Detections

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

4,308 detections

This detection identifies the use of common post-exploitation tools like PsExec, Impacket (specifically WMIExec), and Mimikatz. These tools are frequently used by threat actors for lateral movement and credential access after gaining initial access. The rule looks for specific process names and command-line arguments indicative of these tools.
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R W@shiftyroot
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Detections.ai Community
1 year ago
20194
Detects when a virtual disk (.vmdk) from one virtual machine is attached to a different virtual machine. This is a key TTP used by threat groups like UNC3944 to perform offline credential theft (e.g., copying NTDS.dit from a domain controller) by mounting the disk to a separate, attacker-controlled staging VM.
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R W@shiftyroot
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Detections.ai Community
1 year ago
2174
Detects components of the KimJongRAT PE variant, including the orchestrator (NetworkService.dll), loader (sys.dll/baby.dll), and stealer (dwm.dll), based on unique strings, PDB paths, and network communication artifacts.
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Stephen Lincoln@s2s_stephen
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Detections.ai Community
1 year ago
1434
This rule detects a sequence of successful Azure AD sign-ins from the same user and device. The first sign-in uses a refresh token (RT) for a non-interactive user session, specifically for the Microsoft Teams desktop client (app ID 29d9ed98-a469-4536-ade2-f981bc1d605e) from an Azure AD joined device, where the token protection status is 'unbound'. This is followed by a second successful sign-in using a primary refresh token (PRT) from the same user and device, excluding sign-ins to the 'Device Registration Service'. This sequence could indicate an adversary attempting to transition from an acquired refresh token to a primary refresh token, potentially to gain broader access or persistence within the Azure AD environment.
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R W@shiftyroot
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Detections.ai Community
1 year ago
4064
This rule detects inbound emails containing URLs that are commonly used for OAuth consent phishing, where an attacker attempts to trick users into granting permissions to a malicious application.
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
190386
Detects the creation of specific text files in the AppData directory, which is a known behavior of the Katz Stealer malware after it successfully decrypts and dumps browser master keys.
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R W@shiftyroot
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Detections.ai Community
1 year ago
1134
This query detects PowerShell and command-line activities associated with Active Directory reconnaissance, focusing on:

- Account & Group Discovery (T1087, T1069)
-- Local/Domain user/group enumeration (Get-ADUser, net user, Get-LocalGroupMember).

- Password Policy Discovery (T1201)
-- Checks domain password rules (Get-ADDefaultDomainPasswordPolicy, net accounts /domain).

- Domain Trust & Network Mapping (T1482, T1135, T1016)
-- Trust relationships (nltest /domain_trusts), shares (net share), and DNS/IP config (ipconfig).

- Lateral Movement Prep (T1021.002, T1213.002)
-- SMB share access (net use), AD object/ACL dumping (Get-ADObject).

Why It Matters:
Adversaries use these commands to map the AD environment before attacks like:

- Brute-forcing (using password policy info from T1201).
- Privilege escalation (via group membership data from T1069).
- Lateral movement (via share/trust discovery from T1135/T1482).
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Awais Munir@iawais
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Detections.ai Community
1 year ago
285270
Looking for processes executing chrome / edge with a remote debugging port, this is typically seen being leverage by info stealer malware to steal credentials.
The remote debugging functionality can be used to obtain cookies without requiring keychain access.
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frog 🐸@frog
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Detections.ai Community
1 year ago
3357
Detects command-line and PowerShell attempts to discover Windows domain/local password policies, which adversaries use to plan brute-force attacks or credential exploitation.

Each command is a reconnaissance step to answer:
"How many guesses can I make before lockout?"
"What password complexity rules exist?"
"Which domains have weaker policies?"

This aligns with MITRE’s definition of T1201.
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Awais Munir@iawais
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Detections.ai Community
1 year ago
8279
Detects a non-interactive sign-in using a refresh token for the Microsoft Authentication Broker client, targeting the Device Registration Service (DRS) with the 'adrs_access' scope. This specific combination of attributes is highly indicative of an adversary using tools like ROADtools to register a malicious device in the tenant following a successful OAuth phishing attack.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
1 year ago
94131
Detects successful user authentication using the FIDO2/WebAuthn cross-device (hybrid) sign-in feature. This technique can be abused by attackers in Adversary-in-the-Middle (AiTM) phishing campaigns to bypass FIDO key protections, as seen in the PoisonSeed campaign.
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Jason Nelson@Jason
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Detections.ai Community
1 year ago
1238
Detects the successful registration of a new FIDO2/WebAuthn security key for a user account. This activity can be legitimate, but attackers who have compromised an account may register their own FIDO key to maintain persistent access. This activity should be correlated with other suspicious events, such as a recent password reset or login from an unusual location.
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Jason Nelson@Jason
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Detections.ai Community
1 year ago
2336
Detects Microsoft Entra ID sign-in events where a user principal authenticates using a refresh token issued to the Microsoft Authentication Broker (MAB) client, targeting the Device Registration Service (DRS) with the "adrs_access" OAuth scope. This pattern may indicate token-based access to DRS following an initial authorization code phishing or as a precursor to malicious device registration using tools like ROADtx.
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test User@testuser007
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Detections.ai Community
1 year ago
8179
This detection monitors for signs of a shared or potentially compromised root account on ESXi hosts by tracking the number of unique IP addresses logging in as root within a short time window. Multiple logins from different IPs in a brief period may indicate credential misuse, lateral movement, or account compromise.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
1046
This analytic identifies processes accessing FileZilla XML configuration files (recentservers.xml and sitemanager.xml) by monitoring Windows Security Event Code 4663. This activity is considered unusual if not performed by the legitimate FileZilla application or OneDrive, and can indicate unauthorized access or manipulation of sensitive configuration files. Such access could lead to data exfiltration, credential theft, or further system compromise.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
0030
This rule detects potentially malicious sign-in attempts that occur shortly after a user clicks on a URL, especially when the sign-in originates from a different IP address or subnet than the URL click. It specifically looks for risky sign-ins to Microsoft first-party applications. The logic aims to identify scenarios where a user might be phished (e.g., via a malicious link) and then their credentials are used to sign in from an attacker-controlled location.
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Phong Huynh@phong
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Detections.ai Community
1 year ago
205229
This rule is designed to identify any non-bot user accessing an unusually high number of repositories in a short time window (30 mins), which may indicate credential abuse or insider threat activity.
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Trevor James@tjames
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Detections.ai Community
1 year ago
2030
This rule detects attempts to transfer sensitive files containing credential data via network shares. It specifically looks for Event ID 5145 (A network share object was checked to see whether client can be granted desired access) and checks if the 'RelativeTargetName' of the accessed object contains well-known filenames or paths associated with credential storage, such as Mimikatz output, LSASS memory dumps, Windows minidumps, hibernation files, SQL dumps, or critical system files like NTDS.dit, SAM, SECURITY, and SYSTEM hives.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
1028
KQL Query from file: Threat Hunt: Potential Password Spray Attacks
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Awais Munir@iawais
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Detections.ai Community
1 year ago
161183
KQL Query from file: Potential MFASweep (tool) activity has been detected.
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Boaz B@82BBB00
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Detections.ai Community
1 year ago
94135
Detects suspicious Kerberos Ticket Granting Ticket (TGT) requests where pre-authentication is disabled (Pre-Authentication Type = 0) and the ticket encryption type is RC4-HMAC (0x17). This combination is indicative of an AS-REP Roasting attack, where an adversary requests AS-REP messages for accounts without pre-authentication and attempts to crack the encrypted ticket offline to recover user passwords.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
2053
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