Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

2,087 detections

Detects the execution of PowerShell with commands intended to modify or interact with Windows Registry Run keys, a common technique for establishing persistence.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects the execution of PowerShell with commands intended to modify or interact with Windows Registry Run keys, a common technique for establishing persistence.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects execution of commands used to modify critical Android system settings, such as enabling accessibility services, developer options, or wireless debugging. These commands are commonly associated with the use of the Android Debug Bridge (ADB) to facilitate unauthorized device control, persistence, or configuration changes indicative of malicious activity or post-exploitation.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects the loading of a module named 'MicDriver.dll' or the execution of a process named 'MicDriver.exe'. These filenames are potentially indicative of malicious activity using masquerading or attempts to hijack execution flow using filenames that resemble legitimate audio drivers.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
101
Detects potentially malicious script execution patterns, specifically targeting Windows Script Host (wscript.exe) invoking .vbs or .wsf files, and PowerShell execution involving suspicious command line arguments such as encoding (-enc), external URL downloading, or attempts to execute or archive files (Expand-Archive, WebClient DownloadFile).
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects the execution of a file named 'msedge.exe' residing within the C:\ProgramData\Microsoft\Windows\Telemetry\ directory. Microsoft Edge typically resides in 'C:\Program Files (x86)\Microsoft\Edge\Application\', making execution from the telemetry directory highly suspicious and indicative of potential process masquerading.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects potentially malicious activity by monitoring for a specific executable file name ('msedge.exe') located in a non-standard path ('ProgramData'), as well as network connections to a known malicious IP address ('193.23.118.155') and DNS requests for a domain associated with suspicious activity ('deadhub.org').
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects the execution of a file with a suspicious media-themed filename (e.g., related to 1080p, BluRay, etc.) from a known BitTorrent client process, followed by an immediate network connection to a known malicious C2 IP address or domain within a 10-minute window. This behavior is indicative of a user downloading and executing a malicious file disguised as pirated media.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects the execution of a specific known malicious file (identified by MD5 hash A0B13781EDD7CFDAB13D79AFFF3C83C1) followed by an outbound network connection to a suspicious IP address (193.23.118.155) or domain (deadhub.org) within a 10-minute window. This behavior is indicative of a malicious loader establishing a command and control (C2) channel.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule monitors for the execution of 'net.exe' or 'net1.exe' with command line arguments containing 'user', '/add', and a specific suspicious string 'Numlock!123'. This pattern is indicative of an adversary attempting to create a local user account on a Windows system using a hardcoded or known adversary credential.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects instances where a new executable file (.exe) is written to the file system following a download event. The rule specifically looks for scenarios where the download URL ends in .exe or is a direct download link, while flagging cases where the referrer is empty or missing, often indicative of direct downloads from C2 infrastructure or scripts rather than user-initiated browser navigation.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects high-volume outbound network traffic (exceeding 100MB) generated by processes identifying as 'python-httpx' to non-internal IP addresses. This activity is often associated with automated data exfiltration using Python-based tools.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects potential exploitation of a CrowdStrike Falcon remediation process vulnerability ('FalconFlank'). The rule identifies either direct execution of the PoC binary or the suspicious combination of a CrowdStrike remediation process loading an unsigned or untrusted DLL from a user-writable path followed by the same process spawning a command shell in the SYSTEM context within 15 minutes.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
7021
Detects the use of .NET reflection assembly loading techniques (e.g., Assembly.Load, [Reflection.Assembly]::Load) within the command line arguments of known LOLBAS (Living Off the Land Binary and Script) processes. This behavior is frequently associated with fileless malware execution or the loading of malicious assemblies directly into the memory space of trusted Windows binaries.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects the execution of the HTSPnew.Exe ransomware payload, associated with a trojanized HTS DLL, and subsequent ransomware-related file operations, such as the creation of .krsid encrypted files and the dropping of a Korean-language ransom note (README_KRSID.Txt).
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects the execution of 'HTSPnew.Exe', a utility associated with suspicious activity or ransomware simulation, combined with command-line arguments that suggest testing, batch execution, or help requests.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
This rule detects scenarios where a specific parent process generates five or more child processes, which can be an indicator of suspicious automation, scripting activity, or potential brute-force behavior. It groups events by host and parent process image to identify potential anomalous process density.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
101
Detects the use of PowerShell to enumerate system disks, volumes, and partitions, specifically targeting removable media identifiers. This behavior is commonly associated with reconnaissance activities where an adversary attempts to identify attached storage devices for potential data staging or exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects the execution of processes named 'DriverInstaller.exe' or 'Automata-20.exe', the invocation of cmd.exe as a child process of these executables, or network requests originating from these processes to GitHub API and raw content endpoints. This pattern is indicative of potential initial access, tool staging, or malicious payload retrieval.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects potential command and control (C2) beaconing activity to GitHub repository API endpoints. The rule monitors for a high frequency of requests to specific file names commonly associated with C2 payloads (e.g., command.txt, results.txt, heartbeat.txt) and employs statistical analysis to identify consistent, non-random connection patterns that deviate from expected business usage.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
This rule monitors for suspicious memory-based code execution patterns, such as reflective loading or execution of code from memory segments marked with executable permissions (PAGE_EXECUTE_READWRITE or PAGE_EXECUTE_READ) that do not originate from a signed Microsoft file. It specifically flags memory regions containing the MZ header that lack a corresponding backing file, as well as specific known suspicious DLL patterns or memory protection flag changes indicative of process injection or fileless execution.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
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