cnvd - cnvd-2021-48869

cnvd-2021-48869

Vulnerability from cnvd

Title: Google TensorFlow缓冲区溢出漏洞（CNVD-2021-48869）

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 存在缓冲区溢出漏洞，该漏洞源于RaggedBincount的split参数未指定一个有效的SparseTensor ，攻击者可利用该漏洞导致堆缓冲区溢出。

Severity: 中

Patch Name: Google TensorFlow缓冲区溢出漏洞（CNVD-2021-48869）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 存在缓冲区溢出漏洞，该漏洞源于RaggedBincount的split参数未指定一个有效的SparseTensor ，攻击者可利用该漏洞导致堆缓冲区溢出。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/eebb96c2830d48597d055d247c0e9aebaea94cd5

Reference: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4278-2v5v-65r4, https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5

Impacted products

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

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2021-29512",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-29512"
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  "number": "CNVD-2021-48869",
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}

CVE-2021-29512 (GCVE-0-2021-29512)

Vulnerability from cvelistv5

Published

2021-05-14 18:55

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-120 - Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')

Summary

TensorFlow is an end-to-end open source platform for machine learning. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.

References

▼	URL	Tags
	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4278-2v5v-65r4	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5	x_refsource_MISC

Impacted products

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

Show details on NVD website

JSON

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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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