cnvd - cnvd-2021-48868

cnvd-2021-48868

Vulnerability from cnvd

Title: Google TensorFlow代码问题漏洞（CNVD-2021-48868）

Description:

Google TensorFlow是美国谷歌（Google）公司的一套用于机器学习的端到端开源平台。

Google TensorFlow 2.4.2，2.3.3，2.2.3，2.1.4存在代码问题漏洞，该漏洞源于tf.raw_ops.FusedBatchNorm通过解引用攻击者提供的空张量的空指针来展示未定义的行为。目前没有详细漏洞细节提供。

Severity: 中

Patch Name: Google TensorFlow代码问题漏洞（CNVD-2021-48868）的补丁

Patch Description:

Google TensorFlow是美国谷歌（Google）公司的一套用于机器学习的端到端开源平台。

Google TensorFlow 2.4.2，2.3.3，2.2.3，2.1.4存在代码问题漏洞，该漏洞源于tf.raw_ops.FusedBatchNorm通过解引用攻击者提供的空张量的空指针来展示未定义的行为。目前没有详细漏洞细节提供。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description:

厂商已发布了漏洞修复程序,请及时关注更新： https://github.com/tensorflow/tensorflow/commit/6972f9dfe325636b3db4e0bc517ee22a159365c0

Reference: https://github.com/tensorflow/tensorflow/commit/6972f9dfe325636b3db4e0bc517ee22a159365c0, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9xh4-23q4-v6wr

Impacted products

Name
['Google TensorFlow 2.4.2', 'Google TensorFlow 2.3.3', 'Google TensorFlow 2.2.3', 'Google TensorFlow 2.1.4']

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      "cveNumber": "CVE-2021-29583",
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CVE-2021-29583 (GCVE-0-2021-29583)

Vulnerability from cvelistv5

Published

2021-05-14 19:15

Modified

2024-08-03 22:11

Severity ?

2.5 (Low) - CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

CWE

CWE-476 - NULL Pointer Dereference

Summary

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.FusedBatchNorm` is vulnerable to a heap buffer overflow. If the tensors are empty, the same implementation can trigger undefined behavior by dereferencing null pointers. The implementation(https://github.com/tensorflow/tensorflow/blob/57d86e0db5d1365f19adcce848dfc1bf89fdd4c7/tensorflow/core/kernels/fused_batch_norm_op.cc) fails to validate that `scale`, `offset`, `mean` and `variance` (the last two only when required) all have the same number of elements as the number of channels of `x`. This results in heap out of bounds reads when the buffers backing these tensors are indexed past their boundary. If the tensors are empty, the validation mentioned in the above paragraph would also trigger and prevent the undefined behavior. 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.

References

▼	URL	Tags
	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9xh4-23q4-v6wr	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/6972f9dfe325636b3db4e0bc517ee22a159365c0	x_refsource_MISC

Impacted products

	Vendor	Product	Version
	tensorflow	tensorflow	Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2

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Sightings

Author	Source	Type	Date

Nomenclature

Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
Confirmed: The vulnerability is confirmed from an analyst perspective.
Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
Patched: This vulnerability was successfully patched by the user reporting the sighting.
Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
Not confirmed: The user expresses doubt about the veracity of the vulnerability.
Not patched: This vulnerability was not successfully patched by the user reporting the sighting.

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