`CHECK` fail in `LRNGrad` in TensorFlow
Published Sep 16, 2022
7.5
HIGHCVSS 3.1
EPSS 0.48%
Description
TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. 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.
Affected products
-
- Version < 2.7.2StatusaffectedConstraints-
- Version >= 2.8.0, < 2.8.1StatusaffectedConstraints-
- Version >= 2.9.0, < 2.9.1StatusaffectedConstraints-
- Version
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TensorFlow | TensorFlow | n/a |
|
- < 2.7.2
- ≥ 2.8.0 · < 2.8.1
- ≥ 2.9.0 · < 2.9.1
- 2.10
- 2.10
- 2.10
- 2.10
No data.
No Red Hat product state for this CVE.
No package ranges for this CVE.
Remediation
No remediation recorded yet.
Metrics
No CVSS v4.0 score for this CVE.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
1 other source (GHSA) ▾
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
No CVSS v3.0 score for this CVE.
No CVSS v2.0 score for this CVE.
This CVE is not in the KEV list.
CISA SSVC (Vulnrichment)
Stakeholder-Specific Vulnerability Categorization from CISA ADP.
Exploitation
NoneAutomatable
NoTechnical Impact
PartialDecision
n/aAssessed Apr 23, 2025 · SSVC 2.0.3
Estimated probability of exploitation in the wild in the next 30 days (FIRST EPSS). As of Oct 2, 2026.
Score over time
2022–2026- EPSS v2
- EPSS v3
- EPSS v4
- EPSS v5
Percentile over time
- EPSS v2
- EPSS v3
- EPSS v4
- EPSS v5
Table of values (11 key points)
Flat stretches are collapsed; showing up to 120 newest points.
| Date | Score | Percentile | Model |
|---|---|---|---|
| Oct 2, 2026 | 0.48% (0.00478) | 39.00th | v5 (v2026.06.15) |
| Jun 15, 2026 | 0.38% (0.00379) | 29.48th | v5 (v2026.06.15) |
| Mar 17, 2025 | 0.18% (0.00183) | 37.78th | v4 (v2025.03.14) |
| Dec 12, 2024 | 0.08% (0.00082) | 36.83th | v3 (v2023.03.01) |
| Jun 26, 2024 | 0.08% (0.00082) | 35.36th | v3 (v2023.03.01) |
| Oct 19, 2023 | 0.08% (0.00079) | 33.34th | v3 (v2023.03.01) |
| Sep 23, 2023 | 0.07% (0.00071) | 29.21th | v3 (v2023.03.01) |
| Aug 17, 2023 | 0.06% (0.00055) | 20.71th | v3 (v2023.03.01) |
| Mar 7, 2023 | 0.05% (0.00046) | 13.98th | v3 (v2023.03.01) |
| Mar 6, 2023 | 0.89% (0.00885) | 27.89th | v2 (v2022.01.01) |
| Sep 17, 2022 | 0.89% (0.00885) | 26.32th | v2 (v2022.01.01) |
References (5)
- https://github.com/advisories/GHSA-9942-r22v-78cp Advisory
- https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255 x_refsource_MISCPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cp x_refsource_CONFIRMThird Party Advisory
- https://nvd.nist.gov/vuln/detail/CVE-2022-35985
| Link | Providers | Tags |
|---|---|---|
| https://github.com/advisories/GHSA-9942-r22v-78cp | Advisory | |
| https://github.com/tensorflow/tensorflow/commit/bd90b3efab4ec958b228cd7cfe9125be1c0cf255 | x_refsource_MISCPatchThird Party Advisory | |
| https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0 | ||
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9942-r22v-78cp | x_refsource_CONFIRMThird Party Advisory | |
| https://nvd.nist.gov/vuln/detail/CVE-2022-35985 |
Change history (0)
No recorded changes yet.