Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a specific execution pattern associated with the PIVOTPIPE RAT involving two consecutive operator-issued commands. First, a process impersonation action (token theft/impersonation) is detected via PROCESS_OPEN activity, followed by a 'RevertToSelf' call within the same process context. This sequence indicates an attempt to temporarily shift privilege context to impersonate another user before returning to the original security context.
Detects execution of rundll32.exe with command line arguments containing WebDAV paths (DavWWWRoot), which is a common technique used to execute malicious DLLs from remote locations.
Aggregates password/MFA reset actions by the performing helpdesk identity, alerting on abnormal reset volume or resets outside a normal ticket pattern — a proxy for a support agent being repeatedly socially engineered or a fraudulent-ticket abuse pattern.
Detects instances where a process attempts to delete its own executable file on disk. This behavior is often associated with malware or adversary tools attempting to remove their footprint post-execution or as part of a cleanup routine.
Detects the creation of 'explorer.exe' originating from a source process other than known legitimate parent processes like 'userinit.exe', 'winlogon.exe', or 'services.exe'. This behavioral pattern is indicative of potential process hollowing or unauthorized process injection, which is a common vector for stealers like ZigCryptoStealer to gain a foothold before performing malicious activities such as clipboard manipulation.
Flags privileged or helpdesk-support account access to the identity admin console from a never-before-seen device fingerprint within minutes of a password reset on any downstream user account.
Detects Node.js processes executing suspicious command lines that involve fetching and executing remote JavaScript code. This behavior is indicative of a loader or downloader script commonly used to pull and evaluate malicious payloads at runtime, specifically referencing indicators associated with 'GHAPPIER'.
Detects the execution of rundll32.exe where the command line points to a DLL file located on a remote WebDAV share (using the 'davwwwroot' path syntax). This technique is often used to execute malicious payloads while bypassing local disk protections.
Detects instances where an administrative action involving a password reset or MFA configuration (StrongAuthenticationMethod update) is initiated by a user account that lacks the designated Helpdesk or Password Administrator role. This behavior indicates potential unauthorized privilege escalation or credential manipulation by an account not formally assigned to support workflows.
Detects instances where processes (excluding known legitimate .NET processes) load common .NET runtime modules (e.g., clr.dll, mscoree.dll) followed by remote process injection or handle-based process access, which is often indicative of reflective assembly loading used by loaders like PIVOTPIPE to execute malicious code within a target process.
This rule detects a potential vishing attack by correlating suspicious IT helpdesk requests (e.g., password or MFA reset without manager approval or verified callback) with subsequent sensitive Entra ID identity changes (e.g., self-service password resets, MFA device registration, or new device registration) occurring for the same user within a short time window. This activity is indicative of an attacker attempting to social-engineer helpdesk staff to bypass authentication controls and compromise a user account.
Detects the execution of mshta.exe with suspicious command-line arguments that indicate the loading of remote HTML Applications (HTA) via URLs or inline scripts (javascript/vbscript). This behavior is often indicative of fileless malware execution and living-off-the-land techniques to bypass security controls.
Detects an identity that performs a 'ListSecrets' operation followed by a high volume of 'GetSecretValue' or 'BatchGetSecretValue' requests within a short timeframe (15 minutes). This behavioral pattern is indicative of automated bulk exfiltration of secrets from AWS Secrets Manager, a common activity following an initial cloud environment compromise.
Detects the execution, network connections, and service installation of MeshAgent or associated binaries (e.g., mvtcs.exe). The rule identifies potential unauthorized or malicious use of this remote management software by looking for process activity, specific network connections to known infrastructure, and service persistence mechanisms.
Detects successful user authentications originating from geographically distant locations within a time window that makes physical travel impossible. The detection further filters for scenarios where the subsequent sign-in is associated with a different, non-compliant, or untrusted device, indicating a likely compromised account.
Detects a suspicious sequence of behavior where an Azure service principal authenticates and immediately performs broad reconnaissance (enumeration) across multiple subscriptions and resource types. This pattern is often indicative of an adversary using a compromised service principal credential to map out an environment.
This rule detects the creation or modification of Exchange mailbox rules (Forward, Redirect, Delete, or Mark as Read) involving sensitive keywords (invoice, wire, payment, finance, remittance) shortly after an anomalous sign-in event or a password reset on the same account. This combination is a strong indicator of account takeover and mailbox persistence.
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 a service principal or user account performing a burst of 'ListKeys' operations across multiple Azure Storage accounts. This behavior is indicative of an attacker attempting to dump access keys for multiple storage accounts after initial compromise or privilege escalation to gain further access to sensitive cloud data.
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