Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,581 detections
Filters
Last updated
All Time
Detection languages
729
235
193
112
98
Contributors
323
311
275
169
73
Categories
20,456
11,839
5,876
5,155
4,865
1,581
Platforms
1,042
289
181
159
111
Products / Services
497
264
238
141
128
MITRE Techniques
852
757
502
416
312
CVEs
5
3
3
3
2
IDS Classtypes
211
4
3
3
2
IDS Protocols
219
7
3
1
1
This rule detects various malicious indicators including known file hashes, IP addresses, domains, and specific URLs associated with threat activity. It consolidates hits from process, file, and network telemetry to alert on potential compromise or communication with identified command-and-control (C2) infrastructure.
This rule detects various malicious indicators including known file hashes, IP addresses, domains, and specific URLs associated with threat activity. It consolidates hits from process, file, and network telemetry to alert on potential compromise or communication with identified command-and-control (C2) infrastructure.
This rule detects potential malicious activity where a file (in this case, a PDF) is downloaded using curl via conhost, followed shortly by a PowerShell command that searches the file for a specific marker ("cAB") and decodes/executes embedded Base64 content. This pattern aligns with known TTPs observed in Star Blizzard (COLDRIVER) campaigns.
This rule detects various malicious indicators including known file hashes, IP addresses, domains, and specific URLs associated with threat activity. It consolidates hits from process, file, and network telemetry to alert on potential compromise or communication with identified command-and-control (C2) infrastructure.
Detects instances where the 'curl' utility is used to download files while simultaneously piping the output directly into a shell interpreter (bash/sh) or using download flags ('-o', '-O') in a way that suggests staging or immediate execution of remote scripts, often associated with force-flag bypass patterns.
Detects the download of a dataset from an unapproved source that lacks hash verification, followed shortly by the launch of a model training process on the same host. This behavior is indicative of potential supply chain compromise or poisoning of the training data used in machine learning workflows.
This rule correlates web clicks on Google Sites URLs containing keywords related to GlobalProtect with the subsequent creation or renaming of an unsigned or improperly signed GlobalProtect.msi file on the same endpoint within a 30-minute window. This behavior is indicative of a spearphishing attempt using a masqueraded landing page to deliver malicious or unauthorized software.
This rule detects installation of known malicious npm packages associated with the PhantomSub campaign, which abuse WhatsApp spam channels. It also identifies network connections to known remote C2 channel-list URLs or domains used by these packages to automate channel joining.
This rule detects installation of known malicious npm packages associated with the PhantomSub campaign, which abuse WhatsApp spam channels. It also identifies network connections to known remote C2 channel-list URLs or domains used by these packages to automate channel joining.
This rule detects installation of known malicious npm packages associated with the PhantomSub campaign, which abuse WhatsApp spam channels. It also identifies network connections to known remote C2 channel-list URLs or domains used by these packages to automate channel joining.
This rule detects installation of known malicious npm packages associated with the PhantomSub campaign, which abuse WhatsApp spam channels. It also identifies network connections to known remote C2 channel-list URLs or domains used by these packages to automate channel joining.
Detects potential insider threats or departing employees by correlating abnormal bulk data downloads from cloud repositories (SharePoint/OneDrive/Box/etc.) with subsequent sensitive data access and exfiltration signals. It uses baseline behavioral profiling, requires a threshold of sensitive file interactions, and mandates high-confidence exfiltration indicators (removable media usage, suspicious external domains, or multiple combined destination events) to reduce noise. Archive/staging activity is used as an optional confidence booster.
Detects potential insider threats or departing employees by correlating abnormal bulk data downloads from cloud repositories (SharePoint/OneDrive/Box/etc.) with subsequent sensitive data access and exfiltration signals. It uses baseline behavioral profiling, requires a threshold of sensitive file interactions, and mandates high-confidence exfiltration indicators (removable media usage, suspicious external domains, or multiple combined destination events) to reduce noise. Archive/staging activity is used as an optional confidence booster.
Detects a suspected ClickFix infection sequence associated with Psychedelic Stealer. The rule identifies a user navigating to known malicious lure pages (often mimicking Cloudflare CAPTCHAs) followed shortly by the Windows Run dialog (explorer.exe) initiating msiexec.exe to execute a remote MSI file.
Detects outbound HTTP GET requests for common AI model file formats (.pkl, .pt, .bin) from non-authorized or untrusted external domains. This activity is indicative of downloading potentially malicious pre-trained AI models, which can execute arbitrary code during the unpickling process (Supply Chain Compromise).
This rule detects potential malicious activity where a non-browser process downloads a specific payload file from a suspicious domain ('easyllms.xyz') and is subsequently linked to process activity involving the discovery of system or user information (e.g., GetComputerNameA, GetUserNameA). This pattern is characteristic of a dropper or stage-one malware attempting to profile the compromised host.
Detects potential command and control (C2) activity associated with the BotHelper malware. The rule correlates a process downloading files or DLL plugins from specific C2 URL paths ('/uploads/Files/' or '/uploads/Plugins/') with a subsequent report of task execution status ('task_run.php' or 'task_failed.php') originating from the same process within a 10-minute window.
This rule identifies potential infections associated with the MacSync malware family by matching process, file, and network indicators (hashes, malicious domains, and specific payload URLs) against endpoint telemetry. It monitors for execution of known malicious binaries, file creation events, and communication with identified command-and-control infrastructure.
This rule detects suspicious PowerShell command-line activity that uses '-ExecutionPolicy Bypass' in conjunction with network-fetching cmdlets like 'Invoke-RestMethod' or 'irm' to download files to a temporary directory, followed by potential script execution. This pattern is commonly used by adversaries for stage-1 payload delivery and fileless execution.
Detects msiexec.exe initiating network connections to or executing packages from endpoints containing 'capher.php' and token parameters. This behavior is associated with the 'ClickFix' delivery chain, where adversaries use malicious websites or scripts to trick users into downloading and executing installer files.
This rule monitors for indicators of compromise (IOCs) associated with known malware and C2 infrastructure, including specific IP:port combinations, malicious domains, URLs for file downloads, and SHA256 hashes of known malware. The rule correlates data across device network events, file events, and process execution events to identify potential infections or communication with malicious infrastructure.
Page 8 of 76