CVE-2026-42627
MediumCVSS 6.2Exploitation Probability (EPSS)
Low risk3th percentile - higher than 3% of all known CVEs
Summary
Vulnerability in Arm ArmNN through 2026-03-27. An integer overflow in TensorShape::GetNumElements() allows bypassing buffer size validation and heap-based buffer over-read.
Risk Assessment
An attacker can supply a crafted TFLite model that causes a crash or potentially arbitrary code execution in the context of the ArmNN process.
Recommendation
Update ArmNN to the latest version containing the fix.
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Original NVD description (English source)
In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements() in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions using 32-bit unsigned arithmetic without overflow detection, causing GetNumBytes() to return an understated allocation size. During Optimize()->InferOutputShapes(), the BatchToSpaceNdLayer reads beyond the allocated buffer.
Vulnerability data from NVD (NIST) · CISA KEV · EPSS

