How severe is CVE-2023-33976?

CVE-2023-33976 has a CVSS 3.x base score of 7.5, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability high.

Is CVE-2023-33976 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (34th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2023-33976?

CVE-2023-33976 affects Google Tensorflow. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2023-33976?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.

Does CVE-2023-33976 have an EU (EUVD) identifier?

Yes. CVE-2023-33976 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2024-2351.

When was CVE-2023-33976 published?

CVE-2023-33976 was published on 2024-07-30 and last updated on 2026-06-17.

CVE-2023-33976

CVE-2023-33976 is a high-severity vulnerability in Google Tensorflow with a CVSS 3.x base score of 7.5. 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-190.

Key facts

Severity: High (CVSS 3.x base score 7.5)
EPSS exploit prediction: 0% (34th percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2024-2351
Weakness: CWE-190
Affected product: Google Tensorflow
Published: 2024-07-30
Last modified: 2026-06-17

Description

TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.

Frequently asked questions

What is CVE-2023-33976?: TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.
How severe is CVE-2023-33976?: CVE-2023-33976 has a CVSS 3.x base score of 7.5, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability high.
Is CVE-2023-33976 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (34th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2023-33976?: CVE-2023-33976 affects Google Tensorflow. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2023-33976?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
Does CVE-2023-33976 have an EU (EUVD) identifier?: Yes. CVE-2023-33976 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2024-2351.
When was CVE-2023-33976 published?: CVE-2023-33976 was published on 2024-07-30 and last updated on 2026-06-17.

References

Affected products (1)

cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*

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