CVE-2026-22188: Panda3D <= 1.10.16 Deploy-Stub Stack Exhaustion via Unbounded alloca()

Published Jan 7, 2026
·
Updated

The deploy-stub component in Panda3D versions up to and including 1.10.16 contains a denial of service vulnerability due to unbounded stack allocation. The deploy-stub executable allocates argvcopy and argvcopy2 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.

Affected Software

2 affected components
pypi/panda3d<=1.10.16
cmu Panda3d<=1.10.16

Remediation

Recommended actions to resolve this vulnerability, in priority order.

  1. Upgrade

    Upgrade Panda3D deploy-stub to a version that resolves this vulnerability.

    Fixed in 1.10.16

Event History

Jan 7, 2026
CVE Published
via MITRE·08:26 PM
Data Sourced
via MITRE·08:26 PM
DescriptionWeakness
Data Sourced
via NVD·09:16 PM
DescriptionSeverityWeaknessAffected Software
Aug 28, 58046
Event
via FIRST·10:35 PM

Frequently Asked Questions

1

What is the severity of CVE-2026-22188?

CVE-2026-22188 has a severe denial of service vulnerability due to unbounded stack allocation.

2

How does CVE-2026-22188 affect Panda3D users?

CVE-2026-22188 affects users of Panda3D versions up to and including 1.10.16, allowing potential denial of service attacks.

3

How do I fix CVE-2026-22188?

To fix CVE-2026-22188, users should upgrade to a version of Panda3D that is higher than 1.10.16.

4

What is the cause of CVE-2026-22188?

CVE-2026-22188 is caused by the deploy-stub executable's use of unvalidated attacker-controlled argc for stack allocation.

5

Can CVE-2026-22188 be exploited remotely?

Yes, CVE-2026-22188 can potentially be exploited remotely if an attacker can manipulate input to the vulnerable deploy-stub.

Contact

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