CVE-2021-29535
Summary
| CVE | CVE-2021-29535 |
|---|
| State | PUBLIC |
|---|
| Assigner | [email protected] |
|---|
| Source Priority | CVE Program / NVD first with legacy fallback |
|---|
| Published | 2021-05-14 20:15:00 UTC |
|---|
| Updated | 2021-07-26 16:02:00 UTC |
|---|
| Description | TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedMul` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/87cf4d3ea9949051e50ca3f071fc909538a51cd0/tensorflow/core/kernels/quantized_mul_op.cc#L287-L290) assumes that the 4 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then `.flat<T>()` is an empty buffer and accessing the element at position 0 results in overflow. 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. |
|---|
NVD Known Affected Configurations (CPE 2.3)
References
| Reference | Source | Link | Tags |
|---|
| Validate inputs to `QuantizedMul` · tensorflow/tensorflow@efea03b · GitHub |
MISC |
github.com |
|
| Heap buffer overflow in `QuantizedMul` · Advisory · tensorflow/tensorflow · GitHub |
CONFIRM |
github.com |
|
| CVE Program record |
CVE.ORG |
www.cve.org |
canonical |
| NVD vulnerability detail |
NVD |
nvd.nist.gov |
canonical, analysis |
No vendor comments have been submitted for this CVE.
Legacy QID Mappings
- 982513 Python (pip) Security Update for tensorflow-gpu (GHSA-m3f9-w3p3-p669)
