deardaniel/secdata-raw huggingface dataset:
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk
Date: 2026-04-15

Description:
The following analytic detects the addition of NOPASSWD entries to the /etc/sudoers file on Linux systems. It leverages Endpoint Detection and Response (EDR) telemetry to identify command lines containing "NOPASSWD:". This activity is significant because it allows users to execute commands with elevated privileges without requiring a password, which can be exploited by adversaries to maintain persistent, privileged access. If confirmed malicious, this could lead to unauthorized privilege escalation, persistent access, and potential compromise of sensitive data and system integrity.

References:
  - https://askubuntu.com/questions/334318/sudoers-file-enable-nopasswd-for-user-all-commands
  - https://help.ubuntu.com/community/Sudoers
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk
Date: 2026-04-15

Description:
The following analytic detects suspicious process injection in command shell applications, specifically targeting `cmd.exe` and `powershell.exe`. It leverages Sysmon EventCode 8 to identify the creation of remote threads within these shell processes. This activity is significant because it is a common technique used by malware, such as IcedID, to inject malicious code and execute it within legitimate processes. If confirmed malicious, this behavior could allow an attacker to execute arbitrary code, escalate privileges, or maintain persistence within the environment, posing a severe threat to system security.

References:
  - https://thedfirreport.com/2021/07/19/icedid-and-cobalt-strike-vs-antivirus/
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Raven Tait, Splunk
Date: 2026-04-13

Description:
Detects usage of Crowdstrike Real Time Response (RTR) to execute a "runscript" command.
This can be used by malicious actors with access to the Crowdstrike Dashboard to execute commands on remote managed hosts.

References:
  - https://cloud.google.com/blog/topics/threat-intelligence/unc3944-targets-saas-applications
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Mauricio Velazco, Splunk
Date: 2026-04-15

Description:
The following analytic detects the execution of the `Get-DomainComputer` commandlet using PowerShell Script Block Logging (EventCode=4104). This commandlet is part of PowerView, a tool often used for enumerating domain computers within Windows environments. The detection leverages script block text analysis to identify this specific command. Monitoring this activity is crucial as it can indicate an adversary's attempt to gather information about domain computers, which is a common step in Active Directory reconnaissance. If confirmed malicious, this activity could lead to further network enumeration and potential lateral movement within the domain.

References:
  - https://attack.mitre.org/techniques/T1018/
  - https://powersploit.readthedocs.io/en/latest/Recon/Get-DomainComputer/
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk
Date: 2026-05-04

Description:
The following analytic detects the modification of a firewall rule to allow the execution of a specific application. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events with command-line arguments related to firewall rule changes. This activity is significant as it may indicate an attempt to bypass firewall restrictions, potentially allowing unauthorized applications to communicate over the network. If confirmed malicious, this could enable an attacker to execute arbitrary code, escalate privileges, or maintain persistence within the target environment.

References:
  - https://app.any.run/tasks/ad4c3cda-41f2-4401-8dba-56cc2d245488/
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Michael Haag, Splunk
Date: 2026-04-15

Description:
The following analytic detects the usage of specific Exchange PowerShell modules, such as New-MailboxExportRequest, New-ManagementRoleAssignment, New-MailboxSearch, and Get-Recipient. It leverages PowerShell Script Block Logging (EventCode 4104) to identify these commands. This activity is significant because these modules can be exploited by adversaries who have gained access via ProxyShell or ProxyNotShell vulnerabilities. If confirmed malicious, attackers could export mailbox contents, assign management roles, conduct mailbox searches, or view recipient objects, potentially leading to data exfiltration, privilege escalation, or unauthorized access to sensitive information.

References:
  - https://docs.microsoft.com/en-us/powershell/module/exchange/new-mailboxexportrequest?view=exchange-ps
  - https://docs.microsoft.com/en-us/powershell/module/exchange/new-managementroleassignment?view=exchange-ps
  - https://blog.orange.tw/2021/08/proxyshell-a-new-attack-surface-on-ms-exchange-part-3.html
  - https://www.zerodayinitiative.com/blog/2021/8/17/from-pwn2own-2021-a-new-attack-surface-on-microsoft-exchange-proxyshell
  - https://thedfirreport.com/2021/11/15/exchange-exploit-leads-to-domain-wide-ransomware/
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk, Steven Dick
Date: 2026-04-15

Description:
The following analytic detects a registry modification that allows the 'Consent Admin' to perform operations requiring elevation without user consent or credentials. It leverages data from the Endpoint.Registry data model, specifically monitoring changes to the 'ConsentPromptBehaviorAdmin' value within the Windows Policies System registry path. This activity is significant as it indicates a potential privilege escalation attempt, which could allow an attacker to execute high-privilege tasks without user approval. If confirmed malicious, this could lead to unauthorized administrative access and control over the compromised machine, posing a severe security risk.

