CVE-2020-26271: google tensorflow Out-of-bounds Read

Vulnerability summary

CVE-2020-26271 is a medium (CVSS 4.4) Out-of-bounds Read vulnerability in google tensorflow. EPSS estimates a 0.22% chance of exploitation in the next 30 days, higher than 11.2% of scored vulnerabilities. 1 public exploit is recorded.

Timeline

1. 10-12-2020
   PublishedVulnerability first disclosed.
2. 04-08-2024
   Last modifiedVulnerability information updated.

Description

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.

• CWE-125Out-of-bounds ReadThe product reads data past the end, or before the beginning, of the intended buffer.
• CWE-908Use of Uninitialized ResourceThe product uses or accesses a resource that has not been initialized.