csirt@kutim:~/threat-intel/cve/CVE-2021-29609

Katalog CVE

CVSS 7.8 · High EPSS 0,23%

Kerentanan Improper Initialization pada google tensorflow. Skor CVSS 3.1 7.8 (High) menurut NVD.

Deskripsi (NVD)

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_add_op.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Rincian

Terbit di NVD
14 Mei 2021
Terakhir diubah
17 Juni 2026
Status NVD
Modified
CVSS 3.1
7.8 (High), sumber NVD
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H · uraikan di kalkulator
Jenis kelemahan (CWE)
CWE-665: Improper Initialization
CWE-476: NULL Pointer Dereference
CWE-787: Out-of-bounds Write
EPSS (30 hari)
0,23% peluang dieksploitasi; lebih tinggi dari 13,1% CVE lain

Produk dan versi terdampak

VendorProdukVersi terdampak
google tensorflow Semua versi sebelum 2.1.4
google tensorflow Versi 2.2.0 hingga sebelum 2.2.3
google tensorflow Versi 2.3.0 hingga sebelum 2.3.3
google tensorflow Versi 2.4.0 hingga sebelum 2.4.2

> Data dari konfigurasi CPE di NVD.

Referensi dan perbaikan

Sumber: NVD · CVE.org · EPSS. Halaman ini disusun otomatis dari data tersebut; pembaruan terakhir 5 Okt 2026, 20:10 WITA. Kalau sistem di Perangkat Daerah memakai produk ini dan butuh bantuan, laporkan lewat kanal pelaporan.