TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow to occur in Conv2DBackpropFilter. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L495-L497) computes the size of the filter tensor but does not validate that it matches the number of elements in filter_sizes. Later, when reading/writing to this buffer, code uses the value computed here, instead of the number of elements in the tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
CVE-2021-29540
This low-severity CVE scores 2.5 under NVD CVSS v3. EPSS exploit probability: 0.0%, top 91% 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
- 2.5
- EG Score
- 2.5(medium)
- EPSS
- 11.9%
- KEV
- Not listed
Published
May 14, 2021
Last Modified
November 21, 2024
References (4)
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/commit/c570e2ecfc822941335ad48f6e10df4e21f11c96
- security-advisories@githubhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-xgc3-m89p-vr3x
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/commit/c570e2ecfc822941335ad48f6e10df4e21f11c96
- af854a3a-2127-422b-91ae-364da2661108https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xgc3-m89p-vr3x
Affected Packages
(3 across 1 ecosystem)
PyPI(3)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| tensorflow | 0.12.0 ... 2.4.2 (102 versions) | 2.4.3 | — |
| tensorflow-cpu | 1.15.0 ... 2.4.2 (17 versions) | 2.4.3 | — |
| tensorflow-gpu | 0.12.0 ... 2.4.2 (52 versions) | 2.4.3 | — |
Weakness Classification(2)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 11× in last 7d / 49× 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)
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Dependency Blast Radius
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