Detections

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

20,483 detections

Detects rapid, multi-category system and network enumeration performed by AI-assisted development tools (e.g., Cursor, Claude, ChatGPT). The rule triggers when an AI agent process performs a comprehensive scan of the host environment, specifically covering machine/OS identity, network configuration, process listings, installed software, and access to sensitive credential files within a 10-minute window. It requires at least 5 distinct discovery categories and 6 total events to reduce noise from routine debugging. Covers T1082, T1016, T1057, T1518
avatar
Arnold Chan@slaz
avatar
Hunters
1 month ago
003
Detects the execution of obfuscated PowerShell commands (using -EncodedCommand, -WindowStyle Hidden, and -NonInteractive or -NoProfile flags) spawned by a process located within an Electron application's AppData directory. This pattern is commonly associated with malicious scripts or post-exploitation activities launched by Electron-based applications, excluding the Windows shell (explorer.exe).
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
1 month ago
105
Detects the exploitation of WinRAR CVE-2023-38831, where a maliciously crafted archive triggers WinRAR to execute a secondary payload (such as a script, LNK, or binary) from its temporary extraction directories (Rar$EXa, Rar$DIa, Rar$SR). This behavior is characteristic of adversaries using WinRAR as an initial access vector to bypass security controls.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
1 month ago
1105
Detects a trojanized Electron application performing anti-sandbox environment checks by querying GPU hardware information via WMI or PowerShell CIM cmdlets. This activity is characterized by the presence of the PYTHONUTF8 environment variable and is identified as a precursor step to attempting Microsoft Defender exclusions and launching a malicious payload.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
1 month ago
005
This rule performs a sweep across device file and process events to identify the execution or presence of files matching a curated list of 161 SHA256 hashes associated with twelve known malicious threat actors and families (Lynx, ANUBIS, Rhysida, LockBit, ALPHV/BlackCat, Qilin, Medusa, The Gentlemen, NetRunner, Genesis, Pay2Key, and Handala). The rule filters out events occurring in known EDR/AV quarantine or sandbox directory structures and dedupes hits on a per-device and per-hash basis within 24-hour windows to reduce alert noise.
avatar
Arnold Chan@slaz
avatar
Detection & Hunting Community
1 month ago
000
This rule performs a sweep across device file and process events to identify the execution or presence of files matching a curated list of 161 SHA256 hashes associated with twelve known malicious threat actors and families (Lynx, ANUBIS, Rhysida, LockBit, ALPHV/BlackCat, Qilin, Medusa, The Gentlemen, NetRunner, Genesis, Pay2Key, and Handala). The rule filters out events occurring in known EDR/AV quarantine or sandbox directory structures and dedupes hits on a per-device and per-hash basis within 24-hour windows to reduce alert noise.
avatar
Arnold Chan@slaz
avatar
Hunters
1 month ago
000
This rule monitors for the execution of an executable file (.exe) from a user's 'Downloads' directory followed shortly (within 5 minutes) by a network connection to port 4321, which is characteristic of the Bear C2 HTTPS-AES beacon pattern. This behavior is indicative of a potential secondary stage malware execution or C2 check-in after an initial user-driven download.
avatar
Ankit Mehta@Secvyn
avatar
SlimKQL
1 month ago
001
This rule detects the execution of a file with an .exe extension from the user's Downloads directory that has been previously tagged with the Mark-of-the-Web (MOTW) Zone.Identifier. It correlates file creation events, the application of the MOTW alternate data stream, and subsequent process execution to identify potentially malicious downloaded executables.
avatar
Ankit Mehta@Secvyn
avatar
SlimKQL
1 month ago
001
This rule monitors for the execution of an executable file (.exe) from a user's 'Downloads' directory followed shortly (within 5 minutes) by a network connection to port 4321, which is characteristic of the Bear C2 HTTPS-AES beacon pattern. This behavior is indicative of a potential secondary stage malware execution or C2 check-in after an initial user-driven download.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
1 month ago
001
