Detections

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

509 detections

Detects remote service activity via remote access to the svcctl named pipe
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
004
Detects when an admin share is mounted using net.exe
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
004
Detects the execution of SharpMove, a .NET utility performing multiple tasks such as "Task Creation", "SCM" query, VBScript execution using WMI via its PE metadata and command line options.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
004
Detects a threat actor creating a file named `wbemcomn.dll` in the `C:\Windows\System32\wbem\` directory over the network and loading it for a WMI DLL Hijack scenario.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
004
Detects a threat actor creating a file named `wbemcomn.dll` in the `C:\Windows\System32\wbem\` directory over the network and loading it for a WMI DLL Hijack scenario.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
004
Detects default RemCom pipe creation
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
004
First query digs in print spooler drivers folder for any file creations,
MANY OF THE FILES THAT SHOULD COME UP HERE MAY BE LEGIT. Unsigned files
or ones that don't have any relations to printers that you are using are
suspicious.
Second query that can be used for finding client machines that
could be operating print servers or file servers is also included here.
As additional mitigation for the exploit you might want to block the
incoming traffic to the SMB or EPMAP Ports (445) if you need to keep the
spooler service running to print from clients.
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0022
This query was originally published in the threat analytics report, Doppelpaymer: More human-operated ransomware. There is also a related blog.
DoppelPaymer is ransomware that is spread manually by human operators. These operators have exhibited extensive knowledge of system administration and common network security misconfigurations. They often use stolen credentials from over-privileged service accounts to turn off security software, run malicious commands, and spread malware throughout an organization. More specifically, they use common remote execution tools, such as PsExec, to move laterally and distribute ransomware.
The following query detects suspicious usage of PsExec to create files on a remote device.
The See also section below lists links to other queries associated with DoppelPaymer.
References:
https://msrc-blog.microsoft.com/2019/11/20/customer-guidance-for-the-dopplepaymer-ransomware/
https://www.microsoft.com/wdsi/threats/malware-encyclopedia-description?Name=Trojan:Win32/DoppelPaymer!MTB&threatId=-2147205372
https://docs.microsoft.com/sysinternals/downloads/psexec
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0018
This YARA rule detects the VanHelsing ransomware based on specific byte patterns associated with its file encryption routines, network enumeration capabilities, shadow copy deletion, and ransomware note dropping. The rule includes two main versions of the ransomware's functionality, indicating potential evolution or different variants.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
1 year ago
0030
Detects the execution of copy commands or utilities (robocopy, xcopy, cmd copy, PowerShell Copy-Item/Move-Item) targeting or originating from Windows administrative shares (like C$, ADMIN$) or the SYSVOL folder. This activity can indicate lateral movement or data staging by an adversary.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
0033
This rule detects suspicious command-line executions on Windows systems, as identified in a CISA 'Living off the Land' report. The rule looks for specific patterns in process command lines that, while potentially benign in isolation, could indicate reconnaissance, lateral movement, or data staging activities when observed in concert. Examples include the use of 7-Zip for archiving with a password, specific `pcwrun.exe` or `rar.exe` commands, `ping` commands with unusual parameters or output redirection, `dir` commands targeting network shares, `wmic` commands for process creation or `whoami` execution, `net use` commands for IPC shares, `xcopy` for data movement, and PowerShell commands to launch hidden batch files.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
1046
Detects remote RPC calls to possibly abuse remote encryption service via MS-EFSR. This rule specifically looks for EventID 3 in the RPCFW EventLog, indicating a blocked or audited RPC call, and targets the InterfaceUUIDs associated with the Encrypting File System Remote (EFSR) protocol.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
0024
This rule detects remote procedure calls (RPC) targeting the MS-SRVS interface (UUID: 4b324fc8-1670-01d3-1278-5a47bf6ee188) which is associated with the Server Service. Abuse of this service can be used for lateral movement within a network, potentially for creating remote shares or other administrative functions. The detection relies on logs from an RPC Firewall.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
0024
This rule detects the use of the 'net use' command to connect to Windows administrative shares (C$, ADMIN$, IPC$). Adversaries often use these shares for lateral movement, file transfer, and remote execution within a network. The rule specifically looks for command-line executions containing 'net use' followed by one of the common administrative share names, case-insensitively.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
0042
This rule detects the use of the 'net use' command to connect to Windows administrative shares (C$, ADMIN$, IPC$). It specifically looks for these commands being executed by users who are not part of the 'Information Technology' department or who have the title 'Intern', indicating potentially suspicious activity or a deviation from standard administrative practices. The rule leverages user enrichment data to refine its detection.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
0039
Detects rundll32 execution where the DLL is located on a remote network share (UNC path). This technique is often used by adversaries for defense evasion, execution, and lateral movement by leveraging a legitimate Windows utility to load and execute malicious code from a remote location.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
0018
This rule detects the use of 'net use' commands to connect to Windows administrative shares (C$, ADMIN$, IPC$) from a principal IP address associated with a Windows asset entity. It correlates process launch events with asset entity data, specifically looking for Windows machines within the 'Domain Computers' group. This activity can indicate lateral movement or remote access by an adversary.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
0031
This rule detects the use of the 'net use' command to connect to Windows administrative shares (C$, ADMIN$, IPC$) by users who are members of the 'Domain Admins' group. It specifically looks for process launch events where the command line contains 'net use' followed by one of the administrative share names. The rule correlates this activity with user entity data to identify if the executing user is part of the 'Domain Admins' group, indicating potential lateral movement or administrative activity.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
0026
Yara rule that detects VanHelsing ransomware.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
1 year ago
000
Net use commands for SMB/Windows admin shares focused on UDM enriched user fields
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
002
Detects a copy command or a copy utility execution to or from an Admin share or remote
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
1 year ago
000
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