CVE-2021-37677 — Improper Input Validation in Tensorflow

CWE-20 — Improper Input ValidationCWE-1284 — Improper Validation of Specified Quantity in Input6 documents5 sources
Severity
5.5MEDIUMNVD
EPSS
0.0%
top 99.16%
CISA KEV
Not in KEV
Exploit
No known exploits
Affected products
3
TensorflowGoogle TensorflowIntel Optimization FOR Tensorflow
Timeline
PublishedAug 12
Latest updateAug 25

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank`…

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/tensorflow2.3.0 — 2.3.4+3
▶CVEListV5tensorflow/tensorflow< 2.3.4+2
▶PyPIintel/optimization_for_tensorflow2.3.0 — 2.3.4+4

Patches

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

🔴Vulnerability Details

4
OSV
Missing validation in shape inference for `Dequantize`↗2021-08-25
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GHSA
Missing validation in shape inference for `Dequantize`↗2021-08-25
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OSV
CVE-2021-37677: TensorFlow is an end-to-end open source platform for machine learning↗2021-08-12
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CVEList
Missing validation in shape inference for `Dequantize` in TensorFlow↗2021-08-12
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📋Vendor Advisories

1
Debian
CVE-2021-37677: tensorflow - TensorFlow is an end-to-end open source platform for machine learning. In affect...↗2021
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CVE-2021-37677 — Improper Input Validation | cvebase