Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects behavioral patterns associated with the Everest ransomware loader, specifically the execution of a .NET host process from a non-standard parent, potentially indicating process injection, combined with network activity indicative of lateral movement or discovery, such as Wake-on-LAN packets or SMB scanning.
Detects automated reconnaissance using WMI or PowerShell to perform broad queries for system environment, security products, network adapters, software, and hardware attributes. The detection focuses on clusters of distinct WMI reconnaissance categories occurring within a 15-minute window, which is often indicative of pre-C2 profiling by adversaries.
This rule detects potentially malicious reconnaissance or enumeration activity by tracking high volumes of read-only API calls (LIST/read operations) across multiple Azure resource providers (e.g., VMs, Subscriptions, Web sites, Storage, Recovery Services) performed by a single identity within a 30-minute window.
This rule detects suspicious activity where a user account executes multiple disparate reconnaissance or discovery commands within a 30-minute window. It monitors for the execution of common Windows administration and discovery tools like dsquery, nltest, net, nslookup, and tasklist using specific, non-standard arguments indicative of network or domain reconnaissance.
Detects unauthorized processes attempting to read sensitive wallet extension storage files or desktop application wallet data folders, a behavior characteristic of the Psychedelic Stealer malware designed to harvest cryptocurrency credentials prior to exfiltration.
Detects host enumeration activities (listing processes, user information, and directory contents) performed by known legitimate binaries (e.g., poedit.exe, curl.exe, vim.exe) shortly after they have executed a suspicious sideloading event. This pattern is characteristic of the NeedyMantis actor performing initial discovery before C2 beaconing.
Detects the multi-stage Microsoft cloud identity compromise chain reported by Microsoft Security Research (September 2026): a victim completes a successful Entra ID device-code sign-in (often induced by passkey-themed device-code phishing), the same identity's authentication/security info is registered or changed (MFA/passkey persistence) within 60 minutes (deduplicated to the earliest such event per sign-in), followed within 120 minutes by a burst of at least 25 successful, delegated-context Microsoft Graph API calls (Scopes claim populated, i.e. user-delegated permissions rather than pure application/client-credential access) spanning at least 3 distinct resource paths, exhibiting reconnaissance (>=5 requests against /users, /groups, /directoryRoles, /roleManagement, /applications, /servicePrincipals, /organization) and/or collection (>=10 requests against /messages, /mailFolders, /attachments, /drive, /drives, /sites, /lists, /search) patterns. Restricting to delegated (Scopes-bearing) Graph calls and requiring resource-path breadth removes the two largest false-positive sources: service-principal/application-only automation jobs (Roles-only tokens) and single-endpoint polling tools. Pure behavioral correlation across SigninLogs, AuditLogs, and MicrosoftGraphActivityLogs - no static IOCs. Flags whether Graph activity originated from an IP different from the original device-code sign-in IP as a strong pivot/session-reuse indicator.
Detects the multi-stage Microsoft cloud identity compromise chain reported by Microsoft Security Research (September 2026): a victim completes a successful Entra ID device-code sign-in (often induced by passkey-themed device-code phishing), the same identity's authentication/security info is registered or changed (MFA/passkey persistence) within 60 minutes (deduplicated to the earliest such event per sign-in), followed within 120 minutes by a burst of at least 25 successful, delegated-context Microsoft Graph API calls (Scopes claim populated, i.e. user-delegated permissions rather than pure application/client-credential access) spanning at least 3 distinct resource paths, exhibiting reconnaissance (>=5 requests against /users, /groups, /directoryRoles, /roleManagement, /applications, /servicePrincipals, /organization) and/or collection (>=10 requests against /messages, /mailFolders, /attachments, /drive, /drives, /sites, /lists, /search) patterns. Restricting to delegated (Scopes-bearing) Graph calls and requiring resource-path breadth removes the two largest false-positive sources: service-principal/application-only automation jobs (Roles-only tokens) and single-endpoint polling tools. Pure behavioral correlation across SigninLogs, AuditLogs, and MicrosoftGraphActivityLogs - no static IOCs. Flags whether Graph activity originated from an IP different from the original device-code sign-in IP as a strong pivot/session-reuse indicator.