References:
  - https://docs.microsoft.com/en-us/openspecs/windows_protocols/ms-gpsb/341747f5-6b5d-4d30-85fc-fa1cc04038d4
  - https://www.trendmicro.com/vinfo/no/threat-encyclopedia/malware/Ransom.Win32.MRDEC.MRA/
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Raven Tait, Splunk
Date: 2026-04-13

Description:
Detects known executables used for infection or DLL side loading by Mustang Panda being launched from a non-C:\ location.
This can indicate a compromise via USB, or external storage device.
You will have to adapt this detection if you do not use C:\ as the root device.

References:
  - https://decoded.avast.io/threatintel/apt-treasure-trove-avast-suspects-chinese-apt-group-mustang-panda-is-collecting-data-from-burmese-government-agencies-and-opposition-groups/
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk
Date: 2026-04-15

Description:
The following analytic detects a PowerShell script that enumerates camera devices on the targeted host. This detection leverages PowerShell Script Block Logging, specifically looking for commands querying Win32_PnPEntity for camera-related information. This activity is significant as it is commonly observed in DCRat malware, which collects camera data to send to its command-and-control server. If confirmed malicious, this behavior could indicate an attempt to gather sensitive visual information from the host, potentially leading to privacy breaches or further exploitation.

References:
  - https://cert.gov.ua/article/405538
  - https://malpedia.caad.fkie.fraunhofer.de/details/win.dcrat
  - https://www.mandiant.com/resources/analyzing-dark-crystal-rat-backdoor
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk
Date: 2026-02-25

Description:
The following analytic identifies the execution of the Windows OS tool klist.exe, often used by post-exploitation tools like winpeas. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and parent process details. Monitoring klist.exe is significant as it can indicate attempts to list or gather cached Kerberos tickets, which are crucial for lateral movement or privilege escalation. If confirmed malicious, this activity could enable attackers to move laterally within the network or escalate privileges, posing a severe security risk.

References:
  - https://github.com/carlospolop/PEASS-ng/tree/master/winPEAS
  - https://www.microsoft.com/en-us/security/blog/2022/10/14/new-prestige-ransomware-impacts-organizations-in-ukraine-and-poland/
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Mauricio Velazco, Splunk
Date: 2026-04-15

Description:
The following analytic detects the execution of the Get-GPPPassword PowerShell cmdlet, which is used to search for unsecured credentials in Group Policy Preferences (GPP). This detection leverages PowerShell Script Block Logging to identify specific script block text associated with this cmdlet. Monitoring this activity is crucial as it can indicate an attempt to retrieve and decrypt stored credentials from SYSVOL, potentially leading to unauthorized access. If confirmed malicious, this activity could allow an attacker to escalate privileges or move laterally within the network by exploiting exposed credentials.

References:
  - https://attack.mitre.org/techniques/T1552/006/
  - https://pentestlab.blog/2017/03/20/group-policy-preferences/
  - https://adsecurity.org/?p=2288
  - https://www.hackingarticles.in/credential-dumping-group-policy-preferences-gpp/
  - https://adsecurity.org/?p=2288
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk
Date: 2026-04-15

Description:
This detection monitors the creation or modification of the Default.rdp file by non mstsc.exe process, typically found in the user's Documents folder. This file is automatically generated or updated by the Remote Desktop Connection client (mstsc.exe) when a user initiates an RDP session. It stores connection settings such as the last-used hostname, screen size, and other preferences. The presence or update of this file strongly suggests that an RDP session has been launched from the system. Since this file is commonly overlooked, it can serve as a valuable artifact in identifying remote access activity, including potential lateral movement or attacker-controlled sessions.

References:
  - https://medium.com/@bonguides25/how-to-clear-rdp-connections-history-in-windows-cf0ffb67f344
  - https://thelocalh0st.github.io/posts/rdp/
  - https://iam0xc4t.medium.com/rogue-rdp-via-spear-phishing-initial-access-tactic-d7be328a0b13
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk
Date: 2026-04-15

Description:
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.

