CVE-2022-23580 — Uncontrolled Resource Consumption in Tensorflow

CWE-400 — Uncontrolled Resource ConsumptionCWE-1284 — Improper Validation of Specified Quantity in Input6 documents5 sources
Severity
6.5MEDIUMNVD
EPSS
0.3%
top 46.55%
CISA KEV
Not in KEV
Exploit
No known exploits
Affected products
3
TensorflowIntel Optimization FOR TensorflowGoogle Tensorflow
Timeline
PublishedFeb 4
Latest updateFeb 7

Description

Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HExploitability: 2.8 | Impact: 3.6

Affected Packages3 packages

▶CVEListV5tensorflow/tensorflow< 2.5.3+2
▶PyPIintel/optimization_for_tensorflow2.6.0 — 2.6.3+2
▶NVDgoogle/tensorflow2.6.0 — 2.6.2+2

Patches

Patch: github.com ↗Patch: github.com ↗Patch: github.com ↗

🔴Vulnerability Details

4
GHSA
Abort caused by allocating a vector that is too large in Tensorflow↗2022-02-07
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OSV
Abort caused by allocating a vector that is too large in Tensorflow↗2022-02-07
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CVEList
Abort caused by allocating a vector that is too large in Tensorflow↗2022-02-04
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OSV
CVE-2022-23580: Tensorflow is an Open Source Machine Learning Framework↗2022-02-04
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📋Vendor Advisories

1
Debian
CVE-2022-23580: tensorflow - Tensorflow is an Open Source Machine Learning Framework. During shape inference,...↗2022
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CVE-2022-23580 — Uncontrolled Resource Consumption | cvebase