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CVE-2020-15201

Heap buffer overflow in Tensorflow

Medium4.8EPSS 0.57%
Published
Updated
Reserved
Assigned by
GitHub_M

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

CVSS scores of CVE-2020-15201, by who scored it
Scored byCVSSScoreVector
GitHub_MCNA (assigner)3.1Medium4.8CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N
NVDNVD · Modified3.1Medium4.8CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N
EPSS (exploitation in 30 days)
0.57% · top 53% of all CVEs (6 Nov 2026)
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The list uses the assigner's score when there is one, then CISA's, then NVD's: Medium 4.8.

Weakness

Affected products

Affected packages

From reviewed advisories of the GitHub Advisory Database.

References (3)

Sources

The same CVE in the primary databases and aggregators, to check against.

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Record last updated .