Vulnerability-Lookup

CNVD-2021-00091

Vulnerability from cnvd - Published: 2021-01-03

Title

Google TensorFlow缓冲区溢出漏洞（CNVD-2021-00091）

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存在缓冲区溢出漏洞，该漏洞源于DataFormatVecPermute API不验证src格式和dst格式属性。攻击者可以利用该漏洞使应用崩溃。

Severity

中

Patch Name

Google TensorFlow缓冲区溢出漏洞（CNVD-2021-00091）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存在缓冲区溢出漏洞，该漏洞源于DataFormatVecPermute API不验证src格式和dst格式属性。攻击者可以利用该漏洞使应用崩溃。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

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://github.com/tensorflow/tensorflow/commit/ebc70b7a592420d3d2f359e4b1694c236b82c7ae

Reference

https://github.com/tensorflow/tensorflow/commit/ebc70b7a592420d3d2f359e4b1694c236b82c7ae

Impacted products

Name
['Google TensorFlow 1.15.5', 'Google TensorFlow 2.0.4', 'Google TensorFlow 2.1.3', 'Google TensorFlow 2.2.2', 'Google TensorFlow 2.3.2', 'Google TensorFlow 2.4.0']

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-26267",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-26267"
    }
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  "description": "Google TensorFlow\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u7684\u4e00\u5957\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u7aef\u5230\u7aef\u5f00\u6e90\u5e73\u53f0\u3002\n\nGoogle TensorFlow\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eDataFormatVecPermute API\u4e0d\u9a8c\u8bc1src\u683c\u5f0f\u548cdst\u683c\u5f0f\u5c5e\u6027\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u4f7f\u5e94\u7528\u5d29\u6e83\u3002",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-00091",
  "openTime": "2021-01-03",
  "patchDescription": "Google TensorFlow\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u7684\u4e00\u5957\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u7aef\u5230\u7aef\u5f00\u6e90\u5e73\u53f0\u3002\r\n\r\nGoogle TensorFlow\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eDataFormatVecPermute API\u4e0d\u9a8c\u8bc1src\u683c\u5f0f\u548cdst\u683c\u5f0f\u5c5e\u6027\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u4f7f\u5e94\u7528\u5d29\u6e83\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Google TensorFlow\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2021-00091\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Google TensorFlow 1.15.5",
      "Google TensorFlow 2.0.4",
      "Google TensorFlow 2.1.3",
      "Google TensorFlow 2.2.2",
      "Google TensorFlow 2.3.2",
      "Google TensorFlow 2.4.0"
    ]
  },
  "referenceLink": "https://github.com/tensorflow/tensorflow/commit/ebc70b7a592420d3d2f359e4b1694c236b82c7ae",
  "serverity": "\u4e2d",
  "submitTime": "2020-12-15",
  "title": "Google TensorFlow\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2021-00091\uff09"
}

CVE-2020-26267 (GCVE-0-2020-26267)

Vulnerability from cvelistv5 – Published: 2020-12-10 22:10 – Updated: 2024-08-04 15:56

Title

Lack of validation in data format attributes in TensorFlow

Summary

In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

Severity

4.4 (Medium)


                        
                          CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L

CWE

CWE-125 - Out-of-bounds Read

Assigner

GitHub_M mitre root

References

2 references

URL	Tags
https://github.com/tensorflow/tensorflow/security…	x_refsource_CONFIRM
https://github.com/tensorflow/tensorflow/commit/e…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
tensorflow	tensorflow	Affected: < 1.15.5 Affected: >= 2.0.0, < 2.0.4 Affected: >= 2.1.0, < 2.1.3 Affected: >= 2.2.0, < 2.2.2 Affected: >= 2.3.0, < 2.3.2

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            "url": "https://github.com/tensorflow/tensorflow/commit/ebc70b7a592420d3d2f359e4b1694c236b82c7ae"
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        ],
        "title": "CVE Program Container"
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              "status": "affected",
              "version": "\u003e= 2.2.0, \u003c 2.2.2"
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              "status": "affected",
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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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CNVD-2021-00091

CVE-2020-26267 (GCVE-0-2020-26267)

Tags

Sightings

Nomenclature

Related by attack behaviour