Code injection in `saved_model_cli` in TensorFlow
Priority HIGH 69CWE-94Published · Updated
Key facts
- Attack vector
- Local
- Privileges required
- Low
- User interaction
- None
- Attack complexity
- Low
- Impact type
- Code execution
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- Fixed
Attack profile from CVSS 3.1 · CNA. Fix status from CNA and GitHub. Impact type from CWE-94.
Summary
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, TensorFlow's `saved_model_cli` tool is vulnerable to a code injection. This can be used to open a reverse shell. This code path was maintained for compatibility reasons as the maintainers had several test cases where numpy expressions were used as arguments. However, given that the tool is always run manually, the impact of this is still not severe. The maintainers have now removed the `safe=False` argument, so all parsing is done without calling `eval`. The patch is available in versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4.
Why it matters now
Exploitation Proof of concept CISA SSVC · not in CISA KEV
EPSS 0.00549 46th percentileScored 2026-11-07
Public exploit Yes 1 exploit referenceTagged by NVD
Fix Fixed tensorflow (tensorflow): 2.6.4, 2.7.2, 2.8.1 +1tensorflow (PyPI): 2.6.4, 2.7.2, 2.8.1+2 more products
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- Poc
- Automatable
- No
- Technical impact
- Total
The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.
Affected products
| Vendor | Product | Affected versions | Fixed in | Status | Source |
|---|---|---|---|---|---|
| tensorflow | before 2.6.4; 2.7.0rc0 to before 2.7.2; 2.8.0rc0 to before 2.8.1; 2.9.0rc0 to before 2.9.0 | 2.6.4, 2.7.2, 2.8.1, 2.9.0 | Patch available | CNA | |
| — | tensorflow (PyPI) | before 2.6.4 | 2.6.4 | Patch available | GHSA-75c9-jrh4-79mc |
| — | tensorflow-cpu (PyPI) | before 2.6.4 | 2.6.4 | Patch available | GHSA-75c9-jrh4-79mc |
| — | tensorflow-gpu (PyPI) | before 2.6.4 | 2.6.4 | Patch available | GHSA-75c9-jrh4-79mc |
| — | tensorflow (PyPI) | 2.7.0 to before 2.7.2 | 2.7.2 | Patch available | GHSA-75c9-jrh4-79mc |
| — | tensorflow (PyPI) | 2.8.0 to before 2.8.1 | 2.8.1 | Patch available | GHSA-75c9-jrh4-79mc |
| — | tensorflow-cpu (PyPI) | 2.7.0 to before 2.7.2 | 2.7.2 | Patch available | GHSA-75c9-jrh4-79mc |
| — | tensorflow-cpu (PyPI) | 2.8.0 to before 2.8.1 | 2.8.1 | Patch available | GHSA-75c9-jrh4-79mc |
| — | tensorflow-gpu (PyPI) | 2.7.0 to before 2.7.2 | 2.7.2 | Patch available | GHSA-75c9-jrh4-79mc |
| — | tensorflow-gpu (PyPI) | 2.8.0 to before 2.8.1 | 2.8.1 | Patch available | GHSA-75c9-jrh4-79mc |
- tensorflow VendorGoogle Affected before 2.6.4; 2.7.0rc0 to before 2.7.2; 2.8.0rc0 to before 2.8.1; 2.9.0rc0 to before 2.9.0 Fixed in 2.6.4, 2.7.2, 2.8.1, 2.9.0 Patch available CNA
- tensorflow (PyPI) Vendor— Affected before 2.6.4 Fixed in 2.6.4 Patch available GHSA-75c9-jrh4-79mc
- tensorflow-cpu (PyPI) Vendor— Affected before 2.6.4 Fixed in 2.6.4 Patch available GHSA-75c9-jrh4-79mc
- tensorflow-gpu (PyPI) Vendor— Affected before 2.6.4 Fixed in 2.6.4 Patch available GHSA-75c9-jrh4-79mc
- tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.2 Fixed in 2.7.2 Patch available GHSA-75c9-jrh4-79mc
- tensorflow (PyPI) Vendor— Affected 2.8.0 to before 2.8.1 Fixed in 2.8.1 Patch available GHSA-75c9-jrh4-79mc
- tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.2 Fixed in 2.7.2 Patch available GHSA-75c9-jrh4-79mc
- tensorflow-cpu (PyPI) Vendor— Affected 2.8.0 to before 2.8.1 Fixed in 2.8.1 Patch available GHSA-75c9-jrh4-79mc
- tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.2 Fixed in 2.7.2 Patch available GHSA-75c9-jrh4-79mc
- tensorflow-gpu (PyPI) Vendor— Affected 2.8.0 to before 2.8.1 Fixed in 2.8.1 Patch available GHSA-75c9-jrh4-79mc
CPE configurations NVD · 8
| CPE | Versions | Role | Vendor |
|---|---|---|---|
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | before 2.6.4; 2.7.0 to before 2.7.2 | Vulnerable | |
| cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:* | 2.7.0 rc0 | Vulnerable | |
| cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:* | 2.7.0 rc1 | Vulnerable | |
| cpe:2.3:a:google:tensorflow:2.8.0:-:*:*:*:*:*:* | 2.8.0 | Vulnerable | |
| cpe:2.3:a:google:tensorflow:2.8.0:rc0:*:*:*:*:*:* | 2.8.0 rc0 | Vulnerable | |
| cpe:2.3:a:google:tensorflow:2.8.0:rc1:*:*:*:*:*:* | 2.8.0 rc1 | Vulnerable | |
| cpe:2.3:a:google:tensorflow:2.9.0:rc0:*:*:*:*:*:* | 2.9.0 rc0 | Vulnerable | |
| cpe:2.3:a:google:tensorflow:2.9.0:rc1:*:*:*:*:*:* | 2.9.0 rc1 | Vulnerable |
- cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* Versions before 2.6.4; 2.7.0 to before 2.7.2 Vulnerable ·Google
- cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:* Versions 2.7.0 rc0 Vulnerable ·Google
- cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:* Versions 2.7.0 rc1 Vulnerable ·Google
- cpe:2.3:a:google:tensorflow:2.8.0:-:*:*:*:*:*:* Versions 2.8.0 Vulnerable ·Google
- cpe:2.3:a:google:tensorflow:2.8.0:rc0:*:*:*:*:*:* Versions 2.8.0 rc0 Vulnerable ·Google
- cpe:2.3:a:google:tensorflow:2.8.0:rc1:*:*:*:*:*:* Versions 2.8.0 rc1 Vulnerable ·Google
- cpe:2.3:a:google:tensorflow:2.9.0:rc0:*:*:*:*:*:* Versions 2.9.0 rc0 Vulnerable ·Google
- cpe:2.3:a:google:tensorflow:2.9.0:rc1:*:*:*:*:*:* Versions 2.9.0 rc1 Vulnerable ·Google
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 2.6.4, 2.7.2, 2.8.1, 2.9.0
- Fix · GHSA-75c9-jrh4-79mc tensorflow (PyPI) Fixed in 2.6.4 Advisory →
- Fix · GHSA-75c9-jrh4-79mc tensorflow-cpu (PyPI) Fixed in 2.6.4 Advisory →
- Fix · GHSA-75c9-jrh4-79mc tensorflow-gpu (PyPI) Fixed in 2.6.4 Advisory →
- Fix · GHSA-75c9-jrh4-79mc tensorflow (PyPI) Fixed in 2.7.2 Advisory →
- Fix · GHSA-75c9-jrh4-79mc tensorflow (PyPI) Fixed in 2.8.1 Advisory →
- Fix · GHSA-75c9-jrh4-79mc tensorflow-cpu (PyPI) Fixed in 2.7.2 Advisory →
- Fix · GHSA-75c9-jrh4-79mc tensorflow-cpu (PyPI) Fixed in 2.8.1 Advisory →
- Fix · GHSA-75c9-jrh4-79mc tensorflow-gpu (PyPI) Fixed in 2.7.2 Advisory →
- Fix · GHSA-75c9-jrh4-79mc tensorflow-gpu (PyPI) Fixed in 2.8.1 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2022-29216
- 2026-10-03 Alias added: GHSA-75c9-jrh4-79mc
References
Patch 2
Advisory 6
- https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4
- https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2
- https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1
- https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/tools/saved_model_cli.py#L566-L574
- https://nvd.nist.gov/vuln/detail/CVE-2022-29216
More Google Tensorflow vulnerabilities
- TI-2022-20241 FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow CVSS 3.1CRITICAL 9.8
- TI-2022-07640 Integer overflow in Tensorflow CVSS 3.1CRITICAL 9.8
- TI-2022-07627 Out of bounds read and write in Tensorflow CVSS 3.1HIGH 8.8
- TI-2022-07619 Out of bounds write in Tensorflow CVSS 3.1HIGH 8.8
- TI-2022-07613 Read and Write outside of bounds in TFLite CVSS 3.1HIGH 8.8
- TI-2022-07612 Integer overflow in TFLite CVSS 3.1HIGH 8.8
Sources
- CVE-2022-29216 · CVE Program
- CVE-2022-29216 · NVD
- FIRST EPSS
- GHSA-75c9-jrh4-79mc · GitHub Advisory Database · CC BY 4.0
This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences