TensorFlow is an open source platform for machine learning. In affected versions if tf.image.resize is called with a large input argument then the TensorFlow process will crash due to a CHECK-failure caused by an overflow. The number of elements in the output tensor is too much for the int64_t type and the overflow is detected via a CHECK statement. This aborts the process. 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-2021-41199
This medium-severity CVE scores 5.5 under NVD CVSS v3. EPSS exploit probability: 0.2%, top 86% 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
- 5.5
- EG Score
- 5.5(medium)
- EG Risk
- 29(Track)EG Risk 29/100SSVC: 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 computedSeverity55% × 45%Exploitation0% × 40%Automatability30% × 15%Action: Routine — remediate on your standard cadence. - EPSS
- 13.9%
- KEV
- Not listed
Published
November 5, 2021
Last Modified
November 21, 2024
References (6)
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/commit/e5272d4204ff5b46136a1ef1204fc00597e21837
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/issues/46914
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-5hx2-qx8j-qjqm
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/e5272d4204ff5b46136a1ef1204fc00597e21837
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/issues/46914
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5hx2-qx8j-qjqm
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(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 14× in last 7d / 52× 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.
Showing the most recent 100 of 107 total refreshes for this CVE.
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Related CVEs(same CWE)
Same CWE
10 shownCWE-190
- CVE-2009-0947EG 9.8CRITICAL
- CVE-2013-2729EG 9.8 KEVEPSS 99%CRITICAL
- CVE-2005-1141EG 9.8CRITICAL
- CVE-2005-0102EG 9.8CRITICAL
- CVE-2002-0391EG 9.8EPSS 99%CRITICAL
- CVE-2002-0639EG 9.8EPSS 97%CRITICAL
- CVE-2013-3486EG 9.6CRITICAL
- CVE-2013-2596NVD 7.8EG 9.0 KEVHIGH
- CVE-2012-5054NVD 8.8EG 9.0 KEVEPSS 97%HIGH
- CVE-2011-1823NVD 7.8EG 9.0 KEVEPSS 99%HIGH
Frequently asked(5)
What is CVE-2021-41199?
When was CVE-2021-41199 disclosed?
Is CVE-2021-41199 actively exploited?
What is the CVSS score of CVE-2021-41199?
How do I remediate CVE-2021-41199?
Dependency Blast Radius
See which npm, PyPI, Go, and Maven packages are affected by CVE-2021-41199
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