CVE-2021-29512
LOW2.5EPSS 0.01%Heap buffer overflow in `RaggedBinCount`
描述
### Impact 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: ```python import tensorflow as tf tf.raw_ops.RaggedBincount(splits=[0], values=[1,1,1,1,1], size=5, weights=[1,2,3,4], binary_output=False) ``` 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-L433): ```cc for (int idx = 0; idx < num_values; ++idx) { while (idx >= splits(batch_idx)) { batch_idx++; } ... } ``` Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. ### Patches We have patched the issue in GitHub commit [eebb96c2830d48597d055d247c0e9aebaea94cd5](https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5). 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. ### 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 members of the Aivul Team from Qihoo 360.
受影響套件(7)
- Bitnami/tensorflow>= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
- PyPI/tensorflow>= 2.3.0, < 2.3.3
- PyPI/tensorflowfrom 0, < eebb96c2830d48597d055d247c0e9aebaea94cd5 | >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
- PyPI/tensorflow-cpufrom 0, < eebb96c2830d48597d055d247c0e9aebaea94cd5 | >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
- PyPI/tensorflow-cpu>= 2.3.0, < 2.3.3
- PyPI/tensorflow-gpufrom 0, < eebb96c2830d48597d055d247c0e9aebaea94cd5 | >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
- PyPI/tensorflow-gpu>= 2.3.0, < 2.3.3
CVSS 分數
| 來源 | 版本 | 嚴重程度 | 向量 |
|---|---|---|---|
| osv | CVSS 4.0 | — | CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:P/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N |
| osv | CVSS 3.1 | LOW2.5 | CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L |
參考連結(6)
- ADVISORYhttps://nvd.nist.gov/vuln/detail/CVE-2021-29512
- WEBhttps://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-440.yaml
- WEBhttps://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-638.yaml
- WEBhttps://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-149.yaml
- WEBhttps://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5
- WEBhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-4278-2v5v-65r4