CVE-2021-41209 json
FPE in convolutions with zero size filters
published 2021-11-05 5 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2021-41209 , EUVD-2021-0431 , GHSA-6hpv-v2rx-c5g6 , PYSEC-2021-401 , PYSEC-2021-618 , PYSEC-2021-816
- cvss
- 5.5
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.1%
- EPSS 0.1% chance of exploitation in 30 days, percentile 3%
- public exploits
- 0
- none known
Summary
TensorFlow is an open source platform for machine learning. In affected versions the implementations for convolution operators trigger a division by 0 if passed empty filter tensor arguments. 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.
Patch / fix
- pypi tensorflow 2.4.4, 2.5.2, 2.6.1, 2.7.0
- pypi tensorflow-cpu 2.4.4, 2.5.2, 2.6.1, 2.7.0
- pypi tensorflow-gpu 2.4.4, 2.5.2, 2.6.1, 2.7.0
- bitnami tensorflow 2.4.4, 2.5.2, 2.6.1
- google tensorflow 2.4.4, 2.5.2, 2.6.1
- tensorflow Arch Linux 2.6.1-1
arch linux advisories AVG-2529
Exploit prediction
0.14% chance of exploitation in the next 30 days, higher than 3% of all scored CVEs (FIRST EPSS, 2026-11-08).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 5.5 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
| GitHub | 3.1 | 5.5 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
| NVD | 2.0 | 2.1 | AV:L/AC:L/Au:N/C:N/I:N/A:P |
| OSV | 3.1 | 5.5 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | tensorflow | >=2.6.0, <2.6.1 >=2.5.0, <2.5.2 <2.4.4 >=2.7.0rc0, <2.7.0 |
2.6.1 2.5.2 2.4.4 2.7.0 |
| pypi | tensorflow-cpu | >=2.6.0, <2.6.1 >=2.5.0, <2.5.2 <2.4.4 >=2.7.0rc0, <2.7.0 |
2.6.1 2.5.2 2.4.4 2.7.0 |
| pypi | tensorflow-gpu | >=2.6.0, <2.6.1 >=2.5.0, <2.5.2 <2.4.4 >=2.7.0rc0, <2.7.0 |
2.6.1 2.5.2 2.4.4 2.7.0 |
| bitnami | tensorflow | >=2.4.0, <2.4.4 >=2.5.0, <2.5.2 >=2.6.0, <2.6.1 |
2.4.4 2.5.2 2.6.1 |
Affected products
- tensorflow tensorflow
Classification
- Weakness
-
- CWE-369 Divide By Zero
References
-
github.com
/tensorflow/tensorflow/commit/f2c3931113eaafe9ef558faaddd48e00a6606235
web, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/security/advisories/GHSA-6hpv-v2rx-c5g6
web, third-party-advisory, advisory
-
nvd.nist.gov
/vuln/detail/CVE-2021-41209
advisory, web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-618.yaml
web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-816.yaml
web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-401.yaml
web
-
github.com
/tensorflow/tensorflow
package
Sources
- CVE List CVE-2021-41209
- GitHub Advisory GHSA-6hpv-v2rx-c5g6
- NVD CVE-2021-41209
- OSV BIT-tensorflow-2021-41209
- OSV PYSEC-2021-401
- OSV PYSEC-2021-618
- OSV PYSEC-2021-816
Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.