Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
18,128 detections
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Detects HTTP traffic associated with the Wazza phishing kit anti-bot mechanism, including token minting requests, signed token responses, and validation checks.
Detects payload staging activity associated with threat actor UAC-0099, correlating the creation or modification of executable/DLL files in disguised LocalAppData directories with decoy images or library configuration files within a one-hour window.
Detects a multi-stage process execution chain involving PowerShell: first, a script-based download of remote content, followed by in-memory reflection, and finally, suspicious memory allocation or thread manipulation within the same process context. This pattern is characteristic of fileless malware execution chains designed to evade disk-based detection.
Detects a successful device-code sign-in whose session is replayed successfully within 60 minutes from a different IP and ASN. Only successful replays count (interrupt codes removed) and Microsoft first-party ASN egress is excluded.
Detects a successful device-code sign-in whose session is replayed successfully within 60 minutes from a different IP and ASN. Only successful replays count (interrupt codes removed) and Microsoft first-party ASN egress is excluded.
Detects M365 Copilot jailbreak attempts through prompt injection techniques including rule manipulation, system bypass commands, and AI impersonation requests that attempt to circumvent built-in safety controls. The detection searches exported eDiscovery prompt logs for jailbreak keywords like "pretend you are," "act as," "rules=," "ignore," "bypass," and "override" in the Subject_Title field, assigning severity scores based on the manipulation type (score of 4 for amoral impersonation or explicit rule injection, score of 3 for entity roleplay or bypass commands). Prompts with a jailbreak score of 2 or higher are flagged, prioritizing the most severe attempts to override AI safety mechanisms through direct instruction injection or unauthorized persona adoption.
The following analytic detects the creation of an NTFS alternate data stream (ADS) accessed over a local administrative share targeting the loopback address (127.0.0.1).
It leverages Windows Security Event Logs with EventCode 5145 to identify this activity.
Legitimate local processes access files directly rather than through a local SMB share.
This behavior is a hallmark of the ShieldBreak exploit, which abuses a symbolic link swap through a loopback share to redirect a privileged, Defender-driven write into an alternate data stream on a system-owned file, ultimately landing attacker content in C:\Windows\System32.
If confirmed malicious, this activity indicates an in-progress local privilege escalation attempt and should be investigated immediately.
It leverages Windows Security Event Logs with EventCode 5145 to identify this activity.
Legitimate local processes access files directly rather than through a local SMB share.
This behavior is a hallmark of the ShieldBreak exploit, which abuses a symbolic link swap through a loopback share to redirect a privileged, Defender-driven write into an alternate data stream on a system-owned file, ultimately landing attacker content in C:\Windows\System32.
If confirmed malicious, this activity indicates an in-progress local privilege escalation attempt and should be investigated immediately.
Detects the rare 'AssumeRoot' event in AWS STS followed by high-impact administrative or destructive API calls within a one-hour window. This behavior often indicates an adversary attempting to gain elevated, privileged access to perform unauthorized actions such as disabling logging, deleting infrastructure, or modifying IAM policies.
Detects the creation of persistence mechanisms through both Registry Run keys and Scheduled Tasks within a one-hour window, specifically targeting names indicative of masquerading as legitimate update or helper components.
Detects high-risk operations performed by the Entra ID/AAD Connect synchronization service account (e.g., Sync_* or ADToAADSyncServiceAccount). This account, which often holds broad directory permissions, is a prime target for attackers to gain persistence or escalate privileges within the cloud directory. The rule monitors for unauthorized sign-ins, sensitive configuration changes (such as modifications to federation trust, authentication policies, or directory synchronization settings), and password resets targeting the sync account itself.
Detects the GOST tunnel binary deployed as svchost.exe from a staging directory, identified by its known hash, or by an unsigned PE importing config.dll with a matching MZ header and embedded config.dll reference (reduces FPs from legitimately signed software that imports a DLL of the same name)
Detects the GOST tunnel binary deployed as svchost.exe from a staging directory, identified by its known hash, or by an unsigned PE importing config.dll with a matching MZ header and embedded config.dll reference (reduces FPs from legitimately signed software that imports a DLL of the same name)
Detects sign-in activity originating from a known suspicious VPN/proxy IP range targeting critical Microsoft 365 applications. The rule specifically monitors for instances where multi-factor authentication (MFA) enforcement appears to be absent or failed, suggesting a potential account compromise and subsequent data access attempt via a proxy/VPN.
