Detections

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

2,004 detections

Detects the execution of psexesvc.exe, the service component of the PsExec tool, spawned from services.exe. This activity is indicative of lateral movement through the use of PsExec, which installs and executes the service to run commands remotely.
Aaron etr@sertg
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Detections.ai Community
4 months ago
307
Detects an authentication event using the OAuth 2.0 Device Code grant flow, immediately followed by rapid access to multiple high-value cloud resources. This pattern is characteristic of consent phishing or device code phishing, where an adversary tricks a user into authorizing a malicious application, subsequently using that application's access token to programmatically enumerate or exfiltrate data from various services.
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Smarth Arora@smarthxarora
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Detections.ai Community
4 months ago
1014
Detects the execution of the roadtx command-line utility, which is a component of the ROADtools framework used for OAuth device code flow interaction and token acquisition within Entra ID (formerly Azure AD) environments.
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Smarth Arora@smarthxarora
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Detections.ai Community
4 months ago
0013
Detects the usage of the Google Cloud IAM Credentials API to generate OAuth access tokens, OIDC ID tokens, sign JWTs, or sign blobs as a service account. This behavior indicates an identity assuming a service account's permissions, a common technique for privilege escalation or lateral movement in GCP environments.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
4 months ago
7010
Detects the use of the Windows 'net use' utility to mount a C$ administrative share using explicit user credentials. This behavior is commonly associated with lateral movement techniques where an adversary attempts to connect to a remote system share to gain access, transfer files, or execute binaries.
Aaron etr@sertg
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Detections.ai Community
4 months ago
205
This rule identifies accounts, hosts, and remote IP addresses associated with a high volume of Remote Desktop Protocol (RDP) logon activity, which may indicate brute-force attempts, credential stuffing, or anomalous remote access behavior.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
6029
Detects failed authentication attempts using the BAV2ROPC user agent (Azure CLI / legacy OAuth2 ROPC token requests) in Microsoft 365 Unified Audit Logs. BAV2ROPC bypasses MFA by authenticating directly to the /token endpoint. Error codes 50053 (account lockout), 50126 (invalid credentials), and 50034 (user not found) are characteristic of password spraying activity. Observed in the LSHIY LLC password spray campaign (June 2026).
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Luís Marques@remotecodeexecution
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SIBS Cyberwatch
4 months ago
9045
This rule detects the use of the OAuth 2.0 Device Code Authorization flow directed towards 'microsoft.com/devicelogin'. This authentication method is frequently abused by attackers in phishing campaigns to hijack device-based user sessions by tricking victims into entering a device code on a malicious site, effectively bypassing traditional password-based authentication.
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Smarth Arora@smarthxarora
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Detections.ai Community
4 months ago
109
This rule detects a multi-stage attack chain originating from OAuth device code phishing. It tracks the sequence of events starting from device code authentication, followed by the registration of a new device or Primary Refresh Token (PRT) manipulation, potential password resets, and the creation of malicious inbox rules (e.g., auto-forwarding). The rule correlates these events within a 1-hour window to identify malicious intent, with critical alerts triggered if persistence mechanisms survive a password reset.
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Renata Cardoso@rcardososec
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Detections.ai Community
4 months ago
2019
Detects the presence of specific Microsoft Entra (formerly Azure AD) authentication session cookies (ESTSAUTH, ESTSAUTHPERSISTENT, ESTSAUTHLIGHT) in web proxy traffic. This activity is indicative of session cookie theft and potential replay attacks (Pass-the-Cookie) where an adversary attempts to authenticate to Microsoft services using stolen session material from an unauthorized or non-enrolled device.
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Smarth Arora@smarthxarora
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Detections.ai Community
4 months ago
207
This rule detects a multi-stage attack chain originating from OAuth device code phishing. It tracks the sequence of events starting from device code authentication, followed by the registration of a new device or Primary Refresh Token (PRT) manipulation, potential password resets, and the creation of malicious inbox rules (e.g., auto-forwarding). The rule correlates these events within a 1-hour window to identify malicious intent, with critical alerts triggered if persistence mechanisms survive a password reset.
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Renata Cardoso@rcardososec
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Detections.ai Community
4 months ago
5115
This rule detects new or anomalous Google Workspace OAuth authorization events by monitoring for actions related to OAuth, consent, tokens, or authorization from IP addresses, geographical locations, or devices that have not been observed for the specific user account within the past 30 days.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
106
Detects anomalous internal lateral movement activity where the Remote Desktop client (mstsc.exe) establishes network connections to multiple distinct internal destinations within a short window, potentially indicating an attacker traversing the network.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
5013
This rule detects potential lateral movement or account compromise by identifying instances where a single user account successfully logs into four or more unique computer systems via Remote Desktop (Logon Type 10) within a 30-minute window.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
12020
This rule detects unauthorized requests to the '/api/tokens/import/txt' endpoint, which is associated with the 'Device Code Lab' token management panel. Such activity is indicative of an attacker importing stolen session tokens to maintain persistent access to a compromised environment.
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Smarth Arora@smarthxarora
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Detections.ai Community
4 months ago
104
This rule detects the creation of unauthorized technician accounts in the SimpleHelp RMM platform that follow an OIDC authentication bypass pattern (CVE-2026-48558). It correlates server logs indicating 'New Anon' registration activity with Windows Security Event ID 4720 (User account created), specifically filtering for accounts that do not belong to trusted corporate domains.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
2023
Detects mpr.dll loaded by non-standard processes followed by an SMB (port 445) connection from the same process, consistent with Cavern Manticore's WNetAddConnection2 routine that lazily resolves the API via P/Invoke (bypassing the static import table) and marshals stolen credentials to authenticate to remote network resources.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
104
This rule detects successful Remote Desktop Protocol (RDP) logons (Event ID 4624 with Logon Type 10) and the execution of the Remote Desktop Connection client (mstsc.exe). It monitors for signs of remote interactive access to windows endpoints, which can indicate unauthorized access or legitimate administrative activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
3010
Detects rapid succession of power-off, suspend, or destroy operations on virtual machines via esxcli or vim-cmd following an SSH login, a behavior pattern often associated with ESXi ransomware activity (e.g., Qilin).
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
10016
This rule detects suspicious Google OAuth authorization requests directed at accounts.google.com that utilize a local redirect URI (http://localhost) and are missing mandatory security parameters such as code_challenge, state, and login_hint. These characteristics are often associated with OAuth-based phishing or credential theft campaigns where an adversary attempts to intercept authorization codes.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
003
Detects SSH traffic originating from designated edge appliances (e.g., firewalls, NAS devices) directed towards internal network destinations. This pattern is often indicative of network pivoting, lateral movement, or unauthorized remote access from exposed or compromised perimeter assets.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
0013
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