Duo Tech
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2,481 detections
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Detects the use of the built-in Windows utility esentutl.exe to copy sensitive registry hives (SAM, SECURITY, or SYSTEM). This is a known technique used by adversaries to perform offline credential dumping by accessing the registry hive files.
Detects processes that execute commands involving SQL database operations, specifically those related to AES encryption functions or table management (create/drop operations) on configurations. This activity is often associated with potential database manipulation or data destruction attempts by an attacker.
This rule monitors for the execution of the 'pg_dump' utility by Python-based applications (like Langflow), followed by the deletion of a file on the same host within 60 minutes. This behavior may indicate an adversary staging data, dumping a database, and then attempting to remove evidence of the activity.
Detects HTTP GET requests to the URI '/beacon' destined for a known JadePuffer command-and-control server IP address (45.131.66.106) on port 4444. This signature identifies potential beaconing activity, which is a common communication pattern for malware implants communicating with an adversary-controlled server.
This rule detects Python processes initiated or executed in association with 'langflow'. It flags instances where Python is invoked with command-line arguments containing Base64 decoding patterns or '-c' flags, which are commonly used by attackers to execute obfuscated or staged payloads within a Python environment.
Detects anomalous internal network activity where a single host attempts to connect to multiple unique internal IP addresses across various ports within a short timeframe. This behavior is indicative of lateral movement reconnaissance or port scanning within the internal network.
This rule detects the execution of Python or MySQL command-line utilities where the command line contains strings indicative of 'mysql.func'. This pattern is often associated with the loading of malicious UDFs (User Defined Functions) or other exploitation techniques targeting database environments through script interpreters.
This rule monitors outbound network connections from internal hosts to specific ports associated with database management (MySQL: 3306) and service orchestration/discovery (Nacos: 8848, 9848). It aggregates connection counts and distinct target IP addresses by source host and initiating process. High volumes of connections to these specific service ports from unexpected processes may indicate unauthorized discovery, brute-force attempts, or lateral movement.
This rule monitors process command lines for strings associated with sensitive API keys (e.g., OpenAI, Alibaba, Huawei, Tencent, Aliyun) or seed phrases. It triggers an alert when two or more distinct patterns are identified on the same host, indicating potential credential harvesting or discovery activities.
Detects command-line execution of database drop operations combined with the disabling of foreign key constraints, which is indicative of malicious database manipulation or automated data destruction attempts.
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