Heap out of bounds write in `RaggedBinCount`
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 · NVD. Fix status from CNA and GitHub. Impact type from CWE-787 and the CVSS impact.
Summary
TensorFlow is an end-to-end open source platform for machine learning. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L446). Before the `for` loop, `batch_idx` is set to 0. The attacker sets `splits(0)` to be 7, hence the `while` loop does not execute and `batch_idx` remains 0. This then results in writing to `out(-1, bin)`, which is before the heap allocated buffer for the output tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.
Why it matters now
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 | before 2.3.3; 2.4.0 to before 2.4.2 | 2.3.3, 2.4.2 | Patch available | CNA | |
| — | tensorflow (PyPI) | 2.3.0 to before 2.3.3 | 2.3.3 | Patch available | GHSA-8h46-5m9h-7553 |
| — | tensorflow (PyPI) | 2.4.0 to before 2.4.2 | 2.4.2 | Patch available | GHSA-8h46-5m9h-7553 |
| — | tensorflow-cpu (PyPI) | 2.3.0 to before 2.3.3 | 2.3.3 | Patch available | GHSA-8h46-5m9h-7553 |
| — | tensorflow-cpu (PyPI) | 2.4.0 to before 2.4.2 | 2.4.2 | Patch available | GHSA-8h46-5m9h-7553 |
| — | tensorflow-gpu (PyPI) | 2.3.0 to before 2.3.3 | 2.3.3 | Patch available | GHSA-8h46-5m9h-7553 |
| — | tensorflow-gpu (PyPI) | 2.4.0 to before 2.4.2 | 2.4.2 | Patch available | GHSA-8h46-5m9h-7553 |
- tensorflow VendorGoogle Affected before 2.3.3; 2.4.0 to before 2.4.2 Fixed in 2.3.3, 2.4.2 Patch available CNA
- tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-8h46-5m9h-7553
- tensorflow (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-8h46-5m9h-7553
- tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-8h46-5m9h-7553
- tensorflow-cpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-8h46-5m9h-7553
- tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-8h46-5m9h-7553
- tensorflow-gpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-8h46-5m9h-7553
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 2.3.3, 2.4.2
- Fix · GHSA-8h46-5m9h-7553 tensorflow (PyPI) Fixed in 2.3.3 Advisory →
- Fix · GHSA-8h46-5m9h-7553 tensorflow (PyPI) Fixed in 2.4.2 Advisory →
- Fix · GHSA-8h46-5m9h-7553 tensorflow-cpu (PyPI) Fixed in 2.3.3 Advisory →
- Fix · GHSA-8h46-5m9h-7553 tensorflow-cpu (PyPI) Fixed in 2.4.2 Advisory →
- Fix · GHSA-8h46-5m9h-7553 tensorflow-gpu (PyPI) Fixed in 2.3.3 Advisory →
- Fix · GHSA-8h46-5m9h-7553 tensorflow-gpu (PyPI) Fixed in 2.4.2 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2021-29514
- 2026-10-03 Alias added: GHSA-8h46-5m9h-7553
References
Other 4
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-442.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-640.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-151.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-2021-29514 · CVE Program
- CVE-2021-29514 · NVD
- FIRST EPSS
- GHSA-8h46-5m9h-7553 · GitHub Advisory Database · CC BY 4.0
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