SamSam Ransomware

• File with Samsam Extension :
  endpoint Endpoint risk_score:90 2024-09-30 version:4
  The following analytic detects file writes with extensions indicative of a SamSam ransomware attack. It leverages file-system activity data to identify file names ending in .stubbin, .berkshire, .satoshi, .sophos, or .keyxml. This activity is significant because SamSam ransomware is highly destructive, leading to file encryption and ransom demands. If confirmed malicious, the impact includes significant financial losses, operational disruptions, and reputational damage. Immediate actions should include isolating affected systems, restoring files from backups, and investigating the attack source to prevent further incidents.


• Detect attackers scanning for vulnerable JBoss servers :
  network Web Server risk_score:25 2024-10-17 version:3
  The following analytic identifies specific GET or HEAD requests to web servers that indicate reconnaissance attempts to find vulnerable JBoss servers. It leverages data from the Web data model, focusing on HTTP methods and URLs associated with JBoss management interfaces. This activity is significant because it often precedes exploitation attempts using tools like JexBoss, which can compromise the server. If confirmed malicious, attackers could gain unauthorized access, execute arbitrary code, or escalate privileges, leading to potential data breaches and system compromise.


• Remote Desktop Network Traffic :
  network Endpoint risk_score:25 2024-10-16 version:7
  The following analytic detects unusual Remote Desktop Protocol (RDP) traffic on TCP/3389 by filtering out known RDP sources and destinations, focusing on atypical connections within the network. This detection leverages network traffic data to identify potentially unauthorized RDP access. Monitoring this activity is crucial for a SOC as unauthorized RDP access can indicate an attacker's attempt to control networked systems, leading to data theft, ransomware deployment, or further network compromise. If confirmed malicious, this activity could result in significant data breaches or complete system and network control loss.


• Detect PsExec With accepteula Flag :
  endpoint Endpoint risk_score:35 2024-09-30 version:7
  The following analytic identifies the execution of `PsExec.exe` with the `accepteula` flag in the command line. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs and command-line arguments. This activity is significant because PsExec is commonly used by threat actors to execute code on remote systems, and the `accepteula` flag indicates first-time usage, which could signify initial compromise. If confirmed malicious, this activity could allow attackers to gain remote code execution capabilities, potentially leading to further system compromise and lateral movement within the network.


• Samsam Test File Write :
  endpoint Endpoint risk_score:12 2024-09-30 version:3
  The following analytic detects the creation of a file named "test.txt" within the Windows system directory, indicative of Samsam ransomware propagation. It leverages file-system activity data from the Endpoint data model, specifically monitoring file paths within the Windows System32 directory. This activity is significant as it aligns with known Samsam ransomware behavior, which uses such files for propagation and execution. If confirmed malicious, this could lead to ransomware deployment, resulting in data encryption, system disruption, and potential data loss. Immediate investigation and remediation are crucial to prevent further damage.


• Batch File Write to System32 :
  endpoint Endpoint risk_score:63 2024-11-28 version:7
  The following analytic detects the creation of a batch file (.bat) within the Windows system directory tree, specifically in the System32 or SysWOW64 folders. It leverages data from the Endpoint datamodel, focusing on process and filesystem events to identify this behavior. This activity is significant because writing batch files to system directories can be indicative of malicious intent, such as persistence mechanisms or system manipulation. If confirmed malicious, this could allow an attacker to execute arbitrary commands with elevated privileges, potentially compromising the entire system.


• Detect Renamed PSExec :
  endpoint Endpoint risk_score:27 2024-10-17 version:8
  The following analytic identifies instances where `PsExec.exe` has been renamed and executed on an endpoint. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and original file names. This activity is significant because renaming `PsExec.exe` is a common tactic to evade detection. If confirmed malicious, this could allow an attacker to execute commands remotely, potentially leading to unauthorized access, lateral movement, or further compromise of the network.


