CVE-2020-15201

Heap buffer overflow in Tensorflow

State
Published
Severity
4.8 Medium
Published
Sep 25, 2020
Updated
Aug 4, 2024
Reserved
Jun 25, 2020

Read the record on cve.org

Description

In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

Scores

CVSSScoreVectorSource
3.14.8 MediumCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:NGitHub_M

Weaknesses

  • CWE-20 {"CWE-20":"Improper Input Validation"}
  • CWE-122 {"CWE-122":"Heap-based Buffer Overflow"}

Affected Products

ProductVersions
tensorflowtensorflow
  • = 2.3.0Affected

References

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