Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
4,308 detections
Filters
Last updated
All Time
Detection languages
2,033
733
398
298
243
Contributors
1,048
740
503
372
239
Categories
20,437
11,828
5,871
5,150
4,864
4,308
Platforms
2,570
792
615
382
319
Products / Services
767
739
659
512
348
MITRE Techniques
2,347
917
847
814
635
CVEs
9
6
6
6
5
IDS Classtypes
81
66
44
14
14
IDS Protocols
136
79
11
7
4
The following analytic identifies potential threats related to the theft or forgery of authentication certificates. It detects when five or more analytics from the Windows Certificate Services story trigger within a specified timeframe. This detection leverages aggregated risk scores and event counts from the Risk data model. This activity is significant as it may indicate an ongoing attack aimed at compromising authentication mechanisms. If confirmed malicious, attackers could gain unauthorized access to sensitive systems and data, potentially leading to severe security breaches.
The following analytic identifies processes querying the registry for potential passwords or credentials. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions that access specific registry paths known to store sensitive information. This activity is significant as it may indicate credential theft attempts, often used by adversaries or post-exploitation tools like winPEAS. If confirmed malicious, this behavior could lead to privilege escalation, persistence, or lateral movement within the network, posing a severe security risk.
This analytic detects potential credential dumping by identifying specific GrantedAccess permission requests and CallTrace DLLs targeting the LSASS process. It leverages Sysmon EventCode 10 logs, focusing on access requests to lsass.exe and call traces involving debug and native API DLLs like dbgcore.dll, dbghelp.dll, and ntdll.dll. This activity is significant as credential dumping can lead to unauthorized access to sensitive credentials. If confirmed malicious, attackers could gain elevated privileges and persist within the environment, posing a severe security risk.
The analytic detects when an unusual number of NTLM authentications is attempted by the same source against multiple destinations. This activity generally results when an attacker attempts to brute force, password spray, or otherwise authenticate to multiple domain-joined Windows devices using an NTLM-based process/attack. This same activity may also generate a large number of EventID 4776 events as well.
The analytic detects unauthorized access or misuse of Kubernetes Secrets by unusual user groups. It leverages Kubernetes Audit logs to identify anomalies in access patterns by analyzing the source of requests and user groups. This activity is significant for a SOC as Kubernetes Secrets store sensitive information like passwords, OAuth tokens, and SSH keys. If confirmed malicious, this behavior could indicate an attacker attempting to exfiltrate or misuse these secrets, potentially leading to unauthorized access to sensitive systems or data.
The following analytic detects CrowdStrike alerts for Medium Identity Risk Severity with a risk score of 55% or higher. These alerts indicate significant vulnerabilities in user identities, such as suspicious behavior or compromised credentials. Promptly investigating and addressing these alerts is crucial to prevent potential security breaches and ensure the integrity and protection of sensitive information and systems.
This analytic detects CrowdStrike alerts indicating privilege escalation attempts by non-admin users. These alerts signify unauthorized efforts by regular users to gain elevated permissions, which poses a significant security risk. Detecting and addressing these attempts promptly helps prevent potential breaches and ensures that user privileges remain properly managed, maintaining the integrity of the organization's security protocols. The rule specifically filters for alerts containing "Privilege escalation" in the incident type and excludes users identified as administrators or service accounts.
This analytic detects suspicious Kerberos Ticket Granting Ticket (TGT) requests that may indicate exploitation of CVE-2021-42278 and CVE-2021-42287. It identifies sequences where a computer account is renamed (Event ID 4781) and immediately followed by a TGT request (Event ID 4768) for that same account. This behavior is significant as it could represent an attempt to escalate privileges by impersonating a Domain Controller, potentially leading to elevated access and control over the domain environment.
The following analytic detects the temporary addition of a global catalog SPN or a DRS RPC SPN to an Active Directory computer object, indicative of a potential DCShadow attack. This detection leverages EventCode 5136 from the `wineventlog_security` data source, focusing on specific SPN attribute changes. This activity is significant as DCShadow attacks allow attackers with privileged access to register rogue Domain Controllers, enabling unauthorized changes to the AD infrastructure. If confirmed malicious, this could lead to unauthorized replication of changes, including credentials and keys, compromising the entire domain's security.
The analytic identifies a single source endpoint failing to authenticate with 30 unique valid users using the NTLM protocol. It leverages EventCode 4776 from Domain Controller logs, focusing on error code 0xC000006A, which indicates a bad password. This behavior is significant as it may indicate a Password Spraying attack, where an adversary attempts to gain initial access or elevate privileges. If confirmed malicious, this activity could lead to unauthorized access to sensitive information or further compromise of the Active Directory environment.
