Vulnerability Name: | CVE-2020-26271 (CCN-193282) | ||||||||||||
Assigned: | 2020-12-09 | ||||||||||||
Published: | 2020-12-09 | ||||||||||||
Updated: | 2020-12-14 | ||||||||||||
Summary: | In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node (given by output_index) and the input slot of the dst node (given by input_index). This is only possible if the types of the tensors on both sides coincide, so the function begins by obtaining the corresponding DataType values and comparing these for equality. However, there is no check that the indices point to inside of the arrays they index into. Thus, this can result in accessing data out of bounds of the corresponding heap allocated arrays. In most scenarios, this can manifest as unitialized data access, but if the index points far away from the boundaries of the arrays this can be used to leak addresses from the library. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0. | ||||||||||||
CVSS v3 Severity: | 3.3 Low (CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N) 2.9 Low (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N/E:U/RL:O/RC:C)
2.9 Low (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N/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:P/I:N/A:N)
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Vulnerability Type: | CWE-125 CWE-908 | ||||||||||||
Vulnerability Consequences: | Obtain Information | ||||||||||||
References: | Source: MITRE Type: CNA CVE-2020-26271 Source: XF Type: UNKNOWN tensorflow-cve202026271-info-disc(193282) Source: MISC Type: Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/commit/0cc38aaa4064fd9e79101994ce9872c6d91f816b Source: CCN Type: TensorFlow GIT Repository Heap out of bounds access in MakeEdge Source: CONFIRM Type: Exploit, Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q263-fvxm-m5mw Source: CCN Type: IBM Security Bulletin 6412349 (Watson Machine Learning Community Edition) TensorFlow in Watson Machine Learning Community Edition 1.6.2 and 1.7.0 has been patched for various security issues. Source: CCN Type: IBM Security Bulletin 6416135 (Watson Discovery) IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in TensorFlow Source: CCN Type: IBM Security Bulletin 6469403 (Watson Machine Learning on CP4D) Multiple TensorFlow Vulnerabilities Affect IBM Watson Machine Learning on CP4D | ||||||||||||
Vulnerable Configuration: | Configuration 1: Configuration CCN 1: ![]() | ||||||||||||
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