• Attacker Tools On Endpoint :
  endpoint Endpoint risk_score:64 2024-11-28 version:6
  The following analytic detects the execution of tools commonly exploited by cybercriminals, such as those used for unauthorized access, network scanning, or data exfiltration. It leverages process activity data from Endpoint Detection and Response (EDR) agents, focusing on known attacker tool names. This activity is significant because it serves as an early warning system for potential security incidents, enabling prompt response. If confirmed malicious, this activity could lead to unauthorized access, data theft, or further network compromise, posing a severe threat to the organization's security infrastructure.


• Prohibited Software On Endpoint :
  endpoint Endpoint risk_score:25 2024-10-17 version:4
  This search looks for applications on the endpoint that you have marked as prohibited.


• Remote Desktop Network Bruteforce :
  network Endpoint risk_score:25 2024-10-16 version:5
  The following analytic identifies potential Remote Desktop Protocol (RDP) brute force attacks by monitoring network traffic for RDP application activity. It detects anomalies by filtering source and destination pairs that generate traffic exceeding twice the standard deviation of the average traffic. This method leverages the Network_Traffic data model to identify unusual patterns indicative of brute force attempts. This activity is significant as it may indicate an attacker attempting to gain unauthorized access to systems via RDP. If confirmed malicious, this could lead to unauthorized access, data exfiltration, or further network compromise.


• Common Ransomware Extensions :
  endpoint Endpoint risk_score:90 2024-12-12 version:8
  The following analytic detects modifications to files with extensions commonly associated with ransomware. It leverages the Endpoint.Filesystem data model to identify changes in file extensions that match known ransomware patterns. This activity is significant because it suggests an attacker is attempting to encrypt or alter files, potentially leading to severe data loss and operational disruption. If confirmed malicious, this activity could result in the encryption of critical data, rendering it inaccessible and causing significant damage to the organization's data integrity and availability.


• Common Ransomware Notes :
  endpoint Endpoint risk_score:90 2024-10-17 version:6
  The following analytic detects the creation of files with names commonly associated with ransomware notes. It leverages file-system activity data from the Endpoint Filesystem data model, typically populated by endpoint detection and response (EDR) tools or Sysmon logs. This activity is significant because ransomware notes indicate a potential ransomware attack, which can lead to data encryption and extortion. If confirmed malicious, this activity could result in significant data loss, operational disruption, and financial impact due to ransom demands.


• Deleting Shadow Copies :
  endpoint Endpoint risk_score:81 2024-11-28 version:8
  The following analytic detects the deletion of shadow copies using the vssadmin.exe or wmic.exe utilities. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant because deleting shadow copies is a common tactic used by attackers to prevent recovery and hide their tracks. If confirmed malicious, this action could hinder incident response efforts and allow attackers to maintain persistence and cover their activities, making it crucial for security teams to investigate promptly.


• Detect malicious requests to exploit JBoss servers :
  network Web Server risk_score:25 2024-10-17 version:3
  The following analytic identifies malicious HTTP requests targeting the jmx-console in JBoss servers. It detects unusually long URLs, indicative of embedded payloads, by analyzing web server logs for GET or HEAD requests with specific URL patterns and lengths. This activity is significant as it may indicate an attempt to exploit JBoss vulnerabilities, potentially leading to unauthorized remote code execution. If confirmed malicious, attackers could gain control over the server, escalate privileges, and compromise sensitive data, posing a severe threat to the organization's security.


• Spike in File Writes :
  endpoint Endpoint risk_score:25 2024-10-17 version:5
  The following analytic detects a sharp increase in the number of files written to a specific host. It leverages the Endpoint.Filesystem data model, focusing on 'created' actions and comparing current file write counts against historical averages and standard deviations. This activity is significant as a sudden spike in file writes can indicate malicious activities such as ransomware encryption or data exfiltration. If confirmed malicious, this behavior could lead to significant data loss, system compromise, or further propagation of malware within the network.