Detections

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

4,308 detections

Detects a service principal or user account performing a burst of 'ListKeys' operations across multiple Azure Storage accounts. This behavior is indicative of an attacker attempting to dump access keys for multiple storage accounts after initial compromise or privilege escalation to gain further access to sensitive cloud data.
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Arnold Chan@slaz
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Hunters
1 month ago
000
Detects a service principal or user account performing a burst of 'ListKeys' operations across multiple Azure Storage accounts. This behavior is indicative of an attacker attempting to dump access keys for multiple storage accounts after initial compromise or privilege escalation to gain further access to sensitive cloud data.
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Arnold Chan@slaz
Defender - KQL
1 month ago
000
Detects Kerberos service ticket requests (Event ID 4769) that utilize weak RC4 encryption (0x17). This behavior is characteristic of Kerberoasting, where attackers request service tickets for service accounts in order to perform offline brute-force attacks to recover the service account password. The rule filters out machine account requests and focuses on standard user or service account requests.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects attempts to perform a DCSync attack by monitoring for Windows Event ID 4662 (Object Access) with specific Directory Replication Service (DRS) GUIDs. These GUIDs are used by attackers to request the replication of sensitive data, such as password hashes, from a Domain Controller without having direct access to it. This technique is commonly used by tools like Mimikatz and Impacket's secretsdump to extract credentials from Active Directory.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects common LSASS memory dumping techniques, including suspicious process access rights (EventID 10) and the execution of tools or techniques (EventID 1) such as comsvcs.dll, procdump, taskmgr, or werfault, which are often used to harvest credentials.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
101
Detects non-browser processes performing file operations (create, modify, rename) on known web browser credential storage, configuration files, and cryptocurrency wallet artifacts in a short duration. This behavior is indicative of credential harvesting or information stealing activity often associated with malware like Vidar, which stages these sensitive files for exfiltration.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
102
Detects suspicious remote registry operations performed through the Winreg RPC interface. The rule monitors for interactions with sensitive registry hives (e.g., SAM, SECURITY, SYSTEM) or anomalous levels of remote registry activity originating from remote connections (SMB, TCP, Named Pipes). Such activity is often associated with credential dumping tools like Impacket's secretsdump or unauthorized remote configuration discovery.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
1 month ago
104
This rule detects processes accessing sensitive credential, configuration, or environment files typically stored in locations like .aws, .ssh, .kube, or application user directories. It alerts when a non-standard or unexpected process touches multiple sensitive folders, or when specific suspicious process names or known malicious tools (such as 'NeedleStealer') are observed interacting with these files. This is indicative of potential credential harvesting or reconnaissance activities.
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Arnold Chan@slaz
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Hunters
1 month ago
4113
This rule detects unauthorized processes attempting to access 'Login Data' files associated with Google Chrome or Microsoft Edge web browsers. Legitimate browser processes are excluded, so any external process attempting to read these files is potentially malicious, indicating an attempt to dump stored browser credentials.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
006
Detects AI coding assistants and LLM agent frameworks attempting to access, read, or export sensitive credential files, registry hives, or application secrets. The rule monitors both file system operations on known secret locations and process execution patterns indicative of credential dumping or API token retrieval by these tools.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
Detects unauthorized processes attempting to access sensitive Mozilla Firefox profile files such as cookies.sqlite, places.sqlite, and permissions.sqlite. These files contain sensitive information including cookies, history, and permission settings. Access by processes other than the legitimate Firefox executable may indicate credential theft, data exfiltration, or reconnaissance activities.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects bulk read operations on AWS Secrets Manager or similar cloud secret stores where the accessed resources contain keywords related to cryptocurrency custody, private keys, or wallet material. This pattern is indicative of unauthorized exfiltration attempts by threat actors such as Slim Spider targeting digital asset infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
This rule detects potential unauthorized access to sensitive information by correlating the execution of command-line tools (sed, bash, sh) with secret-related flags or file references, followed shortly by execution of cloud CLI commands that enumerate or retrieve secrets. This behavior is indicative of an attacker attempting to parse or extract sensitive data stored in local configuration files or memory, and then fetching specific secret values from a cloud secret manager.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects file operations (open, read, write, rename) involving common sensitive credential files (e.g., .kdbx password databases, .ovpn and .pcf configuration files, .pem, and .ssh directory contents) by processes not authorized to interact with these files.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
006
This rule detects potential OAuth token theft resulting from device code phishing (e.g., N0va phishkit). It monitors for a successful OAuth device-code authentication followed within 5 minutes by a secondary successful sign-in for the same user from a different IP address, different browser client, or different user agent, which is a common indicator of an adversary-in-the-middle (AiTM) session hijacking attempt.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
009
Detects unauthorized processes attempting to access sensitive browser files, including Login Data (passwords) and Network/Cookies databases for Chrome, Edge, and Firefox. These files are primary targets for credential dumping and session hijacking.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
105
This rule detects suspicious activity related to specific hardcoded indicators 'p2pwn', 'p2password', and references to 'cve-2024-39943'. It scans authentication logs (Identity) and EDR logs (process command lines) for these terms, flagging potential unauthorized access, credential use, or exploitation attempts associated with this specific threat activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
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
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Hunters
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
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Midnight Slayer
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
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Detection & Hunting Community
1 month ago
001
This rule detects a suspicious sequence of AWS CloudTrail events where a single identity performs a burst of discovery and enumeration activities (reconnaissance) followed shortly by requests to access sensitive secrets, credentials, or sensitive files (e.g., .env files). This pattern is indicative of an attacker who has gained initial access and is pivoting to identify and exfiltrate credentials.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
000
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