CVE-2022-23591Uncontrolled Resource Consumption in Tensorflow

Severity
7.5HIGHNVD
EPSS
0.3%
top 43.62%
CISA KEV
Not in KEV
Exploit
No known exploits
Timeline
PublishedFeb 4
Latest updateFeb 9

Description

Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. The fix will be included in TensorFlow 2.8.0. We will also cherrypi

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

CVEListV5tensorflow/tensorflow< 2.5.3+2
PyPIintel/optimization_for_tensorflow2.6.02.6.3+2
NVDgoogle/tensorflow2.6.02.6.2+2

Patches

🔴Vulnerability Details

4
GHSA
Stack overflow in TensorFlow2022-02-09
OSV
Stack overflow in TensorFlow2022-02-09
CVEList
Stack overflow in Tensorflow2022-02-04
OSV
CVE-2022-23591: Tensorflow is an Open Source Machine Learning Framework2022-02-04

📋Vendor Advisories

1
Debian
CVE-2022-23591: tensorflow - Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format i...2022
CVE-2022-23591 — Uncontrolled Resource Consumption | cvebase