Detections

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

40,057 detections

Detects NTLM network logons (LogonType 3 or 9) which often result from a host resolving an attacker-supplied UNC path (e.g., \host esource) during forced authentication attacks. This rule monitors Windows Security Event ID 4624 to identify incoming NTLM-based network authentication requests, excluding local system logons.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
Detects the use of reg.exe or PowerShell to modify the WSL InstallLocation registry key via command-line arguments.
Legitimate modifications to this key are performed exclusively by the Windows Installer (msiexec.exe) during WSL package installation or update.
Manual use of reg.exe or PowerShell to set this value strongly indicates an attempt to redirect WSL execution to a malicious binary.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 month ago
001
Detects the execution of the 'gitshot' binary, which is known to automatically create public repositories and release tags to host screenshots or screen recordings. This behavior can be abused by insiders or attackers to exfiltrate sensitive data outside of corporate control.
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Arnold Chan@slaz
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Hunters
1 month ago
002
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
002
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
Detects the creation, modification, or renaming of common JSP web shell filenames (x.jsp, u.jsp, u2.jsp) within known web application directories (e.g., webapps, Peoplesoft, WebLogic). This pattern is indicative of an adversary attempting to establish a web shell for persistent access or command execution on a vulnerable web server.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
405
Detects execution of MeshAgent binaries when initiated by common scripting or application processes (e.g., java, sh, bash, python) or when displaying suspicious command-line patterns indicative of unauthorized remote access or download activity, particularly in environments like WebLogic or PeopleSoft.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
705
This rule performs an indicator of compromise (IOC) hunt for artifacts related to the Lazarus Group's Graphalgo/GHAPPIER campaign. It monitors DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents over the past 90 days to identify matches against known malicious file hashes (SHA256/SHA1), command-and-control (C2) IP addresses, and malicious domains associated with this campaign.
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Arnold Chan@slaz
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Hunters
1 month ago
004
This rule performs an indicator of compromise (IOC) hunt for artifacts related to the Lazarus Group's Graphalgo/GHAPPIER campaign. It monitors DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents over the past 90 days to identify matches against known malicious file hashes (SHA256/SHA1), command-and-control (C2) IP addresses, and malicious domains associated with this campaign.
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Arnold Chan@slaz
Defender - KQL
1 month ago
004
This rule performs an indicator of compromise (IOC) hunt for artifacts related to the Lazarus Group's Graphalgo/GHAPPIER campaign. It monitors DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents over the past 90 days to identify matches against known malicious file hashes (SHA256/SHA1), command-and-control (C2) IP addresses, and malicious domains associated with this campaign.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
104
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
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Arnold Chan@slaz
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Hunters
1 month ago
202
Detects activity associated with the MALFEX npm supply-chain campaign (also known as Overlord/movinlike). This rule performs a sweep for known malicious file hashes, suspicious process command lines, outbound network connections to malicious domains or IPs, and email communications from identified adversary-controlled accounts.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
102
This rule detects the execution of common tools and commands used to perform Kerberoasting, a technique where attackers request Kerberos service tickets for user accounts with Service Principal Names (SPNs) in order to perform offline brute-force attacks to recover plaintext credentials. The rule specifically monitors process creation events for known offensive security tools like Rubeus, as well as specific command-line arguments for 'setspn.exe' and various scripts that can be used to identify potential Kerberoasting targets.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects the use of legitimate Windows binaries (certutil.exe and bitsadmin.exe) to download files from remote URLs or perform encoding/decoding operations in suspicious directories (Temp, AppData). This activity is commonly used by adversaries for stage-one malware delivery or tool ingress.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
102
Detects instances of rundll32.exe or regsvr32.exe executing from suspicious locations or with suspicious command-line arguments (e.g., URLs, JavaScript, or script file extensions) initiated by an unsigned process. This is a common technique used to proxy malicious code execution while evading security monitoring.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
402
This rule detects common Cobalt Strike malleable profile named pipe creation events as well as network connections initiated by common LOLBins (Living Off the Land Binaries) that are unsigned, which is a common indicator of beaconing activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
102
This rule monitors network traffic, DNS queries, and user web clicks to detect interactions with known malicious domains associated with credential harvesting and phishing campaigns, specifically those impersonating security or SSO portals.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
52178
Detects the execution of script files with .js or .se extensions using wscript.exe or cscript.exe outside of standard system directories. This behavior is consistent with the More_eggs JScript backdoor, which has been utilized by the FIN6 threat group (also known as Skeleton Spider) to establish persistent backdoors for follow-on payload delivery.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects the use of PowerShell to modify Windows Defender settings (e.g., disabling real-time monitoring, adding exclusions, or stopping services) using the Set-MpPreference cmdlet or service control commands. This technique is frequently utilized by ransomware actors, such as the ALPHV/BlackCat group, to neutralize security protections prior to executing malicious payloads.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
102
Detects the installation or execution of common Remote Monitoring and Management (RMM) tools, including AnyDesk, ScreenConnect, and TeamViewer, by monitoring process creation events. This behavior is indicative of social-engineering-based intrusions by the Scattered Spider (UNC3944/Octo Tempest) threat actor, who often impersonates IT support staff to convince users to run these tools for unauthorized remote access.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
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