Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
608 detections
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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 instances where a user account experiences multiple failed sign-in attempts followed by a successful sign-in from a different, geographically distant location within a short timeframe, indicating impossible travel and potential credential compromise.
Detects instances where a user account experiences multiple failed sign-in attempts followed by a successful sign-in from a different, geographically distant location within a short timeframe, indicating impossible travel and potential credential compromise.
Detects multiple failed multifactor authentication (MFA) attempts from the same user on an unmanaged device. This behavior is indicative of an adversary attempting to bypass MFA or perform MFA fatigue attacks using stolen credentials.
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).
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.
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.
This rule detects anomalous access patterns on a specific IIS host (agent.3bb.co.th) by comparing recent traffic against a 30-day historical baseline. It identifies requests from accounts or source IPs not seen in the baseline, activity occurring during off-hours, or traffic from external sources. The rule further filters for high-volume or high-path diversity requests, which are indicative of automated reconnaissance or potential brute-force activity against the web application.
This rule detects anomalous access patterns on a specific IIS host (agent.3bb.co.th) by comparing recent traffic against a 30-day historical baseline. It identifies requests from accounts or source IPs not seen in the baseline, activity occurring during off-hours, or traffic from external sources. The rule further filters for high-volume or high-path diversity requests, which are indicative of automated reconnaissance or potential brute-force activity against the web application.
This rule detects anomalous access patterns on a specific IIS host (agent.3bb.co.th) by comparing recent traffic against a 30-day historical baseline. It identifies requests from accounts or source IPs not seen in the baseline, activity occurring during off-hours, or traffic from external sources. The rule further filters for high-volume or high-path diversity requests, which are indicative of automated reconnaissance or potential brute-force activity against the web application.
This rule detects anomalous access patterns on a specific IIS host (agent.3bb.co.th) by comparing recent traffic against a 30-day historical baseline. It identifies requests from accounts or source IPs not seen in the baseline, activity occurring during off-hours, or traffic from external sources. The rule further filters for high-volume or high-path diversity requests, which are indicative of automated reconnaissance or potential brute-force activity against the web application.
Detects anomalous, high-volume authentication failures originating from a single source IP address targeting multiple distinct internal devices within a short timeframe. This behavior is indicative of a password spraying or brute-force attack.
Detects anomalous, high-volume authentication failures originating from a single source IP address targeting multiple distinct internal devices within a short timeframe. This behavior is indicative of a password spraying or brute-force attack.
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).
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 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).
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 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 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).
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