Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the execution of HTSPnew.Exe with specific command-line arguments indicative of KRSID ransomware operations, such as configuration flags for paths, batch processing, and dry-run modes. The use of these flags with this specific executable name is a strong indicator of malicious activity.
Detects the creation of files with the name 'README_KRSID.Txt', which is a hallmark behavior of the KRSID ransomware strain used to leave ransom notes on compromised systems.
Detects a sequence of suspicious activities associated with credential dumping and inhibiting system recovery. The rule tracks when a user account executes multiple commands related to volume shadow copies (vssadmin, rmdir, mklink) or attempts to copy sensitive registry files (SAM, SYSTEM, SECURITY) within a 15-minute window on the same device.
Detects the presence of KRSID ransomware by identifying specific embedded strings associated with its configuration, including ransom notes (README_KRSID.Txt), log files (ransomware-silent.Log), encrypted file extensions (.krsid), and common command-line arguments used for operational control.
Detects behavior indicative of KRSID ransomware, characterized by mass file renaming to the .krsid extension and the creation of a 'ransomware-silent.Log' file. The detection specifically correlates this activity with the absence of vssadmin shadow copy deletion commands, which is an atypical behavior for most ransomware families, thereby serving as a distinguishing heuristic.
This rule detects potential Business Email Compromise (BEC) attempts where external senders impersonate corporate executives (e.g., CEO, CFO) by spoofing display names or using lookalike/cousin domains. It triggers when these impersonations are combined with urgent, financial-themed language in the email subject line (e.g., wire transfers, payroll changes, or gift card requests).
Detects unauthorized write or modification operations against machine learning training data, feature stores, and model registries. The rule identifies suspicious activity by flagging actions occurring outside established change windows, attempts by identities with no prior history of modifying the resource, or bulk data modifications that could indicate training data poisoning or model tampering.
This rule detects network connections to known cryptomining pool IP addresses and domain names, as well as file or process executions matching specific hashes associated with known miner samples. It monitors for communication to command-and-control (C2) servers potentially used for cryptomining operations.
Detects sensitive cPanel/WHM administrative commands or system file modifications occurring within one hour of a suspected authentication bypass event, indicative of potential post-exploitation activity related to CVE-2026-41940.
Detects sensitive cPanel/WHM administrative commands or system file modifications occurring within one hour of a suspected authentication bypass event, indicative of potential post-exploitation activity related to CVE-2026-41940.
Detects unauthorized processes reading sensitive Chromium-based browser files (e.g., Cookies, Login Data) immediately following the termination of a browser process. This behavior is indicative of credential harvesting malware, such as RevStealer, which terminates the browser to release file locks before exfiltrating the databases.
This rule detects modifications to GitHub Actions workflow configuration files (.yml or .yaml) located in the .github/workflows/ directory. Such modifications may indicate unauthorized tampering with CI/CD pipelines to facilitate persistent execution, credential theft, or supply chain attacks.
Detects rapid, large-scale deletion of Azure storage accounts by a single identity within a short timeframe. This behavior is indicative of destructive activity, such as a malicious actor attempting to disrupt service availability or impact organizational data, rather than typical administrative teardown.
Detects rapid, large-scale deletion of Azure storage accounts by a single identity within a short timeframe. This behavior is indicative of destructive activity, such as a malicious actor attempting to disrupt service availability or impact organizational data, rather than typical administrative teardown.
Detects rapid, large-scale deletion of Azure storage accounts by a single identity within a short timeframe. This behavior is indicative of destructive activity, such as a malicious actor attempting to disrupt service availability or impact organizational data, rather than typical administrative teardown.
Detects a service principal attempting to delete multiple Azure SQL databases in a short timeframe, resulting in failures. This pattern is characteristic of malicious data destruction activity, such as that observed in Storm-3168 (JADEPUFFER) campaigns, but accounts for the possibility of misconfigured infrastructure-as-code pipelines by requiring a high volume of failed requests across distinct resources.
Detects a service principal attempting to delete multiple Azure SQL databases in a short timeframe, resulting in failures. This pattern is characteristic of malicious data destruction activity, such as that observed in Storm-3168 (JADEPUFFER) campaigns, but accounts for the possibility of misconfigured infrastructure-as-code pipelines by requiring a high volume of failed requests across distinct resources.
Detects a service principal attempting to delete multiple Azure SQL databases in a short timeframe, resulting in failures. This pattern is characteristic of malicious data destruction activity, such as that observed in Storm-3168 (JADEPUFFER) campaigns, but accounts for the possibility of misconfigured infrastructure-as-code pipelines by requiring a high volume of failed requests across distinct resources.
Detects attempts to delete Azure resource locks protecting Site Recovery or Backup services, followed by credential retrieval (ListKeys) within a one-hour window. This sequence pattern is a strong indicator of an adversary attempting to disable backup protection before potentially destroying data or exfiltrating keys.
Detects attempts to delete Azure resource locks protecting Site Recovery or Backup services, followed by credential retrieval (ListKeys) within a one-hour window. This sequence pattern is a strong indicator of an adversary attempting to disable backup protection before potentially destroying data or exfiltrating keys.
Detects attempts to delete Azure resource locks protecting Site Recovery or Backup services, followed by credential retrieval (ListKeys) within a one-hour window. This sequence pattern is a strong indicator of an adversary attempting to disable backup protection before potentially destroying data or exfiltrating keys.
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