Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,064 detections
Filters
Last updated
All Time
Detection languages
597
173
103
71
51
Contributors
184
155
139
90
73
Categories
20,443
11,831
5,875
5,151
4,864
1,064
Platforms
575
266
228
223
118
Products / Services
498
220
130
118
86
MITRE Techniques
488
451
363
349
341
CVEs
10
5
4
3
2
IDS Classtypes
34
3
2
2
1
IDS Protocols
29
9
1
Detects suspicious Microsoft Intune device enrollment activities characterized by the use of a spoofed User-Agent (matching Microsoft Office/Outlook strings) and rapid, multiple enrollment attempts within a short timeframe. This behavior is associated with adversary use of device-code phishing kits to enroll rogue devices using stolen session tokens.
Detects anomalous sign-in activity originating from the Microsoft Authentication Broker or utilizing the OAuth device code flow, which are frequently abused by adversaries to perform OAuth phishing and obtain access tokens.
Detects anomalous device registration activity where a single user principal registers three or more distinct devices within a short duration (2 minutes). This behavior is characteristic of device-code phishing attacks where adversaries abuse stolen device authorization codes to register multiple rogue devices, potentially for PRT (Primary Refresh Token) acquisition.
Detects several potentially malicious activities related to Active Directory Certificate Services (AD CS). This includes high volumes of failed requests (potential enumeration), requests for sensitive templates (privilege escalation), and potential impersonation attempts using Subject Alternative Names (SANs). These activities are associated with AD CS abuse techniques.
This rule detects potential ransomware activity by correlating risky user identity events (such as impossible travel or malicious IP access) with subsequent endpoint behavior typical of ransomware, specifically the deletion of shadow copies or system backups, or mass file modification activity occurring within a short window.
This rule monitors for modifications to the PostgreSQL configuration file 'pg_hba.conf', specifically looking for changes that would enable 'trust' authentication, followed by successful database logins using that method within one hour. This behavior is indicative of an attacker modifying authentication rules to gain unauthorized, passwordless access to a database.
Detects the use of the default, hardcoded 'sk-1234' secret key for HS256 JWT signing in LiteLLM proxy logs. This configuration is insecure and allows for the forgery of arbitrary user session tokens.
Detects anomalous authentication attempts where a single source IP validates a high volume of distinct Service Principal or App Client IDs within a short timeframe with a high failure rate. This pattern is indicative of attackers performing bulk validation of stolen API keys or OAuth credentials, likely harvested through mobile application decompilation (APK/IPA analysis).
Detects anomalous authentication attempts where a single source IP validates a high volume of distinct Service Principal or App Client IDs within a short timeframe with a high failure rate. This pattern is indicative of attackers performing bulk validation of stolen API keys or OAuth credentials, likely harvested through mobile application decompilation (APK/IPA analysis).
Detects several potentially malicious activities related to Active Directory Certificate Services (AD CS). This includes high volumes of failed requests (potential enumeration), requests for sensitive templates (privilege escalation), and potential impersonation attempts using Subject Alternative Names (SANs). These activities are associated with AD CS abuse techniques.
Detects high-frequency password reset or credential recovery attempts originating from a single source IP against multiple user accounts. This behavior is indicative of an automated enumeration or brute-force attack, potentially exploiting vulnerabilities such as the referenced CVE-2026-18963.
Detects anomalous unauthenticated password reset requests targeting the Keycloak reset-credentials endpoint. The rule monitors for high-volume password reset attempts from single source IP addresses, specifically flagging those that target common administrative usernames or attempt to reset passwords across multiple distinct user accounts, which may indicate exploitation attempts (e.g., CVE-2026-18963).
This rule detects potential ransomware activity by correlating risky user identity events (such as impossible travel or malicious IP access) with subsequent endpoint behavior typical of ransomware, specifically the deletion of shadow copies or system backups, or mass file modification activity occurring within a short window.
This rule detects potential ransomware activity by correlating risky user identity events (such as impossible travel or malicious IP access) with subsequent endpoint behavior typical of ransomware, specifically the deletion of shadow copies or system backups, or mass file modification activity occurring within a short window.
This rule detects anomalous activity involving guest users (external identities) or service principals in Azure AD (Microsoft Entra ID). It baselines typical behavior—including IP addresses, countries, and sign-in frequency—over a 14-day period and alerts when activity in the last 24 hours deviates significantly. This includes sign-ins from new IP addresses or countries, sudden spikes in sign-in volume, after-hours access, or failed authentication attempts, which may indicate account takeover or misuse of third-party vendor access.
Detects high-volume authentication attempts against Fortinet network appliances where multiple distinct source IPs successfully authenticate against multiple distinct accounts matching specific administrative naming patterns. This pattern is indicative of potential credential stuffing or brute-force campaigns targeting edge infrastructure.
No description available.
Detects signs of Adversary-in-the-Middle (AiTM) phishing kits by identifying sequential, rapid-fire attempts to authenticate using multiple distinct MFA methods (such as push notifications, TOTP codes, or SMS) within a single sign-in session. These attempts are combined with explicit failure states (rejected passwords, rejected codes, or denied MFA requests), suggesting an attacker is relaying authentication challenges in real-time to a victim.
Detects invocations of the 'grafana_api_request' tool that lack a preceding valid bearer-token authentication event for the same session. This indicates a potential scenario where a server or service account token is being used on behalf of an unauthenticated caller, bypassing normal authentication requirements for the Grafana API.
Detects the use of the default, hardcoded 'sk-1234' secret key for HS256 JWT signing in LiteLLM proxy logs. This configuration is insecure and allows for the forgery of arbitrary user session tokens.
Detects the use of the default, hardcoded 'sk-1234' secret key for HS256 JWT signing in LiteLLM proxy logs. This configuration is insecure and allows for the forgery of arbitrary user session tokens.
Page 14 of 51