Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This analytic detects the use of `wget` to download a file from a remote source and pipe its content directly to `bash` for execution. This behavior is commonly associated with malicious activities such as deploying coinminers or exploiting vulnerabilities like CVE-2021-44228 (Log4j). Successful execution of such commands could lead to arbitrary code execution, system compromise, and unauthorized data access.
This analytic detects network connections flagged by Cisco Secure Firewall's Encrypted Visibility Engine (EVE) with a high threat confidence score (80% or greater). This indicates that the encrypted traffic is highly likely to be malicious, potentially associated with malware command and control (C2), remote access tools, or suspicious tunneling behavior. Such activity could signify covert communication from compromised hosts.
The analytic detects the use of the `curl` command with proxy-related arguments such as `-x`, `socks`, `--preproxy`, and `--proxy`. This activity is significant as it may indicate an adversary attempting to use a proxy to evade network monitoring and obscure their actions. If confirmed malicious, this behavior could allow attackers to bypass security controls, making it difficult to track their activities and potentially leading to unauthorized data access or exfiltration.
The analytic detects the execution of Windows shell processes initiated by WinRAR, such as "cmd.exe", "powershell.exe", "certutil.exe", "mshta.exe", or "bitsadmin.exe". This activity is significant because it may indicate exploitation of the WinRAR CVE-2023-38831 vulnerability, where malicious scripts are executed from spoofed ZIP archives. If confirmed malicious, this could lead to unauthorized access, financial loss, and further malicious activities like data theft or ransomware attacks.
The analytic identifies potential exploitation of Log4Shell CVE-2021-44228 by correlating multiple MITRE ATT&CK tactics detected in risk events. It leverages Splunk's risk data model to calculate the distinct count of MITRE ATT&CK tactics from Log4Shell-related detections. This activity is significant because it indicates a high probability of exploitation if two or more distinct tactics are observed. If confirmed malicious, this activity could lead to initial payload delivery, callback to a malicious server, and post-exploitation activities, potentially resulting in unauthorized access, lateral movement, and further compromise of the affected systems.
The analytic detects the use of the curl command with specific switches (-F, --form, --upload-file, -T, -d, --data, --data-raw, -I, --head) to upload AWS credentials or configuration files to a remote destination. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and process details. This activity is significant as it may indicate an attempt to exfiltrate sensitive AWS credentials, a technique known to be used by the TeamTNT group. If confirmed malicious, this could lead to unauthorized access and potential compromise of AWS resources.
The following analytic detects attempts to exploit a remote code execution vulnerability in Juniper Networks devices. It identifies requests to /webauth_operation.php?PHPRC=*, which are indicative of uploading and executing malicious PHP files. This detection leverages the Web data model, focusing on specific URL patterns and HTTP status codes. This activity is significant because it signals an attempt to gain unauthorized access and execute arbitrary code on the device. If confirmed malicious, the attacker could gain control over the device, leading to data theft, network compromise, or other severe consequences.
The following analytic detects the use of certutil to download software, specifically when spawned by SQL-related processes. This detection leverages Endpoint Detection and Response (EDR) data, focusing on command-line executions involving certutil with parameters like *urlcache* and *split*. This activity is significant as it may indicate a compromise by threat actors, such as Flax Typhoon, who use certutil to establish persistent VPN connections. If confirmed malicious, this behavior could allow attackers to maintain access, monitor system availability, and potentially escalate to data theft or ransomware deployment.
The analytic detects the use of 'curl' and 'wget' commands within a Linux environment. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, user information, and command-line executions. This activity is significant as 'curl' and 'wget' are commonly used for downloading files, which can indicate potential ingress of malicious tools. If confirmed malicious, this activity could lead to unauthorized code execution, data exfiltration, or further compromise of the system. Monitoring and tuning this detection helps identify and differentiate between normal and potentially harmful usage.
The following analytic detects the use of the curl command with specific switches (-O, -sO, -ksO, --output) commonly used to download remote scripts or binaries. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant as it may indicate an attempt to download and execute potentially malicious files, often used in initial stages of an attack. If confirmed malicious, this could lead to unauthorized code execution, enabling attackers to compromise the system further.
The analytic detects the `wermgr.exe` process creating an executable file. This behavior is unusual because `wermgr.exe` is typically associated with error reporting, not file creation. Such activity is significant as it may indicate TrickBot malware, which injects code into `wermgr.exe` to execute malicious actions like downloading additional payloads. If confirmed malicious, this could lead to further malware infections, data exfiltration, or system compromise.
Detects the execution of the `nscurl` utility on macOS with command-line arguments indicative of file download operations. This can be used by adversaries to transfer tools or other files into a compromised environment.
Yara rule that detects AutoColor backdoor.
Detects potentially suspicious file downloads directly from IP addresses and stored in suspicious locations using Wget.exe. This rule looks for executions of 'wget.exe' where the command line includes an IP address, 'http', and specific suspicious paths often used for temporary files or public user directories. This could indicate an adversary downloading malicious tools or files directly to a system.
Detects the execution of 'nimgrab.exe', a tool often bundled with the Nim programming framework and used for downloading files. This activity can indicate an adversary transferring tools or other files into a compromised environment.
Detects the usage of nimgrab, a tool bundled with the Nim programming framework and used for downloading files.
Detects executables located in potentially suspicious directories initiating network connections towards file sharing domains. This behavior can indicate data exfiltration or the staging of malicious tools.
This rule detects a specific command-line execution pattern used by the threat actor 'Lace Tempest' to download 'Cobalt Strike'. The pattern involves PowerShell's 'IEX ((new-object net.webclient).downloadstring(' command, which is commonly used for in-memory execution of downloaded scripts or payloads. The detection specifically looks for the combination of '-nop -w hidden -c IEX ((new-object net.webclient).downloadstring(' and '/a') in the command line, indicating an attempt to download and execute a script, likely a Cobalt Strike payload, as reported by the SysAid Team.
Detects the use of 'IMEWDBLD.exe', a legitimate Microsoft binary, to download arbitrary files from HTTP or HTTPS sources. This technique is often abused by adversaries for ingress tool transfer or to fetch additional malicious payloads, leveraging a trusted binary to bypass defenses.
Detects the creation of 'Autoit3.exe' by uncommon or suspicious processes such as 'curl.exe', 'KeyScramblerLogon.exe', 'ExtExport.exe', or 'wmprph.exe'. This activity is associated with DarkGate malware, which leverages 'Autoit3.exe' to execute shellcode for process injection and C2 communication. The identified parent processes are considered non-standard for creating this executable.
Detects the creation of files by the "node.exe" process within the ".vscode-server" directory, specifically targeting paths related to user history. This activity could indicate remote file creation via the Visual Studio Code tunnel feature, which might be used for unauthorized access or data transfer.
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