CVE-2020-26271

Summary

CVECVE-2020-26271
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2020-12-10 22:15:00 UTC
Updated2020-12-14 18:35:00 UTC
DescriptionIn 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.

Risk And Classification

Problem Types: CWE-125 | CWE-908

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow All All All All
Application Google Tensorflow All All All All

References

ReferenceSourceLinkTags
Heap out of bounds access in MakeEdge · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com Exploit, Patch, Third Party Advisory
Prevent unitialized memory access in `GraphConstructor::MakeEdge` · tensorflow/tensorflow@0cc38aa · GitHub MISC github.com Patch, Third Party Advisory
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

Legacy QID Mappings

  • 983227 Python (pip) Security Update for tensorflow-gpu (GHSA-q263-fvxm-m5mw)

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