CVE-2021-29547Out-of-bounds Read in Tensorflow

CWE-125Out-of-bounds Read6 documents5 sources
Severity
5.5MEDIUMNVD
CNA2.5
EPSS
0.0%
top 97.19%
CISA KEV
Not in KEV
Exploit
No known exploits
Timeline
PublishedMay 14
Latest updateMay 21

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a segfault and denial of service via accessing data outside of bounds in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc#L176-L189) assumes the inputs are not empty. If any of these inputs is empty, `.flat()` is an empty buffe

CVSS vector

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HExploitability: 1.8 | Impact: 3.6

Affected Packages3 packages

NVDgoogle/tensorflow2.2.02.2.3+3
CVEListV5tensorflow/tensorflow< 2.1.4+3
PyPIintel/optimization_for_tensorflow2.2.02.3.0rc0+8

Patches

🔴Vulnerability Details

4
OSV
Heap out of bounds in `QuantizedBatchNormWithGlobalNormalization`2021-05-21
GHSA
Heap out of bounds in `QuantizedBatchNormWithGlobalNormalization`2021-05-21
OSV
CVE-2021-29547: TensorFlow is an end-to-end open source platform for machine learning2021-05-14
CVEList
Heap out of bounds in `QuantizedBatchNormWithGlobalNormalization`2021-05-14

📋Vendor Advisories

1
Debian
CVE-2021-29547: tensorflow - TensorFlow is an end-to-end open source platform for machine learning. An attack...2021
CVE-2021-29547 — Out-of-bounds Read in Tensorflow | cvebase