Detects emails from free-mail domains (@mail.com or @outlook.com) that contain a specific malicious infrastructure indicator in the InternetMessageId or originate from a known suspicious IP address associated with TA419-style spoofing campaigns. This indicates the email was relayed through unauthorized infrastructure rather than the expected legitimate mail providers.
Detects a shell command referencing a hidden, octal/self-deleting payload
file written to a VMFS datastore volume using a '.sys' filename prefix followed by a
numeric timestamp, combined with an 'rm -f' cleanup of the same file. CrowdStrike observed
this VMFS staging technique used to blend a decoded payload in with legitimate system files
before it is executed and then removed as an anti-forensics step, denying incident
responders a copy of the payload from disk.
file written to a VMFS datastore volume using a '.sys' filename prefix followed by a
numeric timestamp, combined with an 'rm -f' cleanup of the same file. CrowdStrike observed
this VMFS staging technique used to blend a decoded payload in with legitimate system files
before it is executed and then removed as an anti-forensics step, denying incident
responders a copy of the payload from disk.
Detects Microsoft Entra ID (formerly Azure AD) sign-in attempts that use the specific, hardcoded User-Agent string associated with the TeamFiltration tool. This tool is frequently used for mass credential testing against Microsoft 365 environments. The detection looks for a suspicious and outdated combination of Teams, Electron, and Chrome versions that would not be present in legitimate, modern Microsoft Teams client traffic.
The following analytic detects the execution of tools commonly exploited by cybercriminals, such as those used for unauthorized access, network scanning, privilege escalation, password dumping or data exfiltration.
It leverages process activity data from Endpoint Detection and Response (EDR) agents, focusing on known attacker tool names.
This activity is significant because it serves as an early warning system for potential security incidents, enabling prompt response. If confirmed malicious, this activity could lead to unauthorized access, data theft, or further network compromise, posing a severe threat to the organization's security infrastructure.
It leverages process activity data from Endpoint Detection and Response (EDR) agents, focusing on known attacker tool names.
This activity is significant because it serves as an early warning system for potential security incidents, enabling prompt response. If confirmed malicious, this activity could lead to unauthorized access, data theft, or further network compromise, posing a severe threat to the organization's security infrastructure.
Detects the execution of rundll32 with a command line that doesn't contain a common extension
Detects anomalous account behavior where a single user account authenticates to three or more distinct applications within a 60-minute window while originating from at least two different IP addresses. This pattern is indicative of a successful account compromise followed by rapid reconnaissance or data exfiltration across multiple cloud services.
This rule identifies successful sign-in events using the Azure CLI application where multi-factor authentication (MFA) was not enforced. This is a potential indicator of a misconfiguration where sensitive cloud management interfaces are accessible via single-factor authentication, or a sign of an adversary attempting to leverage a less secure authentication pathway.
The following analytic detects the execution of native .NET binaries from non-standard directories within the Windows operating system.
It leverages Endpoint Detection and Response (EDR) telemetry, comparing process names and original file names against a predefined lookup "is_net_windows_file".
This activity is significant because adversaries may move .NET binaries to unconventional paths to evade detection and execute malicious code.
If confirmed malicious, this behavior could allow attackers to execute arbitrary code, escalate privileges, or maintain persistence within the environment, posing a significant security risk.
Also this analytic leverages a sub-search to enhance performance. sub-searches have limitations on the amount of data they can return. Keep this in mind if you have an extensive list of ransomware note file names.
It leverages Endpoint Detection and Response (EDR) telemetry, comparing process names and original file names against a predefined lookup "is_net_windows_file".
This activity is significant because adversaries may move .NET binaries to unconventional paths to evade detection and execute malicious code.
If confirmed malicious, this behavior could allow attackers to execute arbitrary code, escalate privileges, or maintain persistence within the environment, posing a significant security risk.
Also this analytic leverages a sub-search to enhance performance. sub-searches have limitations on the amount of data they can return. Keep this in mind if you have an extensive list of ransomware note file names.
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