Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

8,407 detections

Detects the creation of suspicious scheduled tasks by monitoring Windows Event Logs (EventCode 4698) for task XML content and process creation events (EventCode 1) for the 'schtasks.exe' utility. The rule identifies tasks created in user-writable paths (like AppData or Temp), tasks containing suspicious keywords like 'hidden' or specific Mozilla update patterns, tasks configured to run as SYSTEM, and tasks spawned by non-standard parent processes.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects execution of Azure Automation runbook jobs by managed identities that have recently been assigned high-privilege roles (Owner, Contributor, or User Access Administrator). This behavior is indicative of potential privilege escalation or abuse of existing high-privilege identities to execute unauthorized automation tasks.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
104
This rule detects potentially compromised accounts by correlating successful device code authentication events that exhibit anomalous characteristics (such as first-time usage, high/medium risk scores, or non-compliant/unmanaged device status) with highly sensitive Azure AD/Graph API administrative operations occurring within 30 minutes of the sign-in.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
304
Detects Atlas RAT and ValleyRAT patterns involving process injection into svchost.exe or explorer.exe by an unauthorized process originating from a user-writable directory (e.g., Temp, AppData, Downloads). The rule correlates process injection events with preceding suspicious process launches.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects process hollowing behavior indicative of the Atlas RAT loader used by TA4922. The rule monitors for the spawning of svchost.exe or notepad.exe by non-standard parent processes located outside legitimate system directories, which is a common indicator of process injection and masquerading techniques.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects potential process injection attempts by Atlas RAT or ValleyRAT malware into system processes such as svchost.exe or explorer.exe. The rule identifies suspicious execution originating from user-writable directories (e.g., Temp, AppData) when spawning these critical processes, which deviates from standard system-based spawning patterns.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects a process hollowing technique where legitimate system processes (svchost.exe or notepad.exe) are spawned by non-standard parent processes, followed by suspicious memory manipulation API calls (such as NtUnmapViewOfSection, NtWriteVirtualMemory, or NtResumeThread) from an non-system process, indicative of malicious code injection.
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Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
001
Detects execution of Azure Automation runbook jobs by managed identities that have recently been assigned high-privilege roles (Owner, Contributor, or User Access Administrator). This behavior is indicative of potential privilege escalation or abuse of existing high-privilege identities to execute unauthorized automation tasks.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
004
This rule detects modifications to Windows Registry persistence keys (Run keys, ControlSet, and file class associations) where the value being written contains strings associated with virtualization (qemu, .qcow2), potential malware/tools (bisrv.dll), or sensitive components (vault.db, TPMProfiler). This behavior is indicative of an adversary attempting to establish persistence or inject malicious modules via registry hooks.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Clipboard hijacking malware for cryptocurrency address substitution
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Open-source derived remote access trojan with plugin architecture
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects potentially compromised accounts by correlating successful device code authentication events that exhibit anomalous characteristics (such as first-time usage, high/medium risk scores, or non-compliant/unmanaged device status) with highly sensitive Azure AD/Graph API administrative operations occurring within 30 minutes of the sign-in.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
004
macOS malware used by JINX-0164 against cryptocurrency developers
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects Entra ID guest (B2B) users performing a sign-in from a previously unseen IP address or country (observed over the last 30 days), followed within a 4-hour window by sensitive file operations in SharePoint, OneDrive, or Teams (e.g., file downloads, exports, or sensitivity label changes). This pattern is indicative of potential account takeover or unauthorized access to sensitive corporate data.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
104
Detects potential container breakout attempts on Windows systems by monitoring for the launch of privileged containers with sensitive host paths mounted, the execution of host-level processes directly spawned by container runtime binaries (docker.exe, containerd.exe), and direct access to sensitive host filesystems (e.g., C:\windows, C:\etc, C:\programdata) by container runtimes.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
004
This rule detects the addition of new certificates or client secrets to Azure App Registrations or Service Principals by a user who is not recorded as an owner of that application in the last 90 days. This behavior is a common persistence and privilege escalation technique used by attackers to maintain access to cloud environments.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
004
Detects successful sign-ins using legacy authentication protocols (e.g., IMAP, POP3, SMTP AUTH, ROPC) for user accounts that are in scope of a Conditional Access policy requiring multi-factor authentication (MFA). Legacy protocols do not support modern authentication flows, effectively bypassing configured MFA requirements and increasing the risk of credential-based attacks.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
304
This rule detects instances where a process attempts to open a handle to itself with high-privilege access rights (e.g., PROCESS_ALL_ACCESS, PROCESS_VM_WRITE, PROCESS_VM_OPERATION). This behavior is often indicative of self-injection, a technique used by malicious code to modify its own memory space or inject shellcode, evading detection and bypassing certain security controls.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects a sequence of events within a 30-minute window for a single user, specifically capturing MFA configuration changes (reset/enrollment), authentication, and device registration, occurring outside of typical business hours (20:00 - 06:00). This behavioral pattern is often indicative of an adversary establishing persistence or account takeover after gaining access to a valid account.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects authentication events for service accounts (matching patterns like 'svc', 'sa', 'service') originating from at least two different countries within a short time window (30 minutes or less), indicating potential credential compromise and anomalous geographic movement.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
101
Detects the creation of a scheduled task masquerading as a legitimate Mozilla maintenance task (UpdateTask or ElevateTask). The rule specifically flags when such tasks are configured to run as SYSTEM, triggered on system start, and are created via a command line executed by a parent process of cmd.exe, which is indicative of Payouts King ransomware persistence activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
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