CVE-2020-15200

Katalog CVE

CVSS 5.9 · Medium EPSS 0,85%

Kerentanan Improper Input Validation pada google tensorflow. Skor CVSS 3.1 5.9 (Medium) menurut NVD.

Deskripsi (NVD)

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. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

Rincian

Terbit di NVD

25 September 2020

Terakhir diubah

17 Juni 2026

Status NVD

Modified

CVSS 3.1

5.9 (Medium), sumber NVD
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H · uraikan di kalkulator

Jenis kelemahan (CWE)

CWE-20: Improper Input Validation
CWE-122: Heap-based Buffer Overflow
CWE-787: Out-of-bounds Write

EPSS (30 hari)

0,85% peluang dieksploitasi; lebih tinggi dari 57,1% CVE lain

Produk dan versi terdampak

> Data dari konfigurasi CPE di NVD.

Referensi dan perbaikan

• https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02 patch · advisory pihak ketiga
• https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 advisory pihak ketiga
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x7rp-74x2-mjf3 exploit · advisory pihak ketiga