A use of uninitialized value vulnerability in Tensorflow
Priority LOW 33CWE-908Published · Updated
Key facts
- Attack vector
- Local
- Privileges required
- Low
- User interaction
- None
- Attack complexity
- Low
- Impact type
- —
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- Fixed
Attack profile from CVSS 3.1 · NVD. Fix status from CNA and GitHub.
Summary
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. 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.
Why it matters now
EPSS 0.00196 9th percentileScored 2026-11-07
Public exploit Yes 1 exploit referenceTagged by NVD
Fix Fixed tensorflow (tensorflow): 2.6.1, 2.5.2, 2.4.4tensorflow (PyPI): 2.6.1, 2.5.2, 2.4.4+2 more products
SSVC decision points
Not available: CISA has not published SSVC decision points for this record.
Affected products
| Vendor | Product | Affected versions | Fixed in | Status | Source |
|---|---|---|---|---|---|
| tensorflow | 2.6.0 to before 2.6.1; 2.5.0 to before 2.5.2; before 2.4.4 | 2.6.1, 2.5.2, 2.4.4 | Patch available | CNA | |
| — | tensorflow (PyPI) | 2.6.0 to before 2.6.1 | 2.6.1 | Patch available | GHSA-7r94-xv9v-63jw |
| — | tensorflow (PyPI) | 2.5.0 to before 2.5.2 | 2.5.2 | Patch available | GHSA-7r94-xv9v-63jw |
| — | tensorflow (PyPI) | before 2.4.4 | 2.4.4 | Patch available | GHSA-7r94-xv9v-63jw |
| — | tensorflow-cpu (PyPI) | 2.6.0 to before 2.6.1 | 2.6.1 | Patch available | GHSA-7r94-xv9v-63jw |
| — | tensorflow-cpu (PyPI) | 2.5.0 to before 2.5.2 | 2.5.2 | Patch available | GHSA-7r94-xv9v-63jw |
| — | tensorflow-cpu (PyPI) | before 2.4.4 | 2.4.4 | Patch available | GHSA-7r94-xv9v-63jw |
| — | tensorflow-gpu (PyPI) | 2.6.0 to before 2.6.1 | 2.6.1 | Patch available | GHSA-7r94-xv9v-63jw |
| — | tensorflow-gpu (PyPI) | 2.5.0 to before 2.5.2 | 2.5.2 | Patch available | GHSA-7r94-xv9v-63jw |
| — | tensorflow-gpu (PyPI) | before 2.4.4 | 2.4.4 | Patch available | GHSA-7r94-xv9v-63jw |
- tensorflow VendorGoogle Affected 2.6.0 to before 2.6.1; 2.5.0 to before 2.5.2; before 2.4.4 Fixed in 2.6.1, 2.5.2, 2.4.4 Patch available CNA
- tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.1 Fixed in 2.6.1 Patch available GHSA-7r94-xv9v-63jw
- tensorflow (PyPI) Vendor— Affected 2.5.0 to before 2.5.2 Fixed in 2.5.2 Patch available GHSA-7r94-xv9v-63jw
- tensorflow (PyPI) Vendor— Affected before 2.4.4 Fixed in 2.4.4 Patch available GHSA-7r94-xv9v-63jw
- tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.1 Fixed in 2.6.1 Patch available GHSA-7r94-xv9v-63jw
- tensorflow-cpu (PyPI) Vendor— Affected 2.5.0 to before 2.5.2 Fixed in 2.5.2 Patch available GHSA-7r94-xv9v-63jw
- tensorflow-cpu (PyPI) Vendor— Affected before 2.4.4 Fixed in 2.4.4 Patch available GHSA-7r94-xv9v-63jw
- tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.1 Fixed in 2.6.1 Patch available GHSA-7r94-xv9v-63jw
- tensorflow-gpu (PyPI) Vendor— Affected 2.5.0 to before 2.5.2 Fixed in 2.5.2 Patch available GHSA-7r94-xv9v-63jw
- tensorflow-gpu (PyPI) Vendor— Affected before 2.4.4 Fixed in 2.4.4 Patch available GHSA-7r94-xv9v-63jw
CPE configurations NVD · 3
| CPE | Versions | Role | Vendor |
|---|---|---|---|
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 2.4.0 to before 2.4.4; 2.5.0 to before 2.5.2; 2.6.0 to before 2.6.1 | 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:*:*:*:*:*:*:*:* Versions 2.4.0 to before 2.4.4; 2.5.0 to before 2.5.2; 2.6.0 to before 2.6.1 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
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 2.6.1, 2.5.2, 2.4.4
- Fix · GHSA-7r94-xv9v-63jw tensorflow (PyPI) Fixed in 2.6.1 Advisory →
- Fix · GHSA-7r94-xv9v-63jw tensorflow (PyPI) Fixed in 2.5.2 Advisory →
- Fix · GHSA-7r94-xv9v-63jw tensorflow (PyPI) Fixed in 2.4.4 Advisory →
- Fix · GHSA-7r94-xv9v-63jw tensorflow-cpu (PyPI) Fixed in 2.6.1 Advisory →
- Fix · GHSA-7r94-xv9v-63jw tensorflow-cpu (PyPI) Fixed in 2.5.2 Advisory →
- Fix · GHSA-7r94-xv9v-63jw tensorflow-cpu (PyPI) Fixed in 2.4.4 Advisory →
- Fix · GHSA-7r94-xv9v-63jw tensorflow-gpu (PyPI) Fixed in 2.6.1 Advisory →
- Fix · GHSA-7r94-xv9v-63jw tensorflow-gpu (PyPI) Fixed in 2.5.2 Advisory →
- Fix · GHSA-7r94-xv9v-63jw tensorflow-gpu (PyPI) Fixed in 2.4.4 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2021-41225
- 2026-10-03 Alias added: GHSA-7r94-xv9v-63jw
References
Other 4
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-634.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-832.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-417.yaml
- https://github.com/tensorflow/tensorflow
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-2021-41225 · CVE Program
- CVE-2021-41225 · NVD
- FIRST EPSS
- GHSA-7r94-xv9v-63jw · GitHub Advisory Database · CC BY 4.0
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