CVE-2021-37677

Katalog CVE

CVSS 5.5 · Medium EPSS 0,15%

Kerentanan Improper Input Validation pada google tensorflow. Skor CVSS 3.1 5.5 (Medium) menurut NVD.

Deskripsi (NVD)

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Rincian

Terbit di NVD

12 Agustus 2021

Terakhir diubah

17 Juni 2026

Status NVD

Modified

CVSS 3.1

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

Jenis kelemahan (CWE)

CWE-20: Improper Input Validation
CWE-1284: Improper Validation of Specified Quantity in Input

EPSS (30 hari)

0,15% peluang dieksploitasi; lebih tinggi dari 3,5% CVE lain

Produk dan versi terdampak

> Data dari konfigurasi CPE di NVD.

Referensi dan perbaikan

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qfpc-5pjr-mh26 advisory vendor
• https://github.com/tensorflow/tensorflow/commit/da857cfa0fde8f79ad0afdbc94e88b5d4bbec764 patch