Detects the Microsoft IIS worker process (w3wp.exe) spawning common command-line shells (cmd.exe or powershell.exe) and executing discovery-related commands. This is highly indicative of potential web shell activity where an adversary uses an existing web application vulnerability to gain remote code execution.
Detects anomalous, high-volume account enumeration against the Microsoft Self-Service Password Reset (SSPR) endpoint from a single source IP. The rule identifies a pattern of mixed response codes, specifically interleaving '50034' (Account does not exist) with successful or other outcomes, which indicates the use of automated tools to validate the existence of corporate accounts via response differentiation.
Detects the use of open-source secret-scanning tools (e.g., TruffleHog) by identifying their specific User-Agent strings in AWS CloudTrail logs during GetCallerIdentity calls, followed by suspicious enumeration activity (ListBuckets, ListSecrets, ListAccessKeys) from the same source IP. This behavior is indicative of threat actors validating stolen credentials for unauthorized access to cloud resources.
Detects an suspicious progression of activities originating from identified AI assistant/agent processes. The rule monitors for a chain of behaviors occurring within a 15-minute window: execution of an AI agent/tool, followed by host discovery (network/system enumeration), access to sensitive local credential files, archival of data, and outbound network communication to common file-sharing/exfiltration platforms.
Detects anomalous activity where AI assistant processes (e.g., Claude, ChatGPT, GitHub Copilot) execute a high volume of diverse discovery commands. The rule correlates multiple discovery categories, such as account, network service, system information, and network configuration discovery, occurring within a short timeframe to identify potential abuse of AI-integrated development tools for host reconnaissance.
Detects automated reconnaissance using WMI or PowerShell to perform broad queries for system environment, security products, network adapters, software, and hardware attributes. The detection focuses on clusters of distinct WMI reconnaissance categories occurring within a 15-minute window, which is often indicative of pre-C2 profiling by adversaries.
Detects anomalous or potentially malicious LDAP queries on Domain Controllers, utilizing Event ID 1644 to monitor query filters. The rule identifies patterns commonly associated with reconnaissance and enumeration activities, including Kerberoasting (SPN enumeration), AS-REP roasting, delegation abuse, Active Directory Certificate Services (AD CS) enumeration, BloodHound collection, and bulk user, group, or computer discovery.
Detects the execution of known portable network scanning utilities such as SoftPerfect NetScan and Advanced IP Scanner. These tools are frequently abused by threat actors for network enumeration and service discovery to facilitate lateral movement within a compromised environment.
Detects a single source IP initiating network connections to 50 or more distinct destination ports within a 60-second window, which is indicative of an automated port scanning sweep. The rule correlates individual connection events while excluding pre-defined allowlisted vulnerability scanners.
Detects a single host or account generating a high volume of LDAP queries (typical of reconnaissance tools like BloodHound/SharpHound) within a 10-minute time window. The rule specifically looks for more than 500 LDAP queries targeted at a limited number of Domain Controllers.
Detects Microsoft Windows Event ID 4662 (Object Access) where specific GUIDs associated with sensitive Active Directory rights (specifically, those related to DCSync or sensitive extended rights) are accessed. The rule filters out events originating from Domain Controllers to identify potentially anomalous access patterns from non-DC endpoints.
Detects instances where common scripting engines like Python or Node.js are used to spawn command shells (CMD, PowerShell, or Bash) followed by the execution of suspicious commands commonly associated with reconnaissance, file exfiltration, or lateral movement.
Detects a malicious sequence of actions originating from an Android Accessibility Service, specifically the 'SystemHelperService'. The activity involves the programmatic enablement of Developer Options and Wireless Debugging, followed by the unauthorized extraction of an ADB pairing PIN from the screen, bypassing user interaction requirements.
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