CVE-2021-41228: Code injection in `saved_model_cli`
First published: Fri Nov 05 2021(Updated: )
### Impact TensorFlow's `saved_model_cli` tool is vulnerable to a code injection as it [calls `eval` on user supplied strings](https://github.com/tensorflow/tensorflow/blob/87462bfac761435a46641ff2f10ad0b6e5414a4b/tensorflow/python/tools/saved_model_cli.py#L524-L550) ```python 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](https://github.com/tensorflow/tensorflow/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](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) 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.
Credit: security-advisories@github.com security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| pip/tensorflow-gpu | >=2.6.0<2.6.1 | 2.6.1 |
| pip/tensorflow-gpu | <2.4.4 | 2.4.4 |
| pip/tensorflow-gpu | >=2.5.0<2.5.2 | 2.5.2 |
| pip/tensorflow-cpu | >=2.6.0<2.6.1 | 2.6.1 |
| pip/tensorflow-cpu | <2.4.4 | 2.4.4 |
| pip/tensorflow-cpu | >=2.5.0<2.5.2 | 2.5.2 |
| pip/tensorflow | >=2.6.0<2.6.1 | 2.6.1 |
| pip/tensorflow | <2.4.4 | 2.4.4 |
| pip/tensorflow | >=2.5.0<2.5.2 | 2.5.2 |
| TensorFlow Keras | >=2.4.0<2.4.4 | |
| TensorFlow Keras | >=2.6.0<2.6.1 | |
| TensorFlow Keras | =2.7.0-rc0 | |
| TensorFlow Keras | =2.7.0-rc1 |
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Reference Links
- https://github.com/tensorflow/tensorflow/commit/8b202f08d52e8206af2bdb2112a62fafbc546ec7
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3rcw-9p9x-582v
- https://nvd.nist.gov/vuln/detail/CVE-2021-41228
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-637.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-835.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-420.yaml
- https://github.com/advisories/GHSA-3rcw-9p9x-582v (Advisory)
Frequently Asked Questions
What is the severity of CVE-2021-41228?
CVE-2021-41228 has been classified as a medium severity vulnerability due to its potential for code injection attacks.
How do I fix CVE-2021-41228?
To remediate CVE-2021-41228, update TensorFlow to versions 2.4.4, 2.5.2, or 2.6.1 or later.
Which versions of TensorFlow are affected by CVE-2021-41228?
CVE-2021-41228 affects TensorFlow versions from 2.4.0 to 2.4.4, 2.6.0 to 2.6.1, and specific release candidates 2.7.0-rc0 and 2.7.0-rc1.
What is the impact of CVE-2021-41228?
CVE-2021-41228 allows an attacker to execute arbitrary code in the context of the application when using the saved_model_cli tool.
Is there a workaround for CVE-2021-41228?
There are no known safe workarounds for CVE-2021-41228; updating to a patched version is strongly recommended.
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