TensorFlow is an open source platform for machine learning. If SparseFillEmptyRowsGrad is given empty inputs, TensorFlow will crash. We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. 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.
CVE-2022-41898
This medium-severity CVE scores 4.8 under NVD CVSS v3. EPSS exploit probability: 0.4%, top 64% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- Lower severity and no public exploit yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 4.8
- EG Score
- 4.8(medium)
- EG Risk
- 38(Track)EG Risk 38/100SSVC: Track
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity48% × 45%Exploitation40% × 40%Automatability0% × 15%Action: Routine — remediate on your standard cadence. - EPSS
- 36.0%
- KEV
- Not listed
Published
November 18, 2022
Last Modified
November 21, 2024
References (6)
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse_fill_empty_rows_op_gpu.cu.cc
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/commit/af4a6a3c8b95022c351edae94560acc61253a1b8
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-hq7g-wwwp-q46h
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sparse_fill_empty_rows_op_gpu.cu.cc
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/af4a6a3c8b95022c351edae94560acc61253a1b8
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hq7g-wwwp-q46h
Affected Packages
(3 across 1 ecosystem)
PyPI(3)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| tensorflow | 0.12.0 ... 2.9.2 (85 versions) | 2.10.1 | — |
| tensorflow-cpu | 1.15.0 ... 2.9.2 (43 versions) | 2.10.1 | — |
| tensorflow-gpu | 0.12.0 ... 2.9.2 (82 versions) | 2.10.1 | — |
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
All Vendor Advisories
(1)
Every vendor that published an advisory referencing this CVE — pulled from our cve_vendor_advisories aggregation. Click any row for the vendor's original advisory page.
Data Freshness Timeline
(refreshed 11× in last 7d / 42× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
- 2026-07-23 14:16 UTCEPSS rescore
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- 2026-05-25 11:50 UTCVendor advisory
Related CVEs(same vendor + same CWE)
Same vendor
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- CVE-2006-10003EG 9.8CRITICAL
- CVE-2015-20107NVD 7.6EG 9.8EPSS 94%HIGH
- CVE-2013-7381EG 9.8CRITICAL
- CVE-2014-0048EG 9.8EPSS 93%CRITICAL
- CVE-2007-4559EG 9.8EPSS 98%CRITICAL
- CVE-2013-3900NVD 5.5EG 9.0 KEVEPSS 99%MEDIUM
- CVE-2013-2094NVD 8.4EG 9.0 KEVEPSS 99%HIGH
- CVE-2014-9356EG 8.6EPSS 91%HIGH
- CVE-2014-5282EG 8.1HIGH
- CVE-2014-8141EG 7.8EPSS 94%HIGH
Frequently asked(5)
What is CVE-2022-41898?
When was CVE-2022-41898 disclosed?
Is CVE-2022-41898 actively exploited?
What is the CVSS score of CVE-2022-41898?
How do I remediate CVE-2022-41898?
Dependency Blast Radius
See which npm, PyPI, Go, and Maven packages are affected by CVE-2022-41898
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