Detections

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

608 detections

Detects credential stuffing in Entra ID sign-in logs: one source IP failing against many distinct accounts within an hour, then succeeding on a small number of them.
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Arnold Chan@slaz
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Detections.ai Community
22 days ago
15014
Detects failed internal SAP logon attempts (AU2) targeting an invalid or non-existent client, indicating potential misconfiguration or an unauthorized access probe.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
14 days ago
000
Detects credential stuffing in Entra ID sign-in logs: one source IP failing against many distinct accounts within an hour, then succeeding on a small number of them.
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Arnold Chan@slaz
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Midnight Slayer
22 days ago
004
Detects credential stuffing in Entra ID sign-in logs: one source IP failing against many distinct accounts within an hour, then succeeding on a small number of them.
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Arnold Chan@slaz
Defender - KQL
22 days ago
002
Detects Microsoft Entra ID (formerly Azure AD) sign-in attempts that use the specific, hardcoded User-Agent string associated with the TeamFiltration tool. This tool is frequently used for mass credential testing against Microsoft 365 environments. The detection looks for a suspicious and outdated combination of Teams, Electron, and Chrome versions that would not be present in legitimate, modern Microsoft Teams client traffic.
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Ankit Mehta@Secvyn
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SlimKQL 2026
1 month ago
6018
Detects credential stuffing in Entra ID sign-in logs: one source IP failing against many distinct accounts within an hour, then succeeding on a small number of them.
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Arnold Chan@slaz
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Hunters
22 days ago
201
Detects credential stuffing in Entra ID sign-in logs: one source IP failing against many distinct accounts within an hour, then succeeding on a small number of them.
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Arnold Chan@slaz
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Detection & Hunting Community
22 days ago
001
This rule identifies potential brute force or password spraying attacks against network edge devices, such as firewalls and VPN gateways. It aggregates authentication failures and denied connection attempts by source IP address. The rule differentiates between brute force attacks, characterized by a high volume of failed attempts against one or more users from a single source, and password spraying, indicated by multiple unique usernames failing authentication from the same source.
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Ankit Mehta@Secvyn
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Detections.ai Community
30 days ago
004
This rule detects potential brute-force activity against remote access services (OpenVPN, StrongSwan, WireGuard, and SSH) on Linux hosts by monitoring Syslog for patterns indicating repeated failed authentication attempts. It further highlights instances where a burst of failed attempts is followed by a successful authentication for the same source IP, indicating a potential successful compromise.
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Ankit Mehta@Secvyn
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Detections.ai Community
30 days ago
204
Detects Microsoft Entra ID (formerly Azure AD) sign-in attempts that use the specific, hardcoded User-Agent string associated with the TeamFiltration tool. This tool is frequently used for mass credential testing against Microsoft 365 environments. The detection looks for a suspicious and outdated combination of Teams, Electron, and Chrome versions that would not be present in legitimate, modern Microsoft Teams client traffic.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
1 month ago
004
This rule detects a potential brute force attack against the Microsoft SQL Server 'sa' administrative account. It identifies a high volume of failed authentication events (Event ID 18456) for the 'sa' account within a 10-minute window, followed by a successful authentication event (Event ID 18453 or 18454) from the same source IP address. The rule specifically filters for successful logins originating from non-private (internet-facing) IP addresses, suggesting an attempt from an external threat actor.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
This rule detects potential brute force activity against network infrastructure devices (firewalls/UTMs). It identifies a sequence where a specific Source IP records multiple failed authentication attempts within a 1-hour window, followed by a successful authentication attempt from the same IP address. This pattern suggests a successful compromise of an account via credential guessing.
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Ankit Mehta@Secvyn
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Detections.ai Community
30 days ago
303
Detects an authentication pattern characteristic of credential compromise, consisting of a burst of failed authentication attempts against an account within a short window, followed immediately by a successful sign-in from an anomalous or new device/location. This pattern is indicative of brute-force or credential spraying followed by successful validation and potential lateral movement.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
003
Detects successful authentication events for accounts that have been dormant for at least 90 days, correlated with suspicious activity markers such as recent failed sign-in attempts, access from an unfamiliar geographic location or ASN, or a complete absence of historical sign-in activity.
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Arnold Chan@slaz
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Hunters
1 month ago
206
Detects an authentication pattern characteristic of credential compromise, consisting of a burst of failed authentication attempts against an account within a short window, followed immediately by a successful sign-in from an anomalous or new device/location. This pattern is indicative of brute-force or credential spraying followed by successful validation and potential lateral movement.
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects high-frequency access requests directed at authentication or API endpoints originating from known Tor exit-node IP addresses. This activity is indicative of credential stuffing or automated scanning patterns that attempt to evade IP-based reputation or rate-limiting filters.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
102
This rule detects potential brute force or account compromise attempts by identifying user accounts that have successfully authenticated or initiated authentication events from two or more distinct IP addresses within the observed time window. It monitors Windows Event IDs 4624 (Successful Logon), 4648 (Logon attempted using explicit credentials), and 4776 (The domain controller attempted to validate the credentials for an account).
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
4156
Detects high-volume SSH authentication failures from a single source IP address within a short time frame, which is indicative of credential spraying or brute force activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
102
Detects successful authentication events for accounts that have been dormant for at least 90 days, correlated with suspicious activity markers such as recent failed sign-in attempts, access from an unfamiliar geographic location or ASN, or a complete absence of historical sign-in activity.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
103
Detects a high frequency of SSH connection attempts originating from a single source address within a short timeframe, specifically targeting the initial SSH handshake string. This is indicative of automated brute force or credential stuffing activity against SSH services.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects an authentication pattern characteristic of credential compromise, consisting of a burst of failed authentication attempts against an account within a short window, followed immediately by a successful sign-in from an anomalous or new device/location. This pattern is indicative of brute-force or credential spraying followed by successful validation and potential lateral movement.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
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