Off the Land Binaries and Scripts (LOLBAS) that rarely require direct outbound network access.
It leverages the Network Traffic data model and focuses on native Windows binaries where any public destination should be investigated and explicitly approved.
This activity may indicate proxy execution, process injection, payload download, command-and-control, or other abuse of trusted binaries to evade security controls.
Keep in mind that some of these binaries, such as Netsh.exe, Gpscript.exe, Wmic.exe, etc., will occasionally communicate with public network resources to perform their intended function.
Exclude said processes from the detection if they are too noisy for your environment.
Join this detection with the Process Execution events to provide context and avoid false positives.
It leverages the Network Traffic data model and focuses on native Windows binaries where any public destination should be investigated and explicitly approved.
This activity may indicate proxy execution, process injection, payload download, command-and-control, or other abuse of trusted binaries to evade security controls.
Keep in mind that some of these binaries, such as Netsh.exe, Gpscript.exe, Wmic.exe, etc., will occasionally communicate with public network resources to perform their intended function.
Exclude said processes from the detection if they are too noisy for your environment.
Join this detection with the Process Execution events to provide context and avoid false positives.
Detects abuse of Tiny-C-Compiler (TinyCC) for shellcode execution, where tcc.exe is renamed to masquerade as svchost.exe and used to compile and execute C source files containing shellcode.
This technique was observed in the Lotus Blossom Chrysalis backdoor campaign, where attackers renamed "tcc.exe" to "svchost.exe", and executed a file named "conf.c" containing Metasploit block_api shellcode with the flags -nostdlib -run.
TinyCC is a legitimate C compiler, but its ability to compile and execute code on-the-fly makes it attractive to attackers seeking to evade detection.
The combination of a renamed compiler binary executing from non-standard locations with suspicious flags is a strong indicator of malicious activity.
This technique was observed in the Lotus Blossom Chrysalis backdoor campaign, where attackers renamed "tcc.exe" to "svchost.exe", and executed a file named "conf.c" containing Metasploit block_api shellcode with the flags -nostdlib -run.
TinyCC is a legitimate C compiler, but its ability to compile and execute code on-the-fly makes it attractive to attackers seeking to evade detection.
The combination of a renamed compiler binary executing from non-standard locations with suspicious flags is a strong indicator of malicious activity.
Detects unauthorized devices or processes attempting to communicate with the Telegram Bot API (/sendMessage or /sendDocument) and monitors for credential-related terms within the request metadata. This often indicates the use of Telegram as a command-and-control (C2) channel for data exfiltration or credential theft.
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