Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/26003593aa94b1742f34dc22ce88a1e17776a67d/tensorflow/core/kernels/dequantize_op.cc#L106-L131) accesses the `min_range` and `max_range` tensors in parallel but fails to check that they have the same shape. 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.
CVSS Score
LOW
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.1.4 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/5899741d0421391ca878da47907b1452PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c45w-2wxr-pp53ExploitPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/5899741d0421391ca878da47907b1452PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c45w-2wxr-pp53ExploitPatchThird Party Advisory
FAQ
What is CVE-2021-29582?
CVE-2021-29582 is a vulnerability with a CVSS score of 2.5 (LOW). TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.Dequantize`, an attacker can trigger a read from outside of bounds of heap allocated dat...
How severe is CVE-2021-29582?
CVE-2021-29582 has been rated LOW with a CVSS base score of 2.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2021-29582?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.