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CVE-2021-41228

Code injection in `saved_model_cli`

7.5 HighFix available

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's saved_model_cli tool is vulnerable to a code injection as it calls eval on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a safe flag which defaults to True and an explicit warning for users. 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.

Attack profile

How easy it is to exploit

Attack vector
Local
Complexity
High
Privileges needed
High
User interaction
None

What an attacker can affect

Confidentiality
High
Integrity
High
Availability
High

Exploit likelihood

0.22%Down 0.4 points since Nov 6, 2021
90%50%10%1%

What each source reports

CVE List Score used7.5

Code injection in `saved_model_cli`

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's saved_model_cli tool is vulnerable to a code injection as it calls eval on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a safe flag which defaults to True and an explicit warning for users. 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.

Record
CVE-2021-41228
CVSS 3.1
7.5 HighCVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H
Weakness
CWE-78
Updated
2026-11-02
EUVDEUVD-2021-04507.5

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's saved_model_cli tool is vulnerable to a code injection as it calls eval on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a safe flag which defaults to True and an explicit warning for users. 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.

Record
EUVD-2021-0450
CVSS 3.1
7.5 HighCVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H
Updated
2026-11-03
GitHub AdvisoriesGHSA-3rcw-9p9x-582v5.0

Code injection in `saved_model_cli`

Impact

TensorFlow's saved_model_cli tool is vulnerable to a code injection as it calls eval on user supplied strings

def preprocess_input_exprs_arg_string(input_exprs_str):
  ... 
  for input_raw in filter(bool, input_exprs_str.split(';')):
    ...
    input_key, expr = input_raw.split('=', 1)
    input_dict[input_key] = eval(expr)
  ...

This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a safe flag which defaults to True and an explicit warning for users.

Patches

We have patched the issue in GitHub commit 8b202f08d52e8206af2bdb2112a62fafbc546ec7.

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.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Omer Kaspi from Vdoo.

Record
GHSA-3rcw-9p9x-582v
CVSS 4.0
5.0 MediumCVSS:4.0/AV:L/AC:L/AT:P/PR:H/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H
CVSS 3.1
7.5 HighCVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H
Weakness
CWE-78, CWE-94
Updated
2026-11-02
NVD7.5

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's saved_model_cli tool is vulnerable to a code injection as it calls eval on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a safe flag which defaults to True and an explicit warning for users. 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.

Record
CVE-2021-41228
CVSS 3.1
7.5 HighCVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H
CVSS 3.1
7.8 HighCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 2.0
4.6 MediumAV:L/AC:L/Au:N/C:P/I:P/A:P
Weakness
CWE-78, CWE-94
Updated
2026-11-02
OSV7.8

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's saved_model_cli tool is vulnerable to a code injection as it calls eval on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a safe flag which defaults to True and an explicit warning for users. 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.

Record
CVE-2021-41228
CVSS 3.1
7.8 HighCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Updated
2026-11-02
OSVGHSA-3rcw-9p9x-582v5.0

Code injection in `saved_model_cli`

Impact

TensorFlow's saved_model_cli tool is vulnerable to a code injection as it calls eval on user supplied strings

def preprocess_input_exprs_arg_string(input_exprs_str):
  ... 
  for input_raw in filter(bool, input_exprs_str.split(';')):
    ...
    input_key, expr = input_raw.split('=', 1)
    input_dict[input_key] = eval(expr)
  ...

This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a safe flag which defaults to True and an explicit warning for users.

Patches

We have patched the issue in GitHub commit 8b202f08d52e8206af2bdb2112a62fafbc546ec7.

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.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Omer Kaspi from Vdoo.

Record
GHSA-3rcw-9p9x-582v
CVSS 4.0
5.0 MediumCVSS:4.0/AV:L/AC:L/AT:P/PR:H/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H
CVSS 3.1
7.5 HighCVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H
Weakness
CWE-78, CWE-94
Updated
2026-11-02
Show 5 moreShow less
OSVBIT-tensorflow-2021-41228No score

Code injection in `saved_model_cli`

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's saved_model_cli tool is vulnerable to a code injection as it calls eval on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a safe flag which defaults to True and an explicit warning for users. 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.

