Cacti is an open-source operational monitoring and fault management framework. The vulnerability identified as CVE-2023-30534 is characterized by two instances of insecure deserialization in Cacti version 1.2.24. This vulnerability is of medium severity, with a CVSS score of 4.3, indicating that while it is not critical, it does pose a risk to users.
The root cause of this issue lies in the use of the unserialize function without proper sanitization of user input. Although Cacti implements a "safe" deserialization method, which attempts to sanitize the content and check for specific values before calling unserialize, it is not utilized in the vulnerable instances. Specifically, the vulnerable code can be found in graphs_new.php, within the host_new_graphs_save function.
Although a viable gadget chain exists in Cacti’s vendor directory (phpseclib), the necessary gadgets are not included, rendering the insecure deserialization instances not exploitable. Users are strongly advised to upgrade to version 1.2.25 to mitigate this vulnerability. Currently, there are no known workarounds for this issue.
Risk to organizations includes potential unauthorized access to critical systems if the vulnerability were to be exploited. Therefore, organizations should prioritize patching immediately.
Vulnerability Details
The official description states that the vulnerability allows for insecure deserialization due to improper handling of user input. This vulnerability is classified under CWE-502, which pertains to deserialization of untrusted data. The impact of this vulnerability is categorized with a CVSS score of 4.3, indicating a medium severity level. This score signifies that the attack vector is network-based, the attack complexity is low, and privileges required to exploit it are also low. The integrity impact is low, while confidentiality and availability impacts are negligible.
Technical Analysis
The root cause of the vulnerability stems from the failure to sanitize user input before calling the unserialize function. This oversight allows for insecure deserialization, which could lead to further vulnerabilities if exploited. The attack vector is classified as network-based, meaning that an attacker could potentially exploit this vulnerability remotely. The complexity of executing such an attack is low, requiring minimal technical expertise. Additionally, the required privileges are low, as a user with limited access could initiate the vulnerable functionality.
User interaction is not needed, which increases the risk of exploitation. The confidentiality impact is rated as low, indicating that sensitive data may be at minimal risk, while integrity and availability impacts are assessed as none. This vulnerability poses a risk to organizations relying on Cacti for operational monitoring.
Risk & Impact Analysis
Organizations using Cacti version 1.2.24 face a medium severity risk due to this vulnerability. The potential blast radius includes any system utilizing this version, especially in environments where network-based attacks are feasible. Given the current CVSS score of 4.3, it is recommended that organizations address this vulnerability in their priority patch cycle.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
Cacti versions prior to 1.2.25 are affected by this vulnerability. Users should ensure they upgrade to the latest version to mitigate this risk.
Mitigation & Remediation
To mitigate the risk associated with CVE-2023-30534, users should upgrade to version 1.2.25. There are no known workarounds for this vulnerability, making it imperative to apply the patch as soon as possible. Organizations may also consider implementing additional network controls and monitoring to detect any anomalous behavior that could indicate exploitation attempts.
Detection Guidance
Organizations should monitor logs for any instances of unauthorized attempts to access the Cacti application, particularly focusing on anomalous inputs that could indicate exploitation of the unserialize function. Behavioral anomalies related to user input handling should also be scrutinized.
AppSecure Threat Intelligence Insight
The long-term significance of CVE-2023-30534 underscores the importance of secure coding practices, particularly concerning user input sanitization. Security teams should prioritize training on secure coding methodologies to prevent similar vulnerabilities from arising in the future. Additionally, organizations are encouraged to maintain an active vulnerability management program to ensure timely updates and patches.
For further insights on enhancing security posture, organizations can explore resources on vulnerability management and consider implementing comprehensive penetration testing strategies to uncover potential weaknesses before they can be exploited.
By understanding the patterns represented in vulnerabilities like CVE-2023-30534, security teams can better prepare for future threats.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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