How severe is CVE-2022-41883?

CVE-2022-41883 has a CVSS 3.x base score of 6.8, rated medium severity. It is exploitable over network with low attack complexity, requires low privileges and user interaction. Impact on confidentiality is low, integrity low, and availability high.

Is CVE-2022-41883 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (27th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2022-41883?

CVE-2022-41883 primarily affects Google Tensorflow. In total, 5 product configurations (CPEs) are listed as vulnerable; see the affected-products list for the exact versions.

How do I fix CVE-2022-41883?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.

When was CVE-2022-41883 published?

CVE-2022-41883 was published on 2022-11-18 and last updated on 2026-06-17.

CVE-2022-41883

CVE-2022-41883 is a medium-severity vulnerability in Google Tensorflow with a CVSS 3.x base score of 6.8. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-125.

Key facts

Severity: Medium (CVSS 3.x base score 6.8)
EPSS exploit prediction: 0% (27th percentile)
Actively exploited: Not listed in CISA KEV
Weakness: CWE-125
Affected product: Google Tensorflow
Published: 2022-11-18
Last modified: 2026-06-17

Description

TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Frequently asked questions

What is CVE-2022-41883?: TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
How severe is CVE-2022-41883?: CVE-2022-41883 has a CVSS 3.x base score of 6.8, rated medium severity. It is exploitable over network with low attack complexity, requires low privileges and user interaction. Impact on confidentiality is low, integrity low, and availability high.
Is CVE-2022-41883 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (27th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2022-41883?: CVE-2022-41883 primarily affects Google Tensorflow. In total, 5 product configurations (CPEs) are listed as vulnerable; see the affected-products list for the exact versions.
How do I fix CVE-2022-41883?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
When was CVE-2022-41883 published?: CVE-2022-41883 was published on 2022-11-18 and last updated on 2026-06-17.

References

Affected products (5)

cpe:2.3:a:google:tensorflow:2.10.0:-:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.10.0:rc0:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.10.0:rc1:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.10.0:rc2:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.10.0:rc3:*:*:*:*:*:*

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