Record
BIT-tensorflow-2021-41228
Updated
2026-11-02
OSVopenSUSE-SU-2024:12116-1No score

tensorflow-lite-2.9.1-1.1 on GA media

These are all security issues fixed in the tensorflow-lite-2.9.1-1.1 package on the GA media of openSUSE Tumbleweed.

Record
openSUSE-SU-2024:12116-1
Updated
2026-11-02
OSVPYSEC-2021-420No score

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's saved_model_cli tool is vulnerable to a code injection as it calls eval on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a safe flag which defaults to True and an explicit warning for users. 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.

Record
PYSEC-2021-420
Updated
2026-11-02
OSVPYSEC-2021-637No score

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's saved_model_cli tool is vulnerable to a code injection as it calls eval on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a safe flag which defaults to True and an explicit warning for users. 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.

Record
PYSEC-2021-637
Updated
2026-11-02
OSVPYSEC-2021-835No score

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's saved_model_cli tool is vulnerable to a code injection as it calls eval on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a safe flag which defaults to True and an explicit warning for users. 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.

Record
PYSEC-2021-835
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
tensorflow
PyPI
2.5.0 up to 2.5.2
2.5.2
tensorflow
PyPI
before 2.4.4
2.4.4
tensorflow
PyPI
2.6.0 up to 2.6.1
2.6.1
tensorflow-cpu
PyPI
2.5.0 up to 2.5.2
2.5.2
tensorflow-cpu
PyPI
before 2.4.4
2.4.4
tensorflow-cpu
PyPI
2.6.0 up to 2.6.1
2.6.1
tensorflow-gpu
PyPI
2.5.0 up to 2.5.2
2.5.2
tensorflow-gpu
PyPI
before 2.4.4
2.4.4
tensorflow-gpu
PyPI
2.6.0 up to 2.6.1
2.6.1
tensorflow
Bitnami
2.4.0 up to 2.4.4, 2.5.0 up to 2.5.2, 2.6.0 up to 2.6.1
2.4.42.5.22.6.1
Show 9 moreShow less
Affected packages
PackageAffectedFixed
tensorflow
PyPI
2.5.0 up to 2.5.2, plus listed versions
2.5.1
2.5.2
tensorflow
PyPI
before 2.4.4, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 45 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4
2.4.4
tensorflow-cpu
PyPI
2.5.0 up to 2.5.2, plus listed versions
2.5.1
2.5.2
tensorflow-cpu
PyPI
before 2.4.4, plus listed versions
1.15.02.1.02.1.12.1.22.1.3
Show 14 moreShow less
2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.3
2.4.4
tensorflow-gpu
PyPI
2.5.0 up to 2.5.2, plus listed versions
2.5.1
2.5.2
tensorflow-gpu
PyPI
before 2.4.4, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 45 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4
2.4.4
tensorflow
PyPI
before 2.4.4, 2.5.0 up to 2.5.2, 2.6.0 up to 2.6.1, 2.7.0rc0 up to 2.7.0, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 45 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.0rc02.2.0rc12.2.0rc22.2.0rc32.2.0rc42.2.12.2.22.2.3
2.4.42.5.22.6.12.7.0
tensorflow-cpu
PyPI
before 2.4.4, 2.5.0 up to 2.5.2, 2.6.0 up to 2.6.1, 2.7.0rc0 up to 2.7.0, plus listed versions
1.15.02.1.02.1.12.1.22.1.3
Show 16 moreShow less
2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.5.12.7.0rc1
2.4.42.5.22.6.12.7.0
tensorflow-gpu
PyPI
before 2.4.4, 2.5.0 up to 2.5.2, 2.6.0 up to 2.6.1, 2.7.0rc0 up to 2.7.0, plus listed versions
0.12.00.12.11.0.01.0.11.1.0
Show 45 moreShow less
1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4
2.4.42.5.22.6.12.7.0

History

History
RecordedChangedSources
facts
aliasesEUVD
first indexedCVE List, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2021-41228 is a high vulnerability (CVSS 7.5) in Google Tensorflow, published November 5, 2021. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.22%, the 12th percentile. Fixed in tensorflow 2.5.2.

References

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