Detections

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

128 detections

The following 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.
Splunk Security@SplunkSecurity
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Splunk Security Content
16 days ago
001
Detects anomalous lateral movement behavior where a user account authenticates via NTLM (Logon Type 3) to at least three different hosts within a 10-minute window and subsequently accesses administrative network shares (ADMIN$ or C$) on one or more of those target systems.
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Ibrahim Saud@tektrix
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Detections.ai Community
28 days ago
703
This rule identifies potential lateral movement or account compromise by detecting accounts that have performed NTLM network logons or authentication (Events 4624/4776) without corresponding Kerberos pre-authentication or interactive logon events within a 15-minute window. This pattern often indicates the use of stolen credentials (e.g., Pass-the-Hash) to access network resources rather than standard interactive user activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
28 days ago
103
Detects anomalous lateral movement behavior characterized by an account performing multiple NTLM authentication events (Logon Type 3) across distinct hosts within a short time window, specifically where Kerberos pre-authentication is absent. This pattern is frequently observed in Pass-the-Hash (PtH) attacks where attackers utilize stolen NTLM hashes to move laterally.
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Ibrahim Saud@tektrix
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Detections.ai Community
27 days ago
102
Detects potential Pass-the-Hash (PtH) activity where a single user account performs NTLM Type 3 (network) authentications to three or more unique destination hosts within a 10-minute window, excluding service account activity (trailing $). This pattern is consistent with an adversary moving laterally across a network using harvested NTLM hashes.
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Ibrahim Saud@tektrix
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Detections.ai Community
27 days ago
002
Detects NTLM network logons (LogonType 3 or 9) which often result from a host resolving an attacker-supplied UNC path (e.g., \host esource) during forced authentication attacks. This rule monitors Windows Security Event ID 4624 to identify incoming NTLM-based network authentication requests, excluding local system logons.
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Ibrahim Saud@tektrix
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Detections.ai Community
29 days ago
103
This rule detects potential lateral movement by identifying a single user account authenticating to three or more distinct hosts using NTLM via network (LogonType 3) or impersonation (LogonType 9) logons, which is characteristic of credential-based movement across a network.
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Ibrahim Saud@tektrix
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Detections.ai Community
28 days ago
101
Detects anomalous SMB network logon events (Logon Type 3) that are characteristic of NTLM relay attacks. This includes logons involving NTLM V1, anonymous logins, or logons lacking workstation information, which are often indicative of tools like Responder or other relaying utilities.
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Ankit Mehta@Secvyn
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Detections.ai Community
28 days ago
001
Detects potential pass-the-hash activity through NTLM network logons (Type 3). The rule identifies anomalies such as mismatched workstation names relative to the source computer or NTLM authentication using zero key length material, which is often indicative of automated lateral movement attempts bypassing standard authentication processes.
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Ankit Mehta@Secvyn
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Detections.ai Community
28 days ago
001
Detects anomalous network traffic patterns characteristic of the PetitPotam exploit, specifically targeting the MS-EFSRPC interface on Windows SMB pipes. This behavior is used to force a remote system to initiate authentication to a specified target, facilitating NTLM relay attacks.
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Ankit Mehta@Secvyn
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Detections.ai Community
28 days ago
001
This rule detects activities indicative of an attacker attempting to establish an adversary-in-the-middle (AiTM) position within an on-premises network. It flags potential NTLM relay attempts (via loopback or invalid workstation indicators) and unauthorized name resolution spoofing (LLMNR/NBT-NS) used to intercept and relay authentication traffic for MFA bypass or credential theft.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects anomalous lateral movement behavior by monitoring Windows Event 4624 (Logon Type 3) using NTLM authentication. The rule triggers when a single user account authenticates to five or more distinct hosts within a five-minute window, a pattern frequently associated with Pass-the-Hash attacks where captured credentials are used to spread across a network.
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Ibrahim Saud@tektrix
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Detections.ai Community
28 days ago
000
This rule identifies potential lateral movement or account compromise by detecting accounts that have performed NTLM network logons or authentication (Events 4624/4776) without corresponding Kerberos pre-authentication or interactive logon events within a 15-minute window. This pattern often indicates the use of stolen credentials (e.g., Pass-the-Hash) to access network resources rather than standard interactive user activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
28 days ago
000
Detects the abuse of the DFS Namespace Management (DFSNM) interface by monitoring calls to NetrDfsAddStdRoot (opnum 12) and NetrDfsRemoveStdRoot (opnum 13). An adversary can trigger these functions to coerce a Windows host to authenticate to an attacker-controlled remote host using NTLM, facilitating NTLM relay attacks.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
1 month ago
102
Detects anomalous NTLM network logons (Logon Type 3) where the same user account authenticates to multiple distinct hosts within a short time window. This behavior is correlated with NTLM validation (4776) events to identify potential Pass-the-Hash activity used for lateral movement.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects anomalous lateral movement behavior where a single user account authenticates via NTLM to three or more distinct target hosts within a short time window (10 minutes). This pattern of rapid, broad authentication is a strong indicator of a Pass-the-Hash (PtH) attack.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects NTLM network logon events (Logon Type 3) using the NtLmSsp process where the key length is zero. This pattern is often indicative of Pass-the-Hash (PtH) attacks where the adversary uses a NTLM hash for authentication without knowing the original plaintext password.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
This rule detects potential lateral movement by monitoring successful network logons using NTLM authentication across multiple distinct destination hosts within a short time window. It calculates the frequency of connections to unique hosts to identify anomalous, rapid traversal through a network by a single user account, excluding known system accounts.
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Shadows VMB@Vemorian_Mort
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Detections.ai Community
1 month ago
608
Detects a pattern of multiple failed authentication attempts (brute force) from an external IP address followed by a successful authentication event on remote access services such as RDP, VPN, or NTLM. The rule filters for non-private IP addresses and flags successes occurring outside of standard business hours.
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Arnold Chan@slaz
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Hunters
2 months ago
1007
Detects a pattern of multiple failed authentication attempts (brute force) from an external IP address followed by a successful authentication event on remote access services such as RDP, VPN, or NTLM. The rule filters for non-private IP addresses and flags successes occurring outside of standard business hours.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
004
Detects NTLM network logons (NtLmSsp) for accounts that may have been targets of certificate-based identity abuse (e.g., ESC1). Attackers often leverage this technique to extract NTLM hashes from PKINIT TGT PACs and subsequently utilize Pass-the-Hash for lateral movement within the network.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
2 months ago
205
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