CVE-2023-52308 in Paddle
Summary
by MITRE • 01/03/2024
FPE in paddle.amin in PaddlePaddle before 2.6.0. This flaw can cause a runtime crash and a denial of service.
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Analysis
by VulDB Data Team • 01/23/2024
The vulnerability identified as CVE-2023-52308 represents a floating point exception within the paddle.amin function of PaddlePaddle machine learning framework versions prior to 2.6.0. This issue manifests as a runtime crash that can lead to complete system denial of service, making it a critical concern for any environment relying on this deep learning platform for computational tasks. The flaw specifically impacts the mathematical operations performed by the amin function which is designed to compute the minimum value along specified axes of tensors. When processing certain input configurations, the function encounters invalid floating point operations that trigger system-level exceptions.
This vulnerability falls under the category of software fault injection and can be classified as CWE-191, Integer Underflow (Wrap or Wraparound), or more specifically CWE-190, Integer Overflow or Wraparound, depending on the exact nature of the arithmetic operations involved. The operational impact extends beyond simple crashes as it affects the stability and reliability of machine learning workflows that depend on PaddlePaddle's tensor operations. When the floating point exception occurs during execution, it typically results in an immediate termination of the process, preventing any further computation and potentially causing cascading failures in dependent systems.
The attack surface for this vulnerability is particularly significant in production environments where PaddlePaddle is used for model training, inference, or distributed computing tasks. Systems utilizing this framework for automated processing pipelines or real-time applications face the highest risk of disruption. The denial of service aspect means that adversaries could potentially exploit this weakness to disrupt services by providing malicious input data that triggers the specific execution path leading to the floating point exception. This type of vulnerability aligns with ATT&CK technique T1499.004, Network Denial of Service, when the crash results in service unavailability.
Organizations using affected versions of PaddlePaddle should prioritize immediate patching to version 2.6.0 or later where the floating point exception handling has been corrected. Additionally, implementing input validation and sanitization measures can provide temporary mitigation while awaiting the official update. The fix likely involves proper bounds checking and exception handling within the amin function to prevent invalid arithmetic operations from propagating to system-level exceptions. Security monitoring should be enhanced to detect unusual process termination patterns that may indicate exploitation attempts, and system administrators should implement robust error handling procedures to maintain service availability during potential attack scenarios.