csirt@kutim:~/threat-intel/cve/CVE-2020-5215

Katalog CVE

CVSS 7.5 · High EPSS 0,59%

Kerentanan Improper Check for Unusual or Exceptional Conditions pada google tensorflow. Skor CVSS 3.1 7.5 (High) menurut NVD.

Deskripsi (NVD)

In TensorFlow before 1.15.2 and 2.0.1, converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value. Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions. This can be easily reproduced by tf.constant("hello", tf.float16), if eager execution is enabled. This issue is patched in TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched. TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected. Users are encouraged to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.

Rincian

Terbit di NVD
28 Januari 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-754: Improper Check for Unusual or Exceptional Conditions
CWE-20: Improper Input Validation
EPSS (30 hari)
0,59% peluang dieksploitasi; lebih tinggi dari 46,6% CVE lain

Produk dan versi terdampak

VendorProdukVersi terdampak
google tensorflow Semua versi sebelum 1.15.2
google tensorflow Versi 2.0.0 hingga sebelum 2.0.1

> 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.