TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to nullptr. This occurs whenever the dimensions of a or b are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
CVE-2021-41219
This high-severity CVE scores 7.8 under NVD CVSS v3. EPSS exploit probability: 0.2%, top 89% 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).
- High severity, but no confirmed exploitation yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 7.8
- EG Score
- 7.8(medium)
- EG Risk
- 40(Track)EG Risk 40/100SSVC: 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 computedSeverity78% × 45%Exploitation0% × 40%Automatability30% × 15%Action: Routine — remediate on your standard cadence. - EPSS
- 10.6%
- KEV
- Not listed
Published
November 5, 2021
Last Modified
November 21, 2024
References (4)
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x
Affected Packages
(3 across 1 ecosystem)
PyPI(3)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| tensorflow | 0.12.0 ... 2.7.0rc1 (72 versions) | 2.7.0 | — |
| tensorflow-cpu | 1.15.0 ... 2.7.0rc1 (24 versions) | 2.7.0 | — |
| tensorflow-gpu | 0.12.0 ... 2.7.0rc1 (59 versions) | 2.7.0 | — |
Weakness Classification(2)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 12× in last 7d / 48× 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.
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Related CVEs(same CWE)
Same CWE
10 shownCWE-125 · CWE-824
- CVE-2014-2898EG 9.8CRITICAL
- CVE-2014-2897EG 9.8CRITICAL
- CVE-2014-2896EG 9.8CRITICAL
- CVE-1999-0006EG 9.8EPSS 96%CRITICAL
- CVE-2014-3180EG 9.1CRITICAL
- CVE-2014-1508EG 9.1EPSS 90%CRITICAL
- CVE-2015-1770NVD 8.8EG 9.0 KEVEPSS 98%HIGH
- CVE-2014-0160NVD 7.5EG 9.0 KEVEPSS 100%HIGH
- CVE-2014-1497EG 8.8HIGH
- CVE-2011-3406EG 8.8EPSS 98%HIGH
Frequently asked(5)
What is CVE-2021-41219?
When was CVE-2021-41219 disclosed?
Is CVE-2021-41219 actively exploited?
What is the CVSS score of CVE-2021-41219?
How do I remediate CVE-2021-41219?
Dependency Blast Radius
See which npm, PyPI, Go, and Maven packages are affected by CVE-2021-41219
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