Detections

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

3,613 detections

Detects the behavior of LunexStealer targeting cryptocurrency wallets. The rule monitors for the enumeration of known crypto wallet files and browser-stored extension data, followed closely by the creation of a 'wallet.zip' archive by the same process, which is indicative of staged data collection for exfiltration.
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects the behavior of LunexStealer targeting cryptocurrency wallets. The rule monitors for the enumeration of known crypto wallet files and browser-stored extension data, followed closely by the creation of a 'wallet.zip' archive by the same process, which is indicative of staged data collection for exfiltration.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
002
Detects potential Adversary-in-the-Middle (AiTM) activity by identifying a successful interactive MFA-protected sign-in followed within 15 minutes by a non-interactive (refresh token) sign-in for the same user from a different IP address, ASN, or User-Agent. This pattern is indicative of session hijacking where an attacker reuses a stolen session token.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
104
Detects the execution of known NTLM relay and coercion tools (such as PetitPotam, EfsPotato, PrinterBug, DFSCoerce, or Coercer) when attempting to coerce a local authentication or credential relay using the local loopback address. These tools leverage various RPC-based techniques to force the local machine to authenticate to an attacker-controlled source, facilitating NTLM relay attacks.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
4012
Detects the loading of the 'WbElevation.dll' module associated with SectopRAT, followed by suspicious access to browser, email, or cryptocurrency wallet credential stores within a 10-minute window on the same device.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
Detects post-exploitation indicators of CVE-2026-62911, an authentication-bypass-by-capture-replay vulnerability in Microsoft Exchange. The rule identifies anomalous behavior following a potential bypass: either the assignment of the ApplicationImpersonation management role or a single impersonation session accessing an abnormally high number of distinct mailboxes (FolderBind, MessageBind, or SendAs).
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects a specific attack chain attributed to ClosedQuorum, involving LSASS memory dumping, subsequent access to browser-based credential stores or cryptocurrency wallet files, and finally staging the stolen data in C:\Windows\Temp\ within a short time window.
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Arnold Chan@slaz
Defender - KQL
1 month ago
605
Detects a single identity listing access keys for a high volume (20+) of Azure Storage Accounts within a 15-minute window. This behavior is indicative of credential harvesting, reconnaissance, or automated exfiltration attempts targeting storage resources.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
002
This rule detects potential NTLM relay or authentication downgrade attempts by monitoring HTTP POST requests to the Certificate Enrollment Service (CES) endpoint. It specifically flags when an 'Authorization' header contains an NTLM-wrapped 'Negotiate' token, which is often indicative of an attacker attempting to coerce or relay authentication material to the service.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects the execution of known NTLM Certificate Enrollment Service (CES) relay tools alongside subsequent outbound network connections to Active Directory Certificate Services (AD CS) CES enrollment endpoints. This behavioral pattern indicates an adversary attempting to relay NTLM authentication to an AD CS server to request a certificate, typically for privilege escalation or persistence.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects unauthorized processes (excluding firefox.exe and explorer.exe) accessing or modifying sensitive Firefox browser profile files, specifically places.sqlite (history/bookmarks) and cookies.sqlite (session cookies). This activity is often indicative of credential or session hijacking attempts by malware or malicious scripts.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
101
Detects network activity associated with ngrok tunnel domains or suspicious lookalike Microsoft SSO domains (microsoft-sso.com) attempting to perform OIDC discovery, JWKS retrieval, or MFA-related EAM endpoint interactions. This behavior is indicative of adversary-in-the-middle (AiTM) attacks targeting authentication processes.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
Detects PowerShell processes using .NET screen capture libraries (System.Windows.Forms/Drawing) to generate image files in common staging directories like Temp or Public folders, which is a common pattern for malicious screen capture exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
Detects AI agent tooling (e.g., LangChain, Copilot, Claude Code) performing read operations on databases containing sensitive data patterns, or performing suspicious bulk data enumeration. The rule monitors Azure SQL Database security audit events for suspicious application name signatures and non-schema introspective queries.
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Arnold Chan@slaz
Defender - KQL
1 month ago
104
Detects the creation of suspicious O365 inbox rules designed to hide (via mark-as-read, move, or delete actions) or forward/redirect email messages containing keywords associated with financial transactions such as payment, wire, or invoice. This behavior is indicative of post-compromise activity, specifically targeted at invoice fraud or email thread hijacking.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
105
Detects evidence of account persistence and potential mailbox manipulation following an anomalous sign-in event in Google Workspace. The rule identifies suspicious post-compromise activity such as the addition of new MFA methods, new OAuth application grants, or mailbox forwarding/inbox rules, which are consistent with the reuse of captured authenticated sessions.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
Detects instances where AI developer tools or IDE assistants (e.g., Claude, Copilot, Cursor) execute data collection commands (such as directory traversal or archiving) followed by or concurrent with the bulk access of sensitive files (credentials, configuration files) or personal user data.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
204
This rule detects the suspicious copying of a Chromium-based browser 'Web Data' file (which stores sensitive information like saved passwords, credit cards, or address data) to a temporary file, followed by an outbound network connection to a specific exfiltration endpoint pattern within a 30-minute window.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
103
Detects a specific adversarial pattern used to bypass authentication protections, where a browser process first navigates to an attacker-controlled identity verification or CAPTCHA challenge page, followed by an immediate navigation to legitimate Microsoft device code authentication endpoints within the same process session.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
305
Detects anomalous network traffic patterns from 'rnpkeys.exe', a known loader associated with the Sauron malware, communicating with predefined command-and-control (C2) domains or over HTTPS. The rule identifies high volumes of short-lived, frequent connections indicative of fragmented exfiltration (e.g., screenshots) blended into regular beaconing activity.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
1 month ago
202
This rule detects when an OAuth application is granted sensitive Exchange Online permissions, such as 'full_access_as_app', 'Mail.Read', 'Mail.ReadWrite', or 'Mail.Send'. Granting these permissions allows an application to access mailboxes across the tenant without requiring a signed-in user context, which is a common persistence and data exfiltration technique used in Business Email Compromise (BEC) and espionage campaigns.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
000
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