Skip to content
LLMMedium

CVE-2021-29537: TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap …

Occurred
May 14, 2021
Published
May 14, 2021
Source
NVD CVE

Summary

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Tags

  • CVE
  • CVE-2021-29537
  • cvss:LOW

Classification

Category confidence: 85%
Severity confidence: 90%

Rationale: CVE in TensorFlow ML platform, not a direct AI safety incident but a software vulnerability in ML infrastructure.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

Visit source