Vulnerability Name: | CVE-2022-35984 (CCN-236475) | ||||||||||||
Assigned: | 2022-09-15 | ||||||||||||
Published: | 2022-09-15 | ||||||||||||
Updated: | 2022-09-20 | ||||||||||||
Summary: | TensorFlow is an open source platform for machine learning. `ParameterizedTruncatedNormal` assumes `shape` is of type `int32`. A valid `shape` of type `int64` results in a mismatched type `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 72180be03447a10810edca700cbc9af690dfeb51. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | ||||||||||||
CVSS v3 Severity: | 7.5 High (CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H) 6.5 Medium (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H/E:U/RL:O/RC:C)
5.2 Medium (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H/E:U/RL:O/RC:C)
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CVSS v2 Severity: | 5.4 Medium (CCN CVSS v2 Vector: AV:N/AC:H/Au:N/C:N/I:N/A:C)
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Vulnerability Type: | CWE-617 | ||||||||||||
Vulnerability Consequences: | Denial of Service | ||||||||||||
References: | Source: MITRE Type: CNA CVE-2022-35984 Source: XF Type: UNKNOWN tensorflow-cve202235984-dos(236475) Source: MISC Type: Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/commit/72180be03447a10810edca700cbc9af690dfeb51 Source: CCN Type: TensorFlow GIT Repository CHECK fail in ParameterizedTruncatedNormal Source: CONFIRM Type: Third Party Advisory https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p2xf-8hgm-hpw5 Source: CCN Type: IBM Security Bulletin 6840935 (Watson Discovery) IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in TensorFlow Source: CCN Type: Mend Vulnerability Database CVE-2022-35984 | ||||||||||||
Vulnerable Configuration: | Configuration 1: Configuration CCN 1: Denotes that component is vulnerable | ||||||||||||
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