CVE-2022-23570
MEDIUM6.5EPSS 0.51%Null-dereference in Tensorflow
描述
### Impact When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is [guarded by a `DCHECK`](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L104-L106): ```cc const auto* attr = attrs.Find(arg->s()); DCHECK(attr != nullptr); if (attr->value_case() == AttrValue::kList) { // ... } ``` However, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the second case it results in a crash due to the assertion failure. ### Patches We have patched the issue in GitHub commit [8a513cec4bec15961fbfdedcaa5376522980455c](https://github.com/tensorflow/tensorflow/commit/8a513cec4bec15961fbfdedcaa5376522980455c). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, 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.
受影響套件(6)
- Bitnami/tensorflowfrom 0, < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1
- PyPI/tensorflowfrom 0, < 2.5.3
- PyPI/tensorflow-cpufrom 0, < 2.5.3
- PyPI/tensorflow-cpufrom 0, < 8a513cec4bec15961fbfdedcaa5376522980455c | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
- PyPI/tensorflow-gpufrom 0, < 2.5.3
- PyPI/tensorflow-gpufrom 0, < 8a513cec4bec15961fbfdedcaa5376522980455c | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
CVSS 分數
| 來源 | 版本 | 嚴重程度 | 向量 |
|---|---|---|---|
| osv | CVSS 4.0 | — | CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N |
| osv | CVSS 3.1 | MEDIUM6.5 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
參考連結(7)
- ADVISORYhttps://nvd.nist.gov/vuln/detail/CVE-2022-23570
- WEBhttps://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-79.yaml
- WEBhttps://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-134.yaml
- WEBhttps://github.com/tensorflow/tensorflow
- WEBhttps://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L104-L106
- WEBhttps://github.com/tensorflow/tensorflow/commit/8a513cec4bec15961fbfdedcaa5376522980455c
- WEBhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-9p77-mmrw-69c7