Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
536 detections
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This rule detects potential ransomware activity by correlating three distinct events: the execution of a suspicious, potentially obfuscated binary (matching a specific naming pattern of _win64.exe) from an untrusted location (e.g., Temp, AppData, Downloads), followed by a high volume of file modifications or renames with specific ransomware-related extensions (.locked), and the dropping of a known ransom note file (RESTORE_FILES.txt) within a short 15-minute time window.
Detects the execution of suspicious binaries that are spawned by known torrent clients or appear to masquerade as media files (e.g., using movie quality naming conventions like 1080p, Bluray). This rule identifies potential delivery of malicious payloads via P2P file sharing environments by looking for specific process patterns and filename indicators associated with file masquerading.
This rule detects network connections or process command lines associated with known malicious domains, IP addresses, or payload URLs. Additionally, it correlates connections to common public file-sharing platforms or APIs (e.g., Gofile, Telegram) if these events occur on the same device within a 60-minute window of a confirmed malicious infrastructure event, reducing false positives from legitimate uses of shared infrastructure.
This rule detects activity associated with the 'Ghostcode' threat campaign by monitoring multiple telemetry sources. It identifies connections to known malicious IP addresses and domains, patterns consistent with phishing kit hosting, and specific URL structures used in credential harvesting or payload delivery. The rule correlates sign-in logs, device network events, DNS queries, and email telemetry to identify potential compromise.
This rule detects network connections or process command lines associated with known malicious domains, IP addresses, or payload URLs. Additionally, it correlates connections to common public file-sharing platforms or APIs (e.g., Gofile, Telegram) if these events occur on the same device within a 60-minute window of a confirmed malicious infrastructure event, reducing false positives from legitimate uses of shared infrastructure.
This rule monitors for indicators of compromise (IOCs) associated with a specific AutoIT-based malware delivery chain. It tracks the execution and presence of specific malicious file names and SHA256 hashes, as well as network connections to a identified command-and-control (C2) infrastructure IP address (158.51.122.136). The detection spans file creation, process execution, image loading, and network communication events to identify the multi-stage attack lifecycle.
This rule monitors for indicators of compromise (IOCs) associated with a specific AutoIT-based malware delivery chain. It tracks the execution and presence of specific malicious file names and SHA256 hashes, as well as network connections to a identified command-and-control (C2) infrastructure IP address (158.51.122.136). The detection spans file creation, process execution, image loading, and network communication events to identify the multi-stage attack lifecycle.
This KQL detects potential social engineering and vishing activity in Microsoft Teams over the last 30 days.
Detects the execution of the Windows Character Map utility (charmap.exe) when launched from a user-writable Temp directory by a non-standard parent process. This pattern is commonly associated with malware, such as AsyncRAT, attempting to leverage legitimate system tools to evade detection or facilitate malicious chains.
This rule detects network connections or process command lines associated with known malicious domains, IP addresses, or payload URLs. Additionally, it correlates connections to common public file-sharing platforms or APIs (e.g., Gofile, Telegram) if these events occur on the same device within a 60-minute window of a confirmed malicious infrastructure event, reducing false positives from legitimate uses of shared infrastructure.
This rule detects network connections or process command lines associated with known malicious domains, IP addresses, or payload URLs. Additionally, it correlates connections to common public file-sharing platforms or APIs (e.g., Gofile, Telegram) if these events occur on the same device within a 60-minute window of a confirmed malicious infrastructure event, reducing false positives from legitimate uses of shared infrastructure.
This rule detects the execution of processes or network connections that impersonate 'WhatsApp' or 'Instagram' companion applications. It identifies specific file names and process command lines that mimic these applications, often associated with browser-launched or malicious payloads, and monitors for associated network traffic directed toward suspicious endpoints like herokuapp domains.
Detects the execution of processes named 'ProManager.exe' or 'ProManagerServicedc894.exe', which may be indicative of unauthorized software or potentially malicious activity.
Detects Microsoft Teams chat and message events originating from unverified or external tenants that attempt to impersonate internal IT helpdesk personas. This activity is often part of a multi-stage social engineering campaign, potentially following email bombing, where attackers aim to trick users into executing malicious files or installing remote access tools.
This rule detects network connections or process command lines associated with known malicious domains, IP addresses, or payload URLs. Additionally, it correlates connections to common public file-sharing platforms or APIs (e.g., Gofile, Telegram) if these events occur on the same device within a 60-minute window of a confirmed malicious infrastructure event, reducing false positives from legitimate uses of shared infrastructure.
This rule monitors for email events where the email is flagged for suspicious properties (SPF/DKIM/DMARC failure, threat categorization) and includes potentially malicious attachments or URLs. It then correlates these suspicious emails with subsequent process execution events on the recipient's endpoint within a 30-minute window, identifying a potential successful execution of a phishing payload.
This rule detects potential phishing activity by correlating email delivery of Excel attachments with subsequent network connections to known malicious domains initiated by common browser or office processes. It identifies cases where a user may have opened a suspicious Excel file and initiated an outbound network request to a flagged domain within 24 hours of receiving the email.
This rule monitors for indicators of compromise (IOCs) associated with a specific AutoIT-based malware delivery chain. It tracks the execution and presence of specific malicious file names and SHA256 hashes, as well as network connections to a identified command-and-control (C2) infrastructure IP address (158.51.122.136). The detection spans file creation, process execution, image loading, and network communication events to identify the multi-stage attack lifecycle.
This rule monitors for indicators of compromise (IOCs) associated with a specific AutoIT-based malware delivery chain. It tracks the execution and presence of specific malicious file names and SHA256 hashes, as well as network connections to a identified command-and-control (C2) infrastructure IP address (158.51.122.136). The detection spans file creation, process execution, image loading, and network communication events to identify the multi-stage attack lifecycle.
This rule monitors for process creation or file interaction events associated with a specific SHA256 file hash identified as malicious. It uses Microsoft Defender for Endpoint (MDE) logs to correlate both process execution and file activity related to this indicator of compromise.
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.
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