The following analytic identifies the provisioning of a new MFA device shortly after a password reset. It detects this activity by correlating Windows Event Log events for password changes (EventID 4723, 4724) with PingID logs indicating device pairing. This behavior is significant as it may indicate a social engineering attack where a threat actor impersonates a valid user to reset credentials and add a new MFA device. If confirmed malicious, this activity could allow an attacker to gain persistent access to the compromised account, bypassing traditional security measures.
The following analytic detects the assignment of the Privileged Authentication Administrator role to an Azure AD user. It leverages Azure Active Directory audit logs to identify when this specific role is assigned. This activity is significant because users in this role can set or reset authentication methods for any user, including those in privileged roles like Global Administrators. If confirmed malicious, an attacker could change credentials and assume the identity and permissions of high-privilege users, potentially leading to unauthorized access to sensitive information and critical configurations.
The following analytic detects attempts to access or dump the contents of /etc/passwd and /etc/shadow files on Linux systems. It leverages data from Linux Auditd, focusing on processes like 'cat', 'nano', 'vim', and 'vi' accessing these files. This activity is significant as it may indicate credential dumping, a technique used by adversaries to gain persistence or escalate privileges. If confirmed malicious, attackers could obtain hashed passwords for offline cracking, leading to unauthorized access and potential system compromise.
The following analytic detects changes to the sIDHistory attribute of user or computer objects across different domains. It leverages Windows Security Event Codes 4738 and 4742 to identify when the sIDHistory attribute is modified. This activity is significant because the sIDHistory attribute allows users to inherit permissions from other AD accounts, which can be exploited by adversaries for inter-domain privilege escalation and persistence. If confirmed malicious, this could enable attackers to gain unauthorized access to resources, maintain persistence, and escalate privileges across domain boundaries.
The following analytic identifies a genuine Domain Controller (DC) promotion event by detecting when a computer assigns itself the necessary Service Principal Names (SPNs) to function as a domain controller. It leverages Windows Security Event Code 4742 to monitor existing domain controllers for these changes. This activity is significant as it can help identify rogue DCs added to the network, which could indicate a DCShadow attack. If confirmed malicious, this could allow an attacker to manipulate Active Directory, leading to potential privilege escalation and persistent access within the environment.
The analytic identifies a computer account creating a new computer account with a specific Service Principal Name (SPN) "RestrictedKrbHost". This behavior is significant as it may indicate an attempt to establish unauthorized Kerberos authentication channels, potentially leading to lateral movement or privilege escalation. If confirmed malicious, this activity could allow an attacker to impersonate services, access sensitive information, or maintain persistence within the network.
The analytic detects processes loading the samlib.dll or samcli.dll modules, which are often abused to access Security Account Manager (SAM) objects or credentials on domain controllers. This detection leverages Sysmon EventCode 7 to identify these DLLs being loaded outside typical system directories. Monitoring this activity is crucial as it may indicate attempts to gather sensitive identity information. If confirmed malicious, this behavior could allow attackers to obtain credentials, escalate privileges, or further infiltrate the network.
The following analytic identifies the execution of the Windows OS tool klist.exe, often used by post-exploitation tools like winpeas. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and parent process details. Monitoring klist.exe is significant as it can indicate attempts to list or gather cached Kerberos tickets, which are crucial for lateral movement or privilege escalation. If confirmed malicious, this activity could enable attackers to move laterally within the network or escalate privileges, posing a severe security risk.
The analytic identifies the creation of a login profile for one AWS user by another, followed by a console login from the same source IP. It uses AWS CloudTrail logs to correlate the `CreateLoginProfile` and `ConsoleLogin` events based on the source IP and user identity. This activity is significant as it may indicate privilege escalation, where an attacker creates a new login profile to gain unauthorized access. If confirmed malicious, this could allow the attacker to escalate privileges and maintain persistent access to the AWS environment.
The analytic detects an AWS account successfully authenticating from multiple unique IP addresses within a 5-minute window. It leverages AWS CloudTrail logs, specifically monitoring `ConsoleLogin` events and counting distinct source IPs. This behavior is significant as it may indicate compromised credentials, potentially from a phishing attack, being used concurrently by an adversary and a legitimate user. If confirmed malicious, this activity could allow unauthorized access to corporate resources, leading to data breaches or further exploitation within the AWS environment.
The analytic detects the assignment of the ApplicationImpersonation role in Office 365 to a user or application. This role allows impersonation of any user, enabling access to and modification of their mailbox. If confirmed malicious, an attacker could gain unauthorized access to sensitive information, manipulate mailbox data, and perform actions as a legitimate user, posing a severe security risk to the organization.
Page 189 of 206