Detections

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

304 detections

Targets high-volume account failures followed by a successful tunnel or portal authentication. The UDM rule retains principal and target context for correlation.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
206
Targets high-volume account failures followed by a successful tunnel or portal authentication. The UDM rule retains principal and target context for correlation.
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Daniel Jeremiah@daniyyell
Google SecOps
4 months ago
406
Detects the use of 'sshpass' to supply a password to SSH while simultaneously disabling strict host key checking. This combination is often indicative of automated lateral movement or credential stuffing attempts where an attacker is trying to bypass host key verification to connect to multiple systems without manual intervention.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
005
Detects repeated SSH authentication failures indicating brute force
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
3010
Detects repeated SSH authentication failures indicating brute force
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
007
Detects repeated RDP authentication failures indicating brute force
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
2010
Detects login attempts using default admin credentials on web interfaces
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
205
Detects high-volume POST requests to login forms indicating credential harvesting
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
204
This rule detects multiple attempts (10 or more within an hour) from a single IP address to access administrative interfaces on a web server. It specifically looks for URI queries containing keywords like 'admin', 'wp-admin', or 'administrator' in W3CIISLog data. Such activity often indicates a brute-force attack or scanning for administrative login pages.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
006
This rule detects a pattern indicative of password spraying or brute force attacks against user accounts. It identifies instances where a single user principal name (UPN) and IP address combination has at least 5 failed sign-in attempts and at least 1 successful sign-in attempt within a 30-minute window. This combination of failed and successful logins from the same source for the same user suggests an attacker successfully guessed a password after multiple attempts, or a password spraying attack where one of the sprayed passwords was correct.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
1407
Detects an unusually high volume (100 or more within an hour) of API calls (POST, DELETE, PUT methods to URIs containing 'api') originating from a single IP address. This activity could indicate various malicious behaviors such as brute-force attacks, credential stuffing, web application attacks, or a denial-of-service attempt against the API endpoint.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
005
This rule detects an unusually high volume of logon events (both successful and failed) or a large number of unique users attempting to log on within a 5-minute window. This behavior is indicative of potential brute-force attacks or credential stuffing attempts against Windows systems.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
106
Detects repeated SSH authentication failures indicating password brute force
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
Detects brute force attacks against IMAP email accounts
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects a high volume of POST requests to login, authentication, or password-related URI stems within a 5-minute window from unique IP addresses. This behavior is indicative of brute-force attacks or credential stuffing attempts against web applications.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
004
This rule detects and summarizes Kerberos authentication ticket requests (EventID 4765) and Kerberos authentication ticket request failures (EventID 4766) by subject username on an hourly basis. A high volume of these events for a single user could indicate credential stuffing, brute-force attempts, or other authentication-related anomalies.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
005
Detects high-volume POST requests to login forms indicating credential harvesting
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
001
This rule detects potential brute force attacks against Active Directory accounts by identifying multiple failed login attempts (EventID 4625) from the same IP address to the same account within a short time frame (10 failed attempts within 10 minutes).
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
104
Detects multiple failed Kerberos pre-authentication attempts (EventID 4771 with status codes 0x18 or 0x1f) from a single IP address against a target user within a short timeframe (20 attempts in 5 minutes). This pattern is indicative of a brute-force attack against Kerberos accounts.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
103
This rule detects potential brute force attacks against Azure AD accounts by identifying users with 10 or more failed sign-in attempts due to invalid credentials within a 5-minute window. It summarizes the failure count and associated IP addresses for each user.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
203
This rule detects and summarizes Kerberos authentication ticket requests (EventID 4765) and Kerberos authentication ticket request failures (EventID 4766) by subject username on an hourly basis. A high volume of these events for a single user could indicate credential stuffing, brute-force attempts, or other authentication-related anomalies.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
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