SigmaHQ Detections
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Detects a specific PowerShell command line pattern used by the UNC2452 threat group (also known as APT29 or Nobelium) for execution. The rule looks for PowerShell commands that use 'Invoke-WMIMethod win32_process -name create -argumentlist' or 'wmic /node: process call create' in conjunction with 'rundll32 c:\windows'. This pattern was observed in the SolarWinds Compromise.
Detects exploitation attempts of the OWASSRF variant targeting Exchange servers. This exploit leverages the OWA endpoint to access the PowerShell backend endpoint, often associated with CVE-2022-41080 and CVE-2022-41082.
Detects access to files and shares with specific names and extensions associated with BlueSky ransomware, indicating a potential or active encryption attempt. The rule looks for files ending with '.bluesky' or containing 'DECRYPT FILES BLUESKY' in their names, across both local file access events (EventID 4663, 4656) and network share access events (EventID 5145).
Detects process execution patterns associated with the Hermetic Wiper malware, specifically looking for a process named 'postgresql.exe' in a policydefinitions directory or specific command-line arguments used for credential dumping and logging.
This rule detects the potential execution of the POWERTRASH PowerShell script by looking for a specific combination of strings within the PowerShell script block text. These strings include .NET framework components related to compression (IO.Compression.DeflateStream), memory manipulation (IO.MemoryStream), base64 decoding (::FromBase64String), and reflection/code execution (GetDelegateForFunctionPointer, .Invoke(), GlobalAssemblyCache). The presence of these indicators together suggests a highly obfuscated or advanced PowerShell script, often used for malicious purposes like in-memory execution or bypassing detection.
This rule detects the use of the Resource Owner Password Credentials (ROPC) authentication flow. ROPC is generally discouraged because it requires applications to directly handle user credentials, increasing the risk of credential compromise. While it can be used for automated testing or legacy applications, its presence in other contexts may indicate a security weakness or an attempt to bypass more secure authentication mechanisms.
This rule identifies the creation or modification of Kubernetes Jobs or CronJobs within a Google Cloud environment. Adversaries may use these scheduled tasks to maintain persistence, execute malicious code, or escalate privileges within a Kubernetes cluster by scheduling containers to run at specific times or intervals.
Detects the execution of common network scanning or service enumeration tools like telnet, nmap, and netcat on Linux systems, as captured by auditd logs. This activity can indicate an adversary attempting to discover local or remote network services.
Detects commands that attempt to clear or tamper with the Linux command history. This technique is often used by threat actors to evade detection and execute commands without leaving a record in files like "bash_history" or "zsh_history". The rule specifically looks for various commands and patterns used to delete, truncate, or otherwise manipulate history files, as well as the specific log message "empty_bash_history" which can be generated by a provided monitoring script.
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.
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