CVE-2021-29548 — Divide By Zero in Tensorflow

CWE-369 — Divide By Zero6 documents5 sources
Severity
5.5MEDIUMNVD
CNA2.5
EPSS
0.0%
top 97.19%
CISA KEV
Not in KEV
Exploit
No known exploits
Affected products
3
TensorflowGoogle TensorflowIntel Optimization FOR Tensorflow
Timeline
PublishedMay 14
Latest updateMay 21

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service 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) does not validate all constraints specified in the op's contract(https://www.tensorflow.org/api_docs/python/tf/raw_ops/…

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/tensorflow2.2.0 — 2.2.3+3
▶CVEListV5tensorflow/tensorflow< 2.1.4+3
▶PyPIintel/optimization_for_tensorflow2.2.0 — 2.2.3+4

Patches

Patch: github.com ↗Patch: github.com ↗Patch: github.com ↗

🔴Vulnerability Details

4
OSV
Division by 0 in `QuantizedBatchNormWithGlobalNormalization`↗2021-05-21
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GHSA
Division by 0 in `QuantizedBatchNormWithGlobalNormalization`↗2021-05-21
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CVEList
Division by 0 in `QuantizedBatchNormWithGlobalNormalization`↗2021-05-14
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OSV
CVE-2021-29548: TensorFlow is an end-to-end open source platform for machine learning↗2021-05-14
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📋Vendor Advisories

1
Debian
CVE-2021-29548: tensorflow - TensorFlow is an end-to-end open source platform for machine learning. An attack...↗2021
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CVE-2021-29548 — Divide By Zero in Tensorflow | cvebase