CVE-2021-41201 json
Unitialized access in `EinsumHelper::ParseEquation`
published 5y ago modified 2mo ago also BIT-tensorflow-2021-41201 , EUVD-2021-0424 , GHSA-j86v-p27c-73fm , PYSEC-2021-394 , PYSEC-2021-611 , PYSEC-2021-809
- cvss
- 7.8
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.2%
- EPSS 0.2% chance of exploitation in 30 days, percentile 16%
- public exploits
- 0
- none known
Summary
TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. 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
- tensorflow Arch Linux 2.6.1-1
arch linux advisories AVG-2529
Is CVE-2021-41201 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.
Check with FencerExploit prediction
0.25% chance of exploitation in the next 30 days, higher than 16% of all scored CVEs (FIRST EPSS, 2026-11-09).
Exploits and checks
- github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j86v-p27c-73fm referenced PoC, tagged "exploit" by a source, unverified
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 7.8 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
| GitHub | 3.1 | 7.8 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
| NVD | 3.1 | 7.8 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
| NVD | 2.0 | 4.6 | AV:L/AC:L/Au:N/C:P/I:P/A:P |
| OSV | 3.1 | 7.8 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/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 | <2.4.4 >=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-824 Access of Uninitialized Pointer
References
-
github.com
/tensorflow/tensorflow/commit/f09caa532b6e1ac8d2aa61b7832c78c5b79300c6
web, patch, third-party-advisory, advisory
-
github.com
/tensorflow/tensorflow/security/advisories/GHSA-j86v-p27c-73fm
web, exploit, third-party-advisory, advisory
-
nvd.nist.gov
/vuln/detail/CVE-2021-41201
advisory, web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-611.yaml
web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-809.yaml
web
-
github.com
/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-394.yaml
web
-
github.com
/tensorflow/tensorflow
package
Sources
- CVE List CVE-2021-41201
- GitHub Advisory GHSA-j86v-p27c-73fm
- NVD CVE-2021-41201
- OSV BIT-tensorflow-2021-41201
- OSV PYSEC-2021-394
- OSV PYSEC-2021-611
- OSV PYSEC-2021-809
Fencer Intel 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.