Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,521 detections
Filters
Last updated
All Time
Detection languages
1,049
575
259
163
130
Contributors
536
485
323
178
133
Categories
1,256
974
852
701
406
Platforms
1,929
373
346
244
20
Products / Services
759
507
254
248
210
MITRE Techniques
18,127
15,648
12,596
8,407
6,231
2,521
CVEs
7
5
4
4
4
IDS Classtypes
201
41
5
4
1
IDS Protocols
175
38
21
9
7
Detects HTTP GET requests to external servers for files identified as 'mscopilot.exe' or '65722.txt', which are associated with the AdaptixC2 framework/malware, indicating potential payload delivery or command and control activity.
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.
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.
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.
Detects the use of PowerShell to download content from a remote URI and execute it using encoded commands or expression evaluation, a pattern commonly used by the FIN8 threat group (Syssphinx) to deploy the BADHATCH backdoor.
Detects HTTP GET requests to specific domains (microsoft-flash.com or wps-cn.com) attempting to download a file named 'flashcenter_pp_ax_install_en.exe', which is associated with malicious installer activity.
This rule detects various malicious indicators of compromise (IOCs) across multiple telemetry sources, including DNS queries, web network traffic, file executions, process creation, and email activity. It monitors for interactions with known malicious domains, URLs, file hashes, and specific sender email addresses to identify potential malware distribution or C2 activity.
This rule detects various malicious indicators of compromise (IOCs) across multiple telemetry sources, including DNS queries, web network traffic, file executions, process creation, and email activity. It monitors for interactions with known malicious domains, URLs, file hashes, and specific sender email addresses to identify potential malware distribution or C2 activity.
This rule detects various malicious indicators of compromise (IOCs) across multiple telemetry sources, including DNS queries, web network traffic, file executions, process creation, and email activity. It monitors for interactions with known malicious domains, URLs, file hashes, and specific sender email addresses to identify potential malware distribution or C2 activity.
This rule detects various malicious indicators of compromise (IOCs) across multiple telemetry sources, including DNS queries, web network traffic, file executions, process creation, and email activity. It monitors for interactions with known malicious domains, URLs, file hashes, and specific sender email addresses to identify potential malware distribution or C2 activity.
Detects instances where a Claude process accesses a 'SKILL.md' file, followed closely by a suspicious command execution on the same device. The rule specifically targets command-line activity that involves encoding, download-and-execute patterns, staging in sensitive directories, or communication with suspicious domains/IPs, which is indicative of a supply-chain or poisoned agent-skill file attack.
This rule monitors for network communication with a specific known malicious IP address and URL path, as well as the execution or presence of associated malicious file hashes. Additionally, it flags emails involving specific indicators identified as potentially associated with malicious activity.
This rule detects network communication with known malicious infrastructure (C2 IPs and URLs), presence of malicious files identified by SHA256 hashes on disk, and execution of known malicious files. It also correlates these activities with specific operator email addresses involved in the malicious campaign.
Detects node.exe processes initiating network connections to specific C2-related URI patterns commonly associated with ChainScript-style remote script loading. This behavior indicates an agent process retrieving attacker-supplied JavaScript code for execution via vm.runInNewContext, or establishing unauthorized C2 communication channels.
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.
This rule detects potential persistence via scheduled tasks that masquerade as legitimate network components (e.g., 'System Health Monitor'), as well as abnormal use of WebDav via rundll32.exe or net.exe in the context of the Star Blizzard (COLDRIVER) campaign. It monitors for task creation/updates, schtasks command lines, registry artifacts related to task scheduling, and suspicious WebDav network utility usage, while excluding common security tool processes.
This rule detects potential post-compromise activity related to a campaign using MSP360-masqueraded installers and ScreenConnect remote access tools. It performs an IOC sweep across device file events for known malicious file hashes (associated with installers and post-compromise utilities) and device network events for connections to known malicious domains used for command and control.
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.
This rule monitors for network communication with known malicious infrastructure (IPs/domains) and the execution of specific suspicious file names. It correlates device network events, file system activity, and process execution, specifically flagging attempts to execute MSI installers or other binaries associated with the identified threat indicators.
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.
Page 11 of 121