CVE-2022-35965
CVE-2022-35965 is a medium-severity vulnerability in Google Tensorflow with a CVSS 3.x base score of 5.9. 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-476.
Key facts
- Severity: Medium (CVSS 3.x base score 5.9)
- EPSS exploit prediction: 0% (30th percentile)
- Actively exploited: Not listed in CISA KEV
- Weakness: CWE-476
- Affected product: Google Tensorflow
- Published:
- Last modified:
Description
TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Frequently asked questions
- What is CVE-2022-35965?
- TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
- How severe is CVE-2022-35965?
- CVE-2022-35965 has a CVSS 3.x base score of 5.9, rated medium severity. It is exploitable over network with high attack complexity, requires no privileges and no user interaction. Impact on confidentiality is none, integrity none, and availability high.
- Is CVE-2022-35965 being actively exploited?
- It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (30th percentile), an estimate of the probability of exploitation in the next 30 days.
- What products are affected by CVE-2022-35965?
- CVE-2022-35965 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-2022-35965?
- Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
- When was CVE-2022-35965 published?
- CVE-2022-35965 was published on 2022-09-16 and last updated on 2026-06-17.
References
- https://github.com/tensorflow/tensorflow/commit/bce3717eaef4f769019fd18e990464ca4a2efeea
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qxpx-j395-pw36
Affected products (5)
- cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:2.10:rc2:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:2.10:rc3:*:*:*:*:*:*
More vulnerabilities in Google Tensorflow
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