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Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic detects attempts to exploit CVE-2022-26134, an unauthenticated remote code execution vulnerability in Confluence. It leverages the Web datamodel to analyze network and CIM-compliant web logs, identifying suspicious URL patterns and parameters indicative of exploitation attempts. This activity is significant as it allows attackers to execute arbitrary code on the Confluence server without authentication, potentially leading to full system compromise. If confirmed malicious, this could result in unauthorized access, data exfiltration, and further lateral movement within the network. Immediate investigation and remediation are crucial to prevent extensive damage.
The analytic detects the Java process writing a .jsp file to disk, which may indicate a web shell being deployed. This activity is significant because web shells can provide attackers with remote control over the compromised server, leading to further exploitation. If confirmed malicious, this could allow unauthorized access, data exfiltration, or further compromise of the affected system, posing a severe security risk.
Detects attempts to exploit Java-based web applications by identifying common payload strings often used in vulnerabilities like those affecting Confluence (CVE-2022-26134, CVE-2021-26084) and other Java deserialization or expression language injection flaws. The rule looks for specific patterns in web access logs that indicate the presence of Java code execution attempts, such as references to Java classes, runtime execution commands, and encoded characters often used in exploit payloads.
Detects potential OGNL Injection exploitation attempts in JVM-based applications, which could lead to Remote Code Execution (RCE). This rule specifically looks for error messages indicating OGNL parsing failures, such as 'org.apache.commons.ognl.OgnlException' or 'ExpressionSyntaxException', which are common indicators when an attacker attempts to inject malicious OGNL expressions. This type of vulnerability has been exploited in high-profile cases like Apache Struts (CVE-2017-5638) and Confluence (CVE-2022-26134).
Detects the spawning of suspicious child processes by an Atlassian Confluence server, specifically looking for shell interpreters (sh, bash, dash, ksh, zsh, csh, fish), curl, wget, or python being executed as child processes of the Confluence Java process. This behavior is indicative of successful exploitation of CVE-2022-26134, a critical remote code execution vulnerability in Atlassian Confluence. The rule focuses on the post-exploitation phase where an attacker would execute commands on the compromised server.
Detects potential OGNL Injection exploitation, which may lead to RCE.
OGNL is an expression language that is supported in many JVM based systems.
OGNL Injection is the reason for some high profile RCE's such as Apache Struts (CVE-2017-5638) and Confluence (CVE-2022-26134)
OGNL is an expression language that is supported in many JVM based systems.
OGNL Injection is the reason for some high profile RCE's such as Apache Struts (CVE-2017-5638) and Confluence (CVE-2022-26134)
Java Payload Strings
Sigma
Detects possible Java payloads in web access logs