Detects a suspicious sequence of events where a remote access tool (RAT) is installed on a device, followed by significantly elevated and anomalous database query activity performed by the same account over an extended period. The rule utilizes a baseline window to identify deviations from normal query volumes while excluding known service accounts and administrative ETL/BI tasks.
avatar
Arnold Chan@slaz
avatar
Detection & Hunting Community
1 month ago
000
Detects a suspicious sequence of events where a remote access tool (RAT) is installed on a device, followed by significantly elevated and anomalous database query activity performed by the same account over an extended period. The rule utilizes a baseline window to identify deviations from normal query volumes while excluding known service accounts and administrative ETL/BI tasks.
avatar
Arnold Chan@slaz
avatar
Hunters
1 month ago
000
This rule detects the execution of a file with an .exe extension from the user's Downloads directory that has been previously tagged with the Mark-of-the-Web (MOTW) Zone.Identifier. It correlates file creation events, the application of the MOTW alternate data stream, and subsequent process execution to identify potentially malicious downloaded executables.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
1 month ago
001
Detects a multi-stage attack pattern involving a non-MFA login to a Citrix portal, followed by lateral movement, and concluding with ransomware deployment behaviors such as shadow copy deletion, recovery disablement, or the dropping of ransom notes associated with ALPHV/BlackCat ransomware.
avatar
Arnold Chan@slaz
avatar
Hunters
1 month ago
000
Detects a multi-stage attack pattern involving a non-MFA login to a Citrix portal, followed by lateral movement, and concluding with ransomware deployment behaviors such as shadow copy deletion, recovery disablement, or the dropping of ransom notes associated with ALPHV/BlackCat ransomware.
avatar
Arnold Chan@slaz
avatar
Detection & Hunting Community
1 month ago
000
Detects a multi-stage attack pattern involving a non-MFA login to a Citrix portal, followed by lateral movement, and concluding with ransomware deployment behaviors such as shadow copy deletion, recovery disablement, or the dropping of ransom notes associated with ALPHV/BlackCat ransomware.
avatar
Arnold Chan@slaz
Defender - KQL
1 month ago
000
Detects a multi-stage attack pattern involving a non-MFA login to a Citrix portal, followed by lateral movement, and concluding with ransomware deployment behaviors such as shadow copy deletion, recovery disablement, or the dropping of ransom notes associated with ALPHV/BlackCat ransomware.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
1 month ago
000
This rule identifies potential activity related to the Kothamine malware by monitoring for specific file hashes associated with the malware in process and file execution events, as well as network connections to a specific malicious GitHub repository path used for payload delivery.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
1 month ago
101
This rule identifies potential activity related to the Kothamine malware by monitoring for specific file hashes associated with the malware in process and file execution events, as well as network connections to a specific malicious GitHub repository path used for payload delivery.
avatar
Arnold Chan@slaz
Defender - KQL
1 month ago
001
This rule identifies potential activity related to the Kothamine malware by monitoring for specific file hashes associated with the malware in process and file execution events, as well as network connections to a specific malicious GitHub repository path used for payload delivery.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
1 month ago
001
Detects the creation of a scheduled task intended to masquerade as 'MicrosoftEdgeUpdateTask' using either schtasks.exe or PowerShell. The rule specifically monitors for tasks being registered in AppData/Roaming directories, which is a common indicator of persistence by malicious actors attempting to mimic legitimate Microsoft Edge update processes.
avatar
Arnold Chan@slaz
avatar
Midnight Slayer
1 month ago
001
Detects the creation of a scheduled task intended to masquerade as 'MicrosoftEdgeUpdateTask' using either schtasks.exe or PowerShell. The rule specifically monitors for tasks being registered in AppData/Roaming directories, which is a common indicator of persistence by malicious actors attempting to mimic legitimate Microsoft Edge update processes.
avatar
Arnold Chan@slaz
avatar
Detection & Hunting Community
1 month ago
001
Page 86 of 976