Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects the Voldemort backdoor by identifying specific byte patterns related to its configuration decryption, general decryption algorithm, access token request mechanism, network communication routines, and data download functions from its command and control (C2) server. The rule looks for a combination of these distinct code segments within a Windows executable (MZ header).
Yara rule that detects Voldemort backdoor.
This YARA rule detects the NoodRAT backdoor by identifying specific byte sequences (patterns) associated with its core functionalities. These functionalities include changing the system name, decrypting configuration data, encrypting and sending data, and receiving and decrypting data. The rule specifically targets Linux ELF executables, indicated by the magic byte `0x464C457F` at offset 0.
Detects when Microsoft Cloud App Security reports that an OAuth application has downloaded multiple files from Microsoft SharePoint or Microsoft OneDrive in a manner that is unusual for the user. This activity could indicate unauthorized data exfiltration by a compromised or malicious OAuth app.
This rule detects the execution of well-known DNS exfiltration and tunneling tools, specifically 'iodine.exe' and 'dnscat2'. These tools are commonly used by adversaries to establish covert communication channels over DNS, allowing for data exfiltration and command and control activities that might bypass traditional network defenses.
This rule detects the usage of cleartext protocols over a network by monitoring firewall logs for allowed connections to specific destination ports commonly associated with unencrypted services. These ports include HTTP (80, 8080), FTP (21), Telnet (23), and various database or application-specific ports (e.g., 1433, 3306, 1521, 27017, 50000, 11211, 15672, 5900-5904). The rule specifically looks for 'forward' or 'accept' actions, or connections not marked as 'blocked', indicating active cleartext communication. The primary goal is to identify potential credential exposure or sensitive data transmission over insecure channels.
This rule detects when an AWS EC2 snapshot's permissions are modified to allow access from another AWS account. This activity can indicate an attempt to exfiltrate data stored in the snapshot by sharing it with an adversary-controlled account.
Detects suspicious DNS queries that contain a base64 encoded string, indicated by the '==.' pattern. This pattern is often used in DNS exfiltration techniques where data is encoded in base64 and sent via DNS queries to bypass network defenses.
Detects attempts to exfiltrate data by posting a file using the `wget` utility. This can be particularly dangerous if an adversary leverages misconfigured sudo permissions for `wget` to read sensitive files like `/etc/shadow` and then exfiltrate them.
This rule detects when the master password for an AWS RDS database instance is changed. This activity could be a precursor to data exfiltration or an attempt to gain unauthorized access to the database. The rule specifically looks for the 'ModifyDBInstance' event from 'rds.amazonaws.com' where the 'masterUserPassword' in 'pendingModifiedValues' is present, indicating a password change.
Detects potential command and control (C2) beaconing activity to domains identified as being used in the 'Operation Triangulation' campaign, which targeted iOS devices with 0-day exploits. This rule specifically looks for connections to a list of known malicious domains via proxy logs.
Detects the installation of a well-known TAP driver service, specifically looking for the 'tap0901' service file name. This activity could indicate preparation for data exfiltration using tunneling techniques, as TAP drivers are often used by VPN software like OpenVPN to create virtual network interfaces.
This rule detects attempts to export an AWS EC2 instance, specifically when the 'CreateInstanceExportTask' event is logged in AWS CloudTrail. This action can be an indicator of an adversary attempting to exfiltrate data from a compromised EC2 instance by exporting it as a virtual machine image. The rule specifically looks for successful export task creations, filtering out events that contain error messages or codes, or indicate a 'Failure' in the response elements.
This rule detects when an AWS RDS database instance is restored from a snapshot and configured to be publicly accessible. This activity could indicate an attempt to exfiltrate data by making a copy of a database publicly available.
This rule detects outbound network connections to ngrok tunneling service endpoints. Ngrok is a legitimate tool that can be used to expose local servers to the internet, but it is also frequently leveraged by malicious actors for data exfiltration, command and control, and bypassing network restrictions. Detection of communication to these specific ngrok domains could indicate unauthorized use of the service for malicious purposes.
Detects the execution of 'openssl' with specific command-line arguments to connect to an IP address on ports 443 or 8080. This activity has been observed in campaigns by UNC4841 for SSL certificate exfiltration and as a C2 channel using named pipes. Further investigation of commands executed in the temporal vicinity of this activity is recommended.
This rule detects the execution of the 'split' command on Linux systems. The 'split' command is used to break a file into smaller pieces, which can be a technique used by adversaries to bypass data transfer size limits during exfiltration or to make files easier to transfer.
Detects the execution of known tunneling and exfiltration tools such as httptunnel, plink, socat, and stunnel. These tools can be abused by adversaries to establish covert communication channels, bypass network restrictions, and exfiltrate data from compromised systems.
Detects DNS queries for subdomains related to the MEGA cloud storage service. This activity can indicate data exfiltration to cloud storage, potentially using tools like Rclone.
Detects the execution of the Rclone utility, which is often used by ransomware strains like REvil, Conti, and FiveHands for data exfiltration to cloud storage services. The rule looks for specific command-line arguments and image names associated with Rclone.
This rule detects when a user or entity makes changes to Amazon S3 bucket data management configurations. This includes modifications to logging, website hosting, encryption, lifecycle policies, replication configurations, and object restoration. Such changes could indicate an attempt to tamper with data integrity, availability, or exfiltration mechanisms within S3.
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