CVE-2022-35993Reachable Assertion in Tensorflow

Severity
7.5HIGHNVD
CNA5.9
EPSS
0.1%
top 80.05%
CISA KEV
Not in KEV
Exploit
No known exploits
Timeline
PublishedSep 16

Description

TensorFlow is an open source platform for machine learning. When `SetSize` receives an input `set_shape` that is not a 1D tensor, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit cf70b79d2662c0d3c6af74583641e345fc939467. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. The

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:HExploitability: 3.9 | Impact: 3.6

Affected Packages3 packages

NVDgoogle/tensorflow2.8.02.8.1+3
CVEListV5tensorflow/tensorflow< 2.7.2+2
PyPIintel/optimization_for_tensorflow2.8.02.8.1+2

Patches

🔴Vulnerability Details

3
OSV
TensorFlow vulnerable to `CHECK` fail in `SetSize`2022-09-16
GHSA
TensorFlow vulnerable to `CHECK` fail in `SetSize`2022-09-16
CVEList
`CHECK` fail in `SetSize` in TensorFlow2022-09-16

📋Vendor Advisories

1
Debian
CVE-2022-35993: tensorflow - TensorFlow is an open source platform for machine learning. When `SetSize` recei...2022
CVE-2022-35993 — Reachable Assertion in Tensorflow | cvebase