Vulnerability Name: | CVE-2021-41197 (CCN-213612) | ||||||||||||
Assigned: | 2021-11-04 | ||||||||||||
Published: | 2021-11-04 | ||||||||||||
Updated: | 2021-11-09 | ||||||||||||
Summary: | TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an overflow occurs, `MultiplyWithoutOverflow` would return a negative result. In the majority of TensorFlow codebase this then results in a `CHECK`-failure. Newer constructs exist which return a `Status` instead of crashing the binary. This is similar to CVE-2021-29584. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | ||||||||||||
CVSS v3 Severity: | 5.5 Medium (CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) 4.8 Medium (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H/E:U/RL:O/RC:C)
3.5 Low (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L/E:U/RL:O/RC:C)
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CVSS v2 Severity: | 2.1 Low (CVSS v2 Vector: AV:L/AC:L/Au:N/C:N/I:N/A:P)
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Vulnerability Type: | CWE-190 | ||||||||||||
Vulnerability Consequences: | Denial of Service | ||||||||||||
References: | Source: MITRE Type: CNA CVE-2021-41197 Source: XF Type: UNKNOWN tensorflow-cve202141197-dos(213612) Source: CCN Type: TensorFlow GIT Repository Crashes due to overflow and CHECK-fail in ops with large tensor shapes Source: CCN Type: IBM Security Bulletin 6523816 (Watson Discovery) IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in TensorFlow Source: CCN Type: WhiteSource Vulnerability Database WS-2022-0071 | ||||||||||||
Vulnerable Configuration: | Configuration CCN 1:![]() | ||||||||||||
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