TensorFlow is an open source platform for machine learning. When the BaseCandidateSamplerOp function receives a value in true_classes larger than range_max, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. 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-2022-41880
This medium-severity CVE scores 6.8 under NVD CVSS v3. EPSS exploit probability: 0.4%, top 69% 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
- 6.8
- EG Score
- 6.8(medium)
- EG Risk
- 47(Track)EG Risk 47/100SSVC: 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 computedSeverity68% × 45%Exploitation40% × 40%Automatability0% × 15%Action: Routine — remediate on your standard cadence. - EPSS
- 30.6%
- 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/candidate_sampler_ops.cc
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/commit/b389f5c944cadfdfe599b3f1e4026e036f30d2d4
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-8w5g-3wcv-9g2j
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/candidate_sampler_ops.cc
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/b389f5c944cadfdfe599b3f1e4026e036f30d2d4
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8w5g-3wcv-9g2j
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 12× in last 7d / 43× 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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10 shownmsrc
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- CVE-2015-20107NVD 7.6EG 9.8EPSS 94%HIGH
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- 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
Same CWE
10 shownCWE-125
- CVE-2014-2898EG 9.8CRITICAL
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- CVE-2015-9290EG 9.8CRITICAL
- CVE-2016-10749EG 9.8CRITICAL
- CVE-1999-0006EG 9.8EPSS 96%CRITICAL
- CVE-2014-3180EG 9.1CRITICAL
- CVE-2014-1508EG 9.1EPSS 90%CRITICAL
- CVE-2016-5198NVD 8.8EG 9.0 KEVEPSS 98%HIGH
- CVE-2016-4523NVD 7.5EG 9.0 KEVEPSS 98%HIGH
Frequently asked(5)
What is CVE-2022-41880?
When was CVE-2022-41880 disclosed?
Is CVE-2022-41880 actively exploited?
What is the CVSS score of CVE-2022-41880?
How do I remediate CVE-2022-41880?
Dependency Blast Radius
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