Panda3D versions up to and including 1.10.16 deploy-stub contains a denial of service vulnerability due to unbounded stack allocation. The deploy-stub executable allocates argv_copy and argv_copy2 using alloca() based directly on the attacker-controlled argc value without validation. Supplying a large number of command-line arguments can exhaust stack space and propagate uninitialized stack memory into Python interpreter initialization, resulting in a reliable crash and undefined behavior.
This vulnerability allows an attacker to disrupt the normal functioning of the application, leading to potential service downtime. The CVSS score of 6.9 indicates a medium severity level, which requires organizations to prioritize patching in their security management processes.
Risk to organizations includes potential downtime and service disruptions that could affect user experience and operational integrity. Organizations should prioritize patching immediately.
As of the latest data, there is no known public exploit for this vulnerability, and it has not been included in the Known Exploited Vulnerabilities (KEV) catalog.
Vulnerability Details
The Panda3D vulnerability allows for a denial of service due to unbounded stack allocation. Specifically, the deploy-stub executable fails to validate the input arguments, leading to potential crashes and undefined behavior. The vulnerability has a CVSS 4.0 score of 6.9, categorized as medium severity, indicating it could significantly impact availability.
The vulnerability affects versions of Panda3D up to and including 1.10.16. It was published on January 7, 2026, and is classified under the Common Weakness Enumeration (CWE) as CWE-457, CWE-789, and CWE-908.
Technical Analysis
The root cause of this vulnerability lies in the use of alloca() for stack allocation based on user-controlled input without validation. This can lead to stack exhaustion when a large number of command-line arguments are provided. The attack vector is local, requiring no special privileges or user interaction.
Attack complexity is low, making it easier for attackers to exploit this vulnerability if they can execute code on the target system. The potential impacts include high availability impact; however, there is no confidentiality or integrity impact. The attacker does not require any privileges, and the attack does not necessitate user interaction.
Risk & Impact Analysis
Real-world deployment risk for this vulnerability includes service disruptions leading to a potential loss of user trust and operational integrity. The blast radius may be significant if the application is widely used, affecting multiple users simultaneously.
Organizations should assess their exposure and prioritize remediation efforts based on the medium severity rating. Given that there are no known active exploits, organizations should still act to mitigate potential risks.
Urgency for patching is medium, but organizations should schedule remediation promptly to avoid any service disruptions that may arise from this vulnerability.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The vulnerability affects all versions of Panda3D prior to version 1.10.17. Organizations should ensure they are using the latest version to mitigate this risk.
Mitigation & Remediation
Organizations should patch to version 1.10.17 or later as soon as possible. In addition, consider implementing input validation to limit the number of command-line arguments that can be processed.
In cases where immediate patching is not feasible, organizations should apply configuration hardening and monitor applications for unusual behavior.
For further assistance, organizations can consider engaging in penetration testing services to identify and remediate vulnerabilities.
Detection Guidance
To detect potential exploitation attempts, organizations should monitor logs for abnormal command-line argument patterns and crashes related to the Panda3D application.
Behavioral anomalies such as unexpected application termination or stack overflow errors should be investigated promptly.
AppSecure Threat Intelligence Insight
The long-term significance of this vulnerability highlights the importance of input validation and memory management in application development. Organizations should implement regular security assessments to identify such weaknesses proactively.
Security teams should also consider educational programs to raise awareness about secure coding practices that can prevent similar vulnerabilities.
For more information on securing applications, organizations can refer to our comprehensive guides on penetration testing methodology and vulnerability management strategies.
Finally, organizations should remain vigilant and continuously monitor for emerging threats that could exploit similar weaknesses.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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