Splunk Security
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The following analytic detects an anomaly where an svchost.exe process is spawned by a parent process other than the standard services.exe. In a typical Windows environment, svchost.exe is a system process that hosts Windows service DLLs, and is expected to be a child of services.exe. A process deviation from this hierarchy may indicate suspicious behavior, such as malicious code attempting to masquerade as a legitimate system process or evade detection. It is essential to investigate the parent process and associated behavior for further signs of compromise or unauthorized activity.
The analytic detects potential WMI token impersonation activities where `wmiprvse.exe` obtains duplicate or full granted access to another process. This behavior is commonly observed in malware, such as Qakbot, for privilege escalation and defense evasion. Successful exploitation could lead to elevated privileges and persistence within the environment.
This analytic detects the use of WMIC to delete volume shadow copies, which is a common technique used by ransomware actors to prevent system recovery. Ransomware like Cactus often delete shadow copies before encrypting files to ensure victims cannot recover their data without paying the ransom. This behavior is particularly concerning as it indicates potential ransomware activity or malicious actors attempting to prevent system recovery.
The analytic identifies the use of SNICat tool commands within the TLS SNI field, indicating potential data exfiltration attempts. It leverages Zeek SSL data to detect specific SNICat commands such as LIST, LS, SIZE, LD, CB, EX, ALIVE, EXIT, WHERE, and finito in the server_name field. This activity is significant as SNICat is a known tool for covert data exfiltration using TLS. If confirmed malicious, this could allow attackers to exfiltrate sensitive data undetected, posing a severe threat to data confidentiality and integrity.
The following analytic identifies attempts to exploit a critical template injection vulnerability (CVE-2023-22527) in outdated Confluence Data Center and Server versions. It detects POST requests to the "/template/aui/text-inline.vm" endpoint with HTTP status codes 200 or 202, indicating potential OGNL injection attacks. This activity is significant as it allows unauthenticated attackers to execute arbitrary code remotely. If confirmed malicious, attackers could gain full control over the affected Confluence instance, leading to data breaches, system compromise, and further network infiltration. Immediate patching is essential to mitigate this threat.
This analytic identifies a Java user agent performing a GET request for a .class file from a remote site. This behavior is significant as it may indicate exploitation attempts, such as those related to CVE-2021-44228 (Log4Shell). If confirmed malicious, an attacker could exploit vulnerabilities in the Java application, potentially leading to remote code execution and further compromise of the affected system.
This analytic detects Log4Shell JNDI payload injections via outbound connections. It identifies suspicious LDAP lookup functions in web logs, such as `${jndi:ldap://PAYLOAD_INJECTED}`, and correlates them with network traffic to known malicious IP addresses. This detection leverages web and network traffic data to identify attempts to exploit the Log4j vulnerability (CVE-2021-44228), which could lead to remote code execution and system compromise.
The analytic identifies HTTP POST requests to the Spring Cloud Function endpoint containing "functionRouter" in the URL. This activity targets CVE-2022-22963, a known vulnerability in Spring Cloud Function, which has multiple proof-of-concept exploits available. If confirmed malicious, this activity could allow attackers to execute arbitrary code, potentially leading to unauthorized access, data exfiltration, or further compromise of the affected system.
The analytic detects potential Remote Code Execution (RCE) attempts exploiting CVE-2023-40044 in WS_FTP software. It identifies HTTP POST requests to the "/AHT/AhtApiService.asmx/AuthUser" URL with a status code of 200. This activity is significant as it may indicate an exploitation attempt, potentially allowing an attacker to execute arbitrary code on the server. If confirmed malicious, this could lead to unauthorized access, data exfiltration, or further compromise of the affected system.
The following analytic identifies successful single-factor authentication events against the Okta Dashboard for accounts without Multi-Factor Authentication (MFA) enabled. It detects this activity by analyzing Okta logs for successful authentication events where "Okta Verify" is not used. This behavior is significant as it may indicate a misconfiguration, policy violation, or potential account takeover. If confirmed malicious, an attacker could gain unauthorized access to the account, potentially leading to data breaches or further exploitation within the environment.
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