Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,087 detections
Filters
Last updated
All Time
Detection languages
937
671
245
95
67
Contributors
798
791
99
59
31
Categories
1,168
1,065
225
210
171
Platforms
1,856
493
300
26
12
Products / Services
10,683
9,759
6,695
4,421
3,750
2,087
MITRE Techniques
760
704
336
308
240
CVEs
8
7
6
6
6
IDS Protocols
1
Detects two distinct suspicious patterns: first, the deletion of executable files residing in common user-writable temporary directories (e.g., Temp, Downloads, AppData) using command-line tools like 'del' or 'erase', which is often indicative of anti-forensic activity after malware execution. Second, it monitors for network traffic involving HTTP POST requests or specific SOAP headers related to 'tempuri.org', which are commonly associated with default .NET WCF service scaffolding and may be used by adversaries for C2 communication or exfiltration.
Detects instances where a user account associated with a detected infostealer malware infection (e.g., Redline, Raccoon, Vidar) successfully authenticates to a cloud service from a suspicious network location, such as a VPN, residential proxy, or Tor exit node, within 24 hours of the infection alert.
Detects the execution of known Windows 'Living-off-the-Land' binaries (rundll32.exe, regsvr32.exe, mshta.exe) when they originate from web browsers or office productivity applications, or when they are executed with command-line arguments indicative of network resource loading, remote scripting, or code execution bypasses.
Detects the use of cloud synchronization utilities such as rclone (including renamed binaries) or Mega command-line tools to interact with cloud storage services. The rule correlates this execution with preceding mass file enumeration or access activity on the same host, which is a common pattern in ransomware double-extortion scenarios.
Detects a volumetric spike in RPC connection attempts (specifically port 135 followed by Netlogon binding) from a single host to a Domain Controller. This behavior is indicative of the exploit retry mechanism used by Zerologon (CVE-2020-1472) tools, which must attempt the authentication sequence thousands of times due to the low success probability of the all-zero byte ClientCredential.
This rule detects the execution or presence of specific Go or Terraform modules known to be malicious or associated with suspicious dependency retrieval. It monitors command-line activity from terraform.exe/go.exe attempting to download/run from these paths, as well as file system events involving these specific folder paths and filenames.
High-fidelity correlation of OS-DET-LNX-005 and OS-DET-LNX-006: a system shell copied to a
non-standard/writable path, followed within 15 minutes on the same host by execution of a
shell with the privilege-preserving -p flag from a non-standard path. The two events
together are a near-certain SUID-root shell misconfiguration abuse (bash -p to root) and a
lower-FP signal than either component alone. Detection logic adapted from Elastic Security Labs.
non-standard/writable path, followed within 15 minutes on the same host by execution of a
shell with the privilege-preserving -p flag from a non-standard path. The two events
together are a near-certain SUID-root shell misconfiguration abuse (bash -p to root) and a
lower-FP signal than either component alone. Detection logic adapted from Elastic Security Labs.
This rule detects the installation or execution of common Remote Monitoring and Management (RMM) tools (e.g., AnyDesk, ScreenConnect, Atera, Splashtop, TeamViewer) on Windows endpoints within a 4-hour window of associated cloud identity risk activity (such as risky sign-ins, MFA changes, or privilege grants). It filters out legitimate activity initiated via standard software management pipelines (e.g., SCCM, Intune) to identify potential unauthorized use of remote access software by adversaries following account compromise.
Detects instances where a process that is not a recognized web browser (chrome, msedge, firefox, brave, opera, or explorer) accesses multiple unique browser cookie files. This is a common pattern for credential harvesting malware attempting to steal browser sessions.
This rule detects potential session hijacking by correlating endpoint-based detections of known infostealer malware (e.g., Vidar, Lumma, Redline) with a subsequent cloud Identity Provider (IdP) login for the same user. The correlation specifically focuses on instances where the IdP authentication originates from an IP address different from the infected host, suggesting the use of stolen session cookies by an external actor to access corporate resources.
The following analytic identifies the first-time execution of child processes spawned by Zoom (zoom.exe or zoom.us). It leverages Endpoint Detection and Response (EDR) data, specifically monitoring process creation events and comparing them against previously seen child processes. This activity is significant because the execution of unfamiliar child processes by Zoom could indicate malicious exploitation or misuse of the application. If confirmed malicious, this could lead to unauthorized code execution, data exfiltration, or further compromise of the endpoint.
The following analytic detects the execution of multiple offensive toolkits and commands through the process execution datamodel. This method captures commands given directly to powershell.exe, allowing for the identification of suspicious activities including several well-known tools used for credential theft, lateral movement, and persistence. If confirmed malicious, this could lead to unauthorized access, privilege escalation, and potential compromise of sensitive information within the environment.
Detects the suspicious execution of common Windows system binaries (LOLBAS) often used for proxying malicious code execution or deobfuscating payloads. This includes regsvr32.exe for remote scriptlet execution, mshta.exe for remote HTA execution, rundll32.exe for JavaScript or DLL function execution, and certutil.exe for decoding or retrieving remote files.
Detects potential C2 beaconing activity by identifying repeated network connections to the same external host that exhibit consistent payload sizes (low variance) and frequency, or by flagging HTTP requests containing default URI patterns associated with Cobalt Strike profiles.
IOC hunt across DNS, network, and file-hash telemetry for the Ledger Google Ads phishing campaign. Vercel redirect domains are matched by exact hostname (DNS query name / parsed URL host) rather than substring, eliminating false positives from unrelated strings that merely contain a look-alike domain fragment. GCS bucket and Google Sites path IOCs remain substring-matched since the bucket IDs and page slugs are already highly specific.
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.
Detects suspicious command line patterns on macOS where base64 encoded strings are decoded and piped directly into a shell interpreter (bash/zsh/sh). This pattern is commonly used by adversaries to execute obfuscated payloads or scripts directly in memory.
IOC hunt across DNS, network, and file-hash telemetry for the Ledger Google Ads phishing campaign. Vercel redirect domains are matched by exact hostname (DNS query name / parsed URL host) rather than substring, eliminating false positives from unrelated strings that merely contain a look-alike domain fragment. GCS bucket and Google Sites path IOCs remain substring-matched since the bucket IDs and page slugs are already highly specific.
Detects usage of Crowdstrike Real Time Response (RTR) to execute a "runscript" command.
This can be used by malicious actors with access to the Crowdstrike Dashboard to execute commands on remote managed hosts.
This can be used by malicious actors with access to the Crowdstrike Dashboard to execute commands on remote managed hosts.
This rule detects instances where the WMI Provider Host process (wmiprvse.exe) initiates a child process. While WMI is a legitimate administrative tool, it is frequently abused by attackers for lateral movement, remote code execution, and persistent event subscriptions. Monitoring for child processes spawned by wmiprvse.exe can highlight potentially malicious activity triggered via WMI.
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.
Page 11 of 100