References:
  - https://www.mandiant.com/resources/blog/apt29-wineloader-german-political-parties
  - https://www.zscaler.com/blogs/security-research/european-diplomats-targeted-spikedwine-wineloader
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Jose Hernandez, Splunk
Date: 2026-04-15

Description:
The following analytic identifies potential exploitation of Log4Shell CVE-2021-44228 by correlating multiple MITRE ATT&CK tactics detected in risk events. It leverages Splunk's risk data model to calculate the distinct count of MITRE ATT&CK tactics from Log4Shell-related detections. This activity is significant because it indicates a high probability of exploitation if two or more distinct tactics are observed. If confirmed malicious, this activity could lead to initial payload delivery, callback to a malicious server, and post-exploitation activities, potentially resulting in unauthorized access, lateral movement, and further compromise of the affected systems.

References:
  - https://research.splunk.com/stories/log4shell_cve-2021-44228/
  - https://www.splunk.com/en_us/blog/security/simulating-detecting-and-responding-to-log4shell-with-splunk.html
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: David Dorsey, Michael Haag, Splunk, Steven Dick
Date: 2026-04-15

Description:
The following analytic detects modifications to files with extensions commonly associated with ransomware. It leverages the Endpoint.Filesystem data model to identify changes in file extensions that match known ransomware patterns. This activity is significant because it suggests an attacker is attempting to encrypt or alter files, potentially leading to severe data loss and operational disruption. If confirmed malicious, this activity could result in the encryption of critical data, rendering it inaccessible and causing significant damage to the organization's data integrity and availability.

References:
  - https://github.com/splunk/security_content/issues/2448
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk
Date: 2026-04-15

Description:
The following analytic detects the suspicious use of the whoami command, which may indicate an attacker trying to gather information about the current user account on a compromised system. The whoami command is commonly used to verify user privileges and identity, especially during initial stages of an attack to assess the level of access. By monitoring for unusual or unauthorized executions of whoami, this analytic helps in identifying potential reconnaissance activities, enabling security teams to take action before the attacker escalates privileges or conducts further malicious operations.

References:
  - https://www.splunk.com/en_us/blog/security/deep-dive-on-persistence-privilege-escalation-technique-and-detection-in-linux-platform.html
  - https://github.com/peass-ng/PEASS-ng/tree/master/linPEAS
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk
Date: 2026-04-15

Description:
The following analytic detects potential access or modification of the /etc/sudoers file on a Linux system. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on processes like "cat," "nano," "vim," and "vi" accessing the /etc/sudoers file. This activity is significant because the sudoers file controls user permissions for executing commands with elevated privileges. If confirmed malicious, an attacker could gain persistence or escalate privileges, compromising the security of the targeted host.

References:
  - https://attack.mitre.org/techniques/T1548/003/
  - https://web.archive.org/web/[PII_REDACTED]5426/https://www.cobaltstrike.com/downloads/csmanual43.pdf
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Patrick Bareiss, Splunk
Date: 2026-04-15

Description:
The following analytic identifies the creation of a program executable in an unquoted service path, a common technique for privilege escalation. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events where the parent process is 'services.exe'. This activity is significant because unquoted service paths can be exploited by attackers to execute arbitrary code with elevated privileges. If confirmed malicious, this could allow an attacker to gain higher-level access, potentially leading to full system compromise and persistent control over the affected endpoint.

References:
  - https://medium.com/@SumitVerma101/windows-privilege-escalation-part-1-unquoted-service-path-c7a011a8d8ae
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk
Date: 2026-04-15

Description:
The following analytic identifies a suspicious series of command-line executions attempting to disable multiple services. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on processes where "sc.exe" is used with parameters like "config" or "Disabled" within a short time frame. This activity is significant as it may indicate an adversary's attempt to disable security or other critical services to further compromise the system. If confirmed malicious, this could lead to the attacker achieving persistence, evading detection, or disabling security mechanisms, thereby increasing the risk of further exploitation.

References:
  - https://thedfirreport.com/2020/04/20/sqlserver-or-the-miner-in-the-basement/
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Michael Haag, Splunk
Date: 2026-04-15

Description:
The following analytic detects the execution of the Apache Benchmark binary (ab.exe), commonly used by MetaSploit payloads. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events where the original file name is ab.exe. This activity is significant as it may indicate the presence of a MetaSploit attack, which uses Apache Benchmark to generate malicious payloads. If confirmed malicious, this could lead to unauthorized network connections, further system compromise, and potential data exfiltration. Immediate investigation is required to determine the intent and scope of the activity.

References:
  - https://seclists.org/metasploit/2013/q3/13
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Michael Haag, Teoderick Contreras, Splunk
Date: 2026-04-15

Description:
The following analytic detects the usage of headless browsers within an organization. It identifies processes containing the "--headless" and "--disable-gpu" command line arguments, which are indicative of headless browsing. This detection leverages data from the Endpoint.Processes datamodel to identify such processes. Monitoring headless browser usage is significant as these tools can be exploited by adversaries for malicious activities like web scraping, automated testing, and undetected web interactions. If confirmed malicious, this activity could lead to unauthorized data extraction, automated attacks, or other covert operations on web applications.

