CVE-2019-16778
LOW2.6EPSS 0.33%Heap buffer overflow in `UnsortedSegmentSum` in TensorFlow
描述
### Impact A heap buffer overflow in `UnsortedSegmentSum` can be produced when the `Index` template argument is `int32`. In this case `data_size` and `num_segments` fields are truncated from `int64` to `int32` and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally. We are making the security advisory only to notify users that it is better to update to TensorFlow 1.15 or 2.0 or later as these versions already have this fixed. ### Patches Patched by db4f9717c41bccc3ce10099ab61996b246099892 and released in all official releases after 1.15 