Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
18,132 detections
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Detects an anomalous burst of git clone, fetch, or download events performed by a single GitHub user account against a large number of private repositories within a short timeframe (15-minute window). This pattern often indicates unauthorized bulk collection or exfiltration of sensitive source code by an actor using a valid account.
Detects an anomalous burst of git clone, fetch, or download events performed by a single GitHub user account against a large number of private repositories within a short timeframe (15-minute window). This pattern often indicates unauthorized bulk collection or exfiltration of sensitive source code by an actor using a valid account.
Detects an anomalous burst of git clone, fetch, or download events performed by a single GitHub user account against a large number of private repositories within a short timeframe (15-minute window). This pattern often indicates unauthorized bulk collection or exfiltration of sensitive source code by an actor using a valid account.
Detects GitHub OAuth authorization, repository cloning, or ZIP downloads from source IP addresses that have not been observed for the specific actor within the past 30 days. This rule helps identify potential account compromise or token theft where an attacker attempts to access repository data from a new location, while specifically excluding bot/service accounts known for rotating CI infrastructure IPs.
Detects GitHub OAuth authorization, repository cloning, or ZIP downloads from source IP addresses that have not been observed for the specific actor within the past 30 days. This rule helps identify potential account compromise or token theft where an attacker attempts to access repository data from a new location, while specifically excluding bot/service accounts known for rotating CI infrastructure IPs.
Detects GitHub repository actions (git.clone, oauth_authorization.create, repo.download_zip) from actor IPs not seen for that user in the prior 30 days, requiring either 3+ actions or activity across 2+ distinct repositories from the new IP within the same day. Aggregating to burst/multi-repo behavior (rather than alerting on a single new-IP event) filters out one-off false positives from travel, VPNs, or dynamic IP reassignment while still surfacing sustained anomalous access patterns consistent with account compromise or bulk exfiltration.
Detects GitHub repository actions (git.clone, oauth_authorization.create, repo.download_zip) from actor IPs not seen for that user in the prior 30 days, requiring either 3+ actions or activity across 2+ distinct repositories from the new IP within the same day. Aggregating to burst/multi-repo behavior (rather than alerting on a single new-IP event) filters out one-off false positives from travel, VPNs, or dynamic IP reassignment while still surfacing sustained anomalous access patterns consistent with account compromise or bulk exfiltration.
Detects the creation of a new user account in Nacos, followed immediately by an authentication failure and then a successful authentication, which may indicate an attacker using automated tools to create and test a backdoored administrative account.
This rule monitors endpoint telemetry (File, Process, and Network events) to identify activity associated with a pre-defined set of known malicious file hashes, IP addresses, and domains. It correlates these indicators to detect potential malware execution, persistence, or command-and-control communication on monitored devices.
This rule monitors endpoint telemetry (File, Process, and Network events) to identify activity associated with a pre-defined set of known malicious file hashes, IP addresses, and domains. It correlates these indicators to detect potential malware execution, persistence, or command-and-control communication on monitored devices.
Detects the loading of amsi.dll or clr.dll into the charmap.exe process. Adversaries often inject malicious code into legitimate, system-native processes like charmap.exe to bypass detection and perform in-memory patching of security controls, such as disabling AMSI (Antimalware Scan Interface).
Detects the creation of scheduled tasks named after Microsoft Edge updates or the execution of suspicious Wscript commands, which may indicate persistence or execution by the LxBaseRAT malware.
Detects outbound network connections initiated by charmap.exe, a standard Windows utility that does not naturally communicate over the network. This activity is highly indicative of process injection or malicious code masquerading as a system utility to facilitate credential theft or command and control communication.
Detects a potential destructive activity pattern involving the staging of a payload in a non-standard directory (utilizing a directory name with a trailing space) followed by a burst of file deletions on the same device. This behavior is indicative of a secondary destructive payload execution, often associated with disk-wiping malware.
Detects a potential destructive activity pattern involving the staging of a payload in a non-standard directory (utilizing a directory name with a trailing space) followed by a burst of file deletions on the same device. This behavior is indicative of a secondary destructive payload execution, often associated with disk-wiping malware.
Detects a potential destructive activity pattern involving the staging of a payload in a non-standard directory (utilizing a directory name with a trailing space) followed by a burst of file deletions on the same device. This behavior is indicative of a secondary destructive payload execution, often associated with disk-wiping malware.
Detects anomalous, high-volume mailbox access across multiple distinct Exchange Online mailboxes within a short timeframe (1 hour) initiated by a single user account. This behavior is indicative of automated email reconnaissance, content scraping, or bulk exfiltration, often associated with post-credential compromise activity where an attacker iterates through mailboxes to identify sensitive information such as financial or administrative data.
Detects high-volume, automated Pix transfer transactions within a short timeframe from a single source or session, which may indicate unauthorized use of a 'Pix' panel or automated financial fraud.
Detects the execution of AutoIt3 scripts using mshta.exe as the parent process from suspicious or non-standard directories such as Temp, Downloads, or AppData. This behavior is indicative of an attempt to bypass application execution policies or obfuscate malicious script execution.
Detects the execution of AutoIt3 scripts using mshta.exe as the parent process from suspicious or non-standard directories such as Temp, Downloads, or AppData. This behavior is indicative of an attempt to bypass application execution policies or obfuscate malicious script execution.
This rule detects network traffic originating from potential Casbaneiro or Ousaban malware that uses HTTP 302 redirects to redirect non-targeted IP addresses to Google or YouTube. This behavior is used as a geofencing and sandbox evasion technique to prevent security analysts and automated systems from seeing the actual malicious payload.
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