Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a user authorizing a Salesforce application via the '/setup/connect' page. This specific TTP is associated with ShinyHunters vishing campaigns where attackers impersonate IT staff and trick employees into entering a connection code, thereby granting a malicious application access to the organization's Salesforce environment.
Detects a user certificate that was valid but could not be mapped to a user in a strong way (such as via explicit mapping, key trust mapping, or a SID). This could be a sign of exploitation of elevation of privilege vulnerabilities (CVE-2022-34691, CVE-2022-26931, CVE-2022-26923) that can occur when the KDC allows certificate spoofing by not requiring a strong mapping. Events where the AccountName and CN of the Subject do not match, or where the CN ends in a dollar sign indicating a machine, may indicate certificate spoofing.
Detects the creation of '.library-ms' files by common archive extraction tools or Windows Explorer, which may indicate an attempt to exploit CVE-2025-24054. This vulnerability can lead to automatic outbound SMB or WebDAV authentication requests, potentially exposing NTLMv2-SSP hashes to an attacker without user interaction beyond archive extraction on unpatched systems.
This rule detects network connections to known EvilGinx phishing infrastructure, identified by specific remote URLs, IP addresses, and a suspicious login URL pattern. EvilGinx is a phishing framework used for credential harvesting and session cookie theft, often employing adversary-in-the-middle techniques.
Detects file access requests to browser credential stores by uncommon processes. This could indicate a potential attempt at credential stealing. This rule requires heavy baselining before usage to reduce false positives.
Detects suspicious usage of MpCmdRun.exe, the Microsoft Defender command-line utility, to potentially steal NTLM credentials. This rule specifically looks for MpCmdRun.exe being executed with parameters related to scanning or exclusion checking, combined with attempts to access remote UNC paths (\\). This behavior can indicate an adversary attempting to force NTLM authentication to a controlled server to capture hashes.
Detects the exploitation of CVE-2022-37966, a security bypass and elevation of privilege vulnerability in Kerberos that allows for weak RC4-HMAC negotiation. This event indicates a Kerberos KDC error related to this vulnerability.
This detection identifies potentially suspicious usage of Invoke-Sqlcmd PowerShell cmdlet, which can be used for database operations and potential data exfiltration. The detection looks for suspicious parameter combinations and query patterns that may indicate unauthorized database access, data theft, or malicious database operations. Threat actors may prefer using PowerShell Invoke-Sqlcmd over sqlcmd.exe as it provides a more flexible programmatic interface and can better evade detection.
Detects a user password change synced from on-premises Active Directory, immediately followed by the same user registering a new MFA method. This sequence is highly suspicious for existing privileged accounts and was used by the threat actor Storm-0501 to compromise a Global Administrator account that previously lacked MFA.
Detects errors when a target server doesn't have suitable keys for generating Kerberos tickets. This issue can occur, for example, when a service uses a user account or a computer account that is configured for only DES encryption on a computer that is running Windows 7 which has DES encryption for Kerberos authentication disabled. This can indicate a misconfiguration or an attempt by an attacker to exploit weak encryption types.
Detects attempts to access the PowerShell console history file (ConsoleHost_history.txt) or retrieve its path. This activity can indicate an adversary attempting to gather plaintext credentials or perform reconnaissance on previously executed commands.
Detects the creation or modification of files with names suggesting they contain plaintext credentials, such as passwords or recovery codes. This is a common tactic used by threat actors to find and steal credentials for lateral movement and privilege escalation.
This rule detects the execution of 'comp.exe' with any command-line arguments. This activity can be indicative of NTLM coercion attempts, where an attacker forces a target machine to authenticate to a malicious server to capture and potentially crack the NTLM hash.
This detection identifies potentially suspicious usage of sqlcmd.exe, focusing on command patterns that may indicate data exfiltration, reconnaissance, or malicious database operations. The detection looks for both short-form (-X) and long-form (--flag) suspicious parameter combinations, which have been observed in APT campaigns targeting high-value organizations. For example, threat actors like CL-STA-0048 have been known to abuse sqlcmd.exe for data theft and exfiltration from compromised MSSQL servers. The detection monitors for suspicious authentication attempts, output redirection, and potentially malicious query patterns that could indicate unauthorized database access or data theft.
The analytic detects modifications to the Windows registry entry "DisableRestrictedAdmin," specifically when its value is set to 0x00000000. This action disables the Restricted Admin mode, a security feature that limits credential exposure during remote connections. Monitoring this activity is crucial as changes to this setting can weaken security controls, increasing the risk of credential theft and unauthorized access to sensitive systems. This detection leverages registry activity logs from endpoint data sources like Sysmon.
Detects activity related to high-value (VIP) accounts, including:
- Azure AD account modifications
- Conditional Access policy changes affecting the user
- Role assignment changes
- Mailbox rule creation/modification
- Successful sign-ins
Useful for tracking executive account abuse, targeted attacks, or policy misconfigurations.
- Azure AD account modifications
- Conditional Access policy changes affecting the user
- Role assignment changes
- Mailbox rule creation/modification
- Successful sign-ins
Useful for tracking executive account abuse, targeted attacks, or policy misconfigurations.
Detects potential Adversary-in-the-Middle (AiTM) phishing activity, commonly associated with frameworks like Evilginx. The rule identifies suspicious domain patterns where legitimate identity provider (IdP) domains are used as subdomains of another domain, or where IdP-related keywords are used in hyphenated subdomains.
This detection identifies potential NTLM relay activity by correlating named pipe access to \netdfs (commonly abused in DFSCoerce attacks) with NTLM challenge traffic within a short time window. Attackers can exploit this technique to coerce authentication and perform NTLM relay, enabling lateral movement or privilege escalation in Active Directory environments.
Detects a transition from a Refresh Token (RT) to a Primary Refresh Token (PRT) for the same user and device within a 24-hour window. This sequence is a strong indicator of an adversary completing a device registration flow (e.g., using ROADtx) and escalating to persistent access with a PRT, which can bypass MFA and conditional access policies. The rule specifically looks for an initial RT authentication via the Microsoft Authentication Broker, followed by PRT usage for resources other than the Device Registration Service.
Detects the reconfiguration of a virtual machine where a virtual disk (.vmdk) from a different, often critical, VM is attached. This is a key tactic used by threat actors like UNC3944 to perform offline credential theft by mounting a Domain Controller's disk to a staging VM to access the NTDS.dit file.
Detects successful non-interactive sign-ins to Microsoft Graph using the Visual Studio Code (VSCode) application identity. This behavior was observed in a phishing campaign where threat actors tricked users into an OAuth flow to harvest tokens. These tokens were then used to access user data, such as emails, via the Graph API.
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