TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.raw_ops.ExperimentalDatasetToTFRecord and tf.raw_ops.DatasetToTFRecord can trigger heap buffer overflow and segmentation fault. The implementation assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types. We have patched the issue in GitHub commit e0b6e58c328059829c3eb968136f17aa72b6c876. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
CVE-2021-37650
This high-severity CVE scores 7.8 under NVD CVSS v3. EPSS exploit probability: 0.0%, top 97% 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)
- EPSS
- 8.0%
- KEV
- Not listed
Published
August 12, 2021
Last Modified
November 21, 2024
References (4)
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/commit/e0b6e58c328059829c3eb968136f17aa72b6c876
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-f8h4-7rgh-q2gm
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/e0b6e58c328059829c3eb968136f17aa72b6c876
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f8h4-7rgh-q2gm
Affected Packages
(3 across 1 ecosystem)
PyPI(3)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| tensorflow | 2.3.0 ... 2.4.2 (7 versions) | 2.4.3 | — |
| tensorflow-cpu | 2.3.0 ... 2.4.2 (7 versions) | 2.4.3 | — |
| tensorflow-gpu | 2.3.0 ... 2.4.2 (7 versions) | 2.4.3 | — |
Weakness Classification(2)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 10× in last 7d / 44× 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-120 · CWE-787
- CVE-2009-0948EG 9.8CRITICAL
- CVE-2007-0158EG 9.8CRITICAL
- CVE-2007-0899EG 9.8CRITICAL
- CVE-2006-3100EG 9.8CRITICAL
- CVE-2009-3953NVD 8.8EG 9.0 KEVEPSS 100%HIGH
- CVE-2009-3129NVD 7.8EG 9.0 KEVEPSS 100%HIGH
- CVE-2009-1862NVD 7.8EG 9.0 KEVEPSS 98%HIGH
- CVE-2009-0563NVD 7.8EG 9.0 KEVEPSS 99%HIGH
- CVE-2008-2992NVD 7.8EG 9.0 KEVEPSS 100%HIGH
- CVE-2007-5659NVD 7.8EG 9.0 KEVEPSS 100%HIGH
Frequently asked(5)
What is CVE-2021-37650?
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What is the CVSS score of CVE-2021-37650?
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Dependency Blast Radius
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