Vulnerability Details : CVE-2020-26271

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.
Published 2020-12-10 22:15:12
Updated 2020-12-14 18:35:46
Source GitHub, Inc.
View at NVD,

Exploit prediction scoring system (EPSS) score for CVE-2020-26271

Probability of exploitation activity in the next 30 days: 0.04%

Percentile, the proportion of vulnerabilities that are scored at or less: ~ 11 % EPSS Score History EPSS FAQ

CVSS scores for CVE-2020-26271

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Source

CWE ids for CVE-2020-26271

  • The product reads data past the end, or before the beginning, of the intended buffer.
    Assigned by:
    • (Primary)
    • (Secondary)
  • The product uses or accesses a resource that has not been initialized.
    Assigned by: (Primary)

References for CVE-2020-26271

Products affected by CVE-2020-26271

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