cnvd - cnvd-2021-63064

cnvd-2021-63064

Vulnerability from cnvd

Title: Google TensorFlow TFLite拒绝服务漏洞（CNVD-2021-63064）

Description:

Google TensorFlow是一个端到端开源机器学习平台。

Google TensorFlow TFLite存在安全漏洞。攻击者可利用该漏洞导致拒绝服务。

Severity: 中

Patch Name: Google TensorFlow TFLite拒绝服务漏洞（CNVD-2021-63064）的补丁

Patch Description:

Google TensorFlow是一个端到端开源机器学习平台。

Google TensorFlow TFLite存在安全漏洞。攻击者可利用该漏洞导致拒绝服务。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/security/advisories/GHSA-mhhc-q96p-mfm9

Reference: https://nvd.nist.gov/vuln/detail/CVE-2021-37686

Impacted products

Name
Google TensorFlow <2.6.0

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2021-37686",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-37686"
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  "number": "CNVD-2021-63064",
  "openTime": "2021-08-12",
  "patchDescription": "Google TensorFlow\u662f\u4e00\u4e2a\u7aef\u5230\u7aef\u5f00\u6e90\u673a\u5668\u5b66\u4e60\u5e73\u53f0\u3002\r\n\r\nGoogle TensorFlow TFLite\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\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",
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  "products": {
    "product": "Google TensorFlow \u003c2.6.0"
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  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-37686",
  "serverity": "\u4e2d",
  "submitTime": "2021-08-13",
  "title": "Google TensorFlow TFLite\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2021-63064\uff09"
}

CVE-2021-37686 (GCVE-0-2021-37686)

Vulnerability from cvelistv5

Published

2021-08-12 21:55

Modified

2024-11-13 21:20

Severity ?

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

CWE

CWE-835 - Loop with Unreachable Exit Condition ('Infinite Loop')

Summary

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for [ellipsis in axis definition](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/strided_slice.cc#L103-L122). An attacker can craft a model such that `ellipsis_end_idx` is smaller than `i` (e.g., always negative). In this case, the inner loop does not increase `i` and the `continue` statement causes execution to skip over the preincrement at the end of the outer loop. We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695. TensorFlow 2.6.0 is the only affected version.

References

▼	URL	Tags
	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mhhc-q96p-mfm9	x_refsource_CONFIRM
	https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695	x_refsource_MISC

Impacted products

	Vendor	Product	Version
	tensorflow	tensorflow	Version: >= 2.6.0rc0, < 2.6.0rc2

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-04T01:23:01.523Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
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            "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mhhc-q96p-mfm9"
          },
          {
            "tags": [
              "x_refsource_MISC",
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            "url": "https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "tensorflow",
          "vendor": "tensorflow",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 2.6.0rc0, \u003c 2.6.0rc2"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions the strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for [ellipsis in axis definition](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/strided_slice.cc#L103-L122). An attacker can craft a model such that `ellipsis_end_idx` is smaller than `i` (e.g., always negative). In this case, the inner loop does not increase `i` and the `continue` statement causes execution to skip over the preincrement at the end of the outer loop. We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695. TensorFlow 2.6.0 is the only affected version."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 5.5,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-835",
              "description": "CWE-835: Loop with Unreachable Exit Condition (\u0027Infinite Loop\u0027)",
              "lang": "en",
              "type": "CWE"
            }
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        "dateUpdated": "2024-11-13T21:20:48.849Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
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          "tags": [
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      "source": {
        "advisory": "GHSA-mhhc-q96p-mfm9",
        "discovery": "UNKNOWN"
      },
      "title": "Infinite loop in TensorFlow Lite"
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  "cveMetadata": {
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    "assignerShortName": "GitHub_M",
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    "datePublished": "2021-08-12T21:55:11",
    "dateReserved": "2021-07-29T00:00:00",
    "dateUpdated": "2024-11-13T21:20:48.849Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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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