How severe is CVE-2022-29209?

CVE-2022-29209 has a CVSS 3.x base score of 5.5, rated medium severity. It is exploitable over local access with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability high.

Is CVE-2022-29209 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (31st percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2022-29209?

CVE-2022-29209 primarily affects Google Tensorflow. In total, 8 product configurations (CPEs) are listed as vulnerable; see the affected-products list for the exact versions.

How do I fix CVE-2022-29209?

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

When was CVE-2022-29209 published?

CVE-2022-29209 was published on 2022-05-21 and last updated on 2026-06-17.

CVE-2022-29209

CVE-2022-29209 is a medium-severity vulnerability in Google Tensorflow with a CVSS 3.x base score of 5.5. 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-843.

Key facts

Severity: Medium (CVSS 3.x base score 5.5)
CVSS v2: 2.1
EPSS exploit prediction: 0% (31st percentile)
Actively exploited: Not listed in CISA KEV
Weakness: CWE-843
Affected product: Google Tensorflow
Published: 2022-05-21
Last modified: 2026-06-17

Description

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the macros that TensorFlow uses for writing assertions (e.g., `CHECK_LT`, `CHECK_GT`, etc.) have an incorrect logic when comparing `size_t` and `int` values. Due to type conversion rules, several of the macros would trigger incorrectly. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Frequently asked questions

What is CVE-2022-29209?: TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the macros that TensorFlow uses for writing assertions (e.g., `CHECK_LT`, `CHECK_GT`, etc.) have an incorrect logic when comparing `size_t` and `int` values. Due to type conversion rules, several of the macros would trigger incorrectly. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
How severe is CVE-2022-29209?: CVE-2022-29209 has a CVSS 3.x base score of 5.5, rated medium severity. It is exploitable over local access with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability high.
Is CVE-2022-29209 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (31st percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2022-29209?: CVE-2022-29209 primarily affects Google Tensorflow. In total, 8 product configurations (CPEs) are listed as vulnerable; see the affected-products list for the exact versions.
How do I fix CVE-2022-29209?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
When was CVE-2022-29209 published?: CVE-2022-29209 was published on 2022-05-21 and last updated on 2026-06-17.

References

Affected products (8)

cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.8.0:-:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.8.0:rc0:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.8.0:rc1:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.9.0:rc0:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:2.9.0:rc1:*:*:*:*:*:*

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