Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,045 detections
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Detects a multi-stage browser-based web skimming attack. The rule identifies a specific sequence of network activity: a device fetching an obfuscated loader script from 'paste.sh', followed by retrieving payload fragments from the 'Google Sheets Visualization API', and concluding with network interactions with crypto-transaction services 'SwapZone.io' or 'SimpleSwap.io', characteristic of a browser-based wallet-drainer campaign.
This rule detects activities related to Tampermonkey (a popular browser extension for userscripts) or interactions with paste.sh, often used for hosting scripts or payloads. The rule monitors both process-level executions and network requests for these indicators, which may be associated with malicious script execution or browser-based credential or session theft.
This rule monitors for a multi-stage attack pattern involving two potential indicators: first, it identifies phishing emails containing a 'Google Docs' link combined with an attachment named 'API Logic Flaw'. Second, it detects browser activity involving the paste of JavaScript code or suspicious browser clipboard activity, which may indicate an attacker attempting to execute malicious scripts directly in the user's browser context.
Detects execution of 'BrowserCore.exe' when the initiating (parent) process is not a recognized web browser (msedge.exe, chrome.exe, or firefox.exe). This rule flags potential process masquerading or misuse of the BrowserCore utility, particularly when spawned by command interpreters or the Task Scheduler.
Detects the loading or usage of the malicious driver 'DCRCVDrv.sys' associated with the ClearFake crypto stealer campaign, which uses a Bring-Your-Own-Vulnerable-Driver (BYOVD) technique to interact with the device path '\Device\DCRCVDRV_U' to terminate or impair EDR and security tools.
This rule detects the use of package managers like 'pip' or 'npm' to install specific suspicious software packages or tools often associated with supply chain compromise or malicious library installation (e.g., 'huggingface-cli', 'unused-imports', 'react-codeshift').
Detects the execution of package managers (pip or npm) to install software dependencies initiated by development or agent-related processes (like IDEs or background services) in a non-interactive session. This behavior can be indicative of automated dependency confusion attacks, malicious supply chain activity, or unauthorized package installation occurring without direct user oversight.
Detects the execution of package managers (pip or npm) to install software dependencies initiated by development or agent-related processes (like IDEs or background services) in a non-interactive session. This behavior can be indicative of automated dependency confusion attacks, malicious supply chain activity, or unauthorized package installation occurring without direct user oversight.
This rule detects the use of package managers like 'pip' or 'npm' to install specific suspicious software packages or tools often associated with supply chain compromise or malicious library installation (e.g., 'huggingface-cli', 'unused-imports', 'react-codeshift').
Detects the execution of package managers (pip or npm) to install software dependencies initiated by development or agent-related processes (like IDEs or background services) in a non-interactive session. This behavior can be indicative of automated dependency confusion attacks, malicious supply chain activity, or unauthorized package installation occurring without direct user oversight.
Detects package manager processes (npm, pip, python) executing install-related commands followed by the creation or modification of sensitive files (SSH keys, cloud credentials, shell configurations) within a short timeframe. This behavior is indicative of potential supply chain attacks where a malicious package attempts to steal credentials or secrets upon installation.
Detects package manager processes (npm, pip, python) executing install-related commands followed by the creation or modification of sensitive files (SSH keys, cloud credentials, shell configurations) within a short timeframe. This behavior is indicative of potential supply chain attacks where a malicious package attempts to steal credentials or secrets upon installation.
Detects package manager processes (npm, pip, python) executing install-related commands followed by the creation or modification of sensitive files (SSH keys, cloud credentials, shell configurations) within a short timeframe. This behavior is indicative of potential supply chain attacks where a malicious package attempts to steal credentials or secrets upon installation.
Detects package manager processes (npm, pip, python) executing install-related commands followed by the creation or modification of sensitive files (SSH keys, cloud credentials, shell configurations) within a short timeframe. This behavior is indicative of potential supply chain attacks where a malicious package attempts to steal credentials or secrets upon installation.
Detects the installation of software packages in build or CI pipelines where the package was published to its registry between 30 and 90 days prior to being first used in the environment. This pattern is indicative of potential dependency confusion or typosquatting attacks, where adversaries use newly created packages to deliver malicious code.
Detects the installation of software packages in build or CI pipelines where the package was published to its registry between 30 and 90 days prior to being first used in the environment. This pattern is indicative of potential dependency confusion or typosquatting attacks, where adversaries use newly created packages to deliver malicious code.
The following analytic detects .cab files being written to disk.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on events where the file name is '*.cab' and the action is 'write'.
This activity can be significant as .cab files can be used to deliver malicious payloads, including embedded .url files that execute harmful code.
If confirmed malicious, this behavior could lead to unauthorized code execution and potential system compromise.
Analysts should review the file path and associated artifacts for further investigation.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on events where the file name is '*.cab' and the action is 'write'.
This activity can be significant as .cab files can be used to deliver malicious payloads, including embedded .url files that execute harmful code.
If confirmed malicious, this behavior could lead to unauthorized code execution and potential system compromise.
Analysts should review the file path and associated artifacts for further investigation.
This rule detects unauthorized modification of the desktop wallpaper registry key to an empty string, typically used for desktop defacement or disruptive activity, followed by a system parameter refresh to apply the changes immediately. It monitors for the use of reg.exe to clear the wallpaper registry value and rundll32.exe to invoke the User32.dll UpdatePerUserSystemParameters function, which forces the Windows shell to refresh desktop settings.
This rule identifies devices in the environment that are running software identified as vulnerable to CVE-2026-62890. It aggregates the affected device names along with the associated software names, versions, and vulnerability severity levels.
Detects the execution of known potentially malicious tools cplsupport.exe and wtass.exe with install parameters, or the creation of a Windows service associated with these filenames using sc.exe. This activity is indicative of service-based persistence or malicious software installation.
Detects file creation, modification, or renaming in System32 by TieringEngineService.exe or MsMpEng.exe within a short time frame.
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