References:
  - https://www.trendmicro.com/en_us/research/26/a/analysis-of-the-evelyn-stealer-campaign.html
  - https://cert.gov.ua/article/5702579
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Dean Luxton
Date: 2026-04-15

Description:
The following analytic detects changes to the sIDHistory attribute of user or computer objects across different domains. It leverages Windows Security Event Codes 4738 and 4742 to identify when the sIDHistory attribute is modified. This activity is significant because the sIDHistory attribute allows users to inherit permissions from other AD accounts, which can be exploited by adversaries for inter-domain privilege escalation and persistence. If confirmed malicious, this could enable attackers to gain unauthorized access to resources, maintain persistence, and escalate privileges across domain boundaries.

References:
  - https://adsecurity.org/?p=1772
  - https://learn.microsoft.com/en-us/windows/win32/adschema/a-sidhistory?redirectedfrom=MSDN
  - https://learn.microsoft.com/en-us/defender-for-identity/security-assessment-unsecure-sid-history-attribute
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Michael Haag, Splunk
Date: 2026-04-15

Description:
The following analytic detects modifications to the Windows Registry SIP Provider. It leverages Sysmon EventID 7 to monitor registry changes in paths and values related to Cryptography Providers and OID Encoding Types. This activity is significant as it may indicate an attempt to subvert trust controls, a common tactic for bypassing security measures and maintaining persistence. If confirmed malicious, an attacker could manipulate the system's cryptographic functions, potentially leading to unauthorized access, data theft, or other damaging outcomes. Review the modified registry paths and concurrent processes to identify the attack source.

References:
  - https://attack.mitre.org/techniques/T1553/003/
  - https://github.com/SigmaHQ/sigma/blob/master/rules/windows/registry/registry_set/registry_set_sip_persistence.yml
  - https://specterops.io/wp-content/uploads/sites/3/2022/06/SpecterOps_Subverting_Trust_in_Windows.pdf
  - https://github.com/gtworek/PSBits/tree/master/SIP
  - https://github.com/mattifestation/PoCSubjectInterfacePackage
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk
Date: 2026-04-15

Description:
The following analytic detects the creation of scheduled tasks in Windows that use the rundll32 command. It leverages Windows Security EventCode 4698, which logs the creation of scheduled tasks, and filters for tasks executed via rundll32. This activity is significant as it is a common technique used by malware, such as TrickBot, to persist in an environment or deliver additional payloads. If confirmed malicious, this could lead to data theft, ransomware deployment, or other damaging outcomes. Immediate investigation and mitigation are crucial to prevent further compromise.

References:
  - https://labs.vipre.com/trickbot-and-its-modules/
  - https://whitehat.eu/incident-response-case-study-featuring-ryuk-and-trickbot-part-2/
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Nasreddine Bencherchali, Splunk
Date: 2026-05-04

Description:
The following analytic detects the usage of wevtutil.exe with the "clear-log" parameter in order to clear the contents of logs. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant because clearing event logs can be an attempt to cover tracks after malicious actions, hindering forensic investigations. If confirmed malicious, this behavior could allow an attacker to erase evidence of their activities, making it difficult to trace their actions and understand the full scope of the compromise.


References:
  - https://github.com/redcanaryco/atomic-red-team/blob/master/atomics/T1070.001/T1070.001.md
Sigma Detection Rule: 
Repository: splunk/security_content
Status: production
Author: Teoderick Contreras, Splunk
Date: 2026-02-09

Description:
The following analytic detects instances where a Dynamic Link Library (DLL) is loaded from a temporary directory on a Windows system. Loading DLLs from non-standard paths such as %TEMP% is uncommon for legitimate applications and is often associated with adversary tradecraft, including DLL search order hijacking, side-loading, or execution of malicious payloads staged in temporary folders. Adversaries frequently leverage these directories because they are writable by standard users and often overlooked by security controls, making them convenient locations to drop and execute malicious files. This behavior may indicate attempts to evade detection, execute unauthorized code, or maintain persistence through hijacked execution flows. Detection of DLL loads from %TEMP% can help surface early signs of compromise and should be investigated in the context of the originating process, user account, and potential file creation or modification activity within the same directory.

References:
  - https://www.cisa.gov/news-events/cybersecurity-advisories/aa25-203a
  - https://blog.sekoia.io/interlock-ransomware-evolving-under-the-radar/