CVE-2020-15265

Katalog CVE

CVSS 7.5 · High EPSS 0,91%

Kerentanan Out-of-bounds Read pada google tensorflow. Skor CVSS 3.1 7.5 (High) menurut NVD.

Deskripsi (NVD)

In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

Rincian

Terbit di NVD

21 Oktober 2020

Terakhir diubah

17 Juni 2026

Status NVD

Modified

CVSS 3.1

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

Jenis kelemahan (CWE)

CWE-125: Out-of-bounds Read

EPSS (30 hari)

0,91% peluang dieksploitasi; lebih tinggi dari 58,8% CVE lain

Produk dan versi terdampak

> Data dari konfigurasi CPE di NVD.

Referensi dan perbaikan

• https://github.com/tensorflow/tensorflow/commit/eccb7ec454e6617738554a255d77f08e60ee0808 patch · advisory pihak ketiga
• https://github.com/tensorflow/tensorflow/issues/42105 patch · advisory pihak ketiga
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrfp-j2mp-hq9c exploit · patch · advisory pihak ketiga