CVE-2026-22188
Unbounded Stack Allocation DoS in Panda3D deploy-stub
Publication date: 2026-01-07
Last updated on: 2026-01-07
Assigner: VulnCheck
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| panda3d | panda3d | to 1.10.16 (inc) |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-789 | The product allocates memory based on an untrusted, large size value, but it does not ensure that the size is within expected limits, allowing arbitrary amounts of memory to be allocated. |
| CWE-457 | The code uses a variable that has not been initialized, leading to unpredictable or unintended results. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
CVE-2026-22188 is a denial of service vulnerability in Panda3D versions up to 1.10.16, specifically in the deploy-stub executable. The issue arises because the deploy-stub uses the alloca() function to allocate stack memory for argv_copy and argv_copy2 based directly on the attacker-controlled argc value without any validation or bounds checking. This allows an attacker to supply a large number of command-line arguments, which exhausts the stack space and causes uninitialized stack memory to propagate into the Python interpreter initialization. This leads to reliable crashes, undefined behavior, and memory corruption during the initialization of the Python interpreter within deploy-stub. [2, 3]
How can this vulnerability impact me? :
This vulnerability can cause a denial of service (DoS) by crashing the deploy-stub executable reliably. By supplying a large number of command-line arguments, an attacker can exhaust the stack space, leading to stack exhaustion and use of uninitialized memory. This results in memory corruption, undefined behavior, and a crash of the Panda3D deploy-stub process. The impact is local and does not require authentication, but it can disrupt the normal operation of applications using Panda3D's deploy-stub. [2, 3]
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by attempting to run the vulnerable deploy-stub executable with a large number of command-line arguments to observe if it crashes or exhibits undefined behavior. For example, you can execute a command like `./deploy-stub $(printf 'A %.0s' {1..50000})` to trigger the stack exhaustion and check for a denial of service or crash. Monitoring for crashes or abnormal behavior of deploy-stub when processing many arguments can indicate the presence of this vulnerability. [3]
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include avoiding the use of the vulnerable deploy-stub executable with untrusted or large numbers of command-line arguments. Restrict or sanitize input to ensure that the number of arguments passed to deploy-stub is within safe limits. Additionally, updating Panda3D to a version later than 1.10.16 where this vulnerability is fixed (if available) is recommended. If an update is not immediately possible, consider applying any available patches or workarounds provided by the Panda3D community or maintainers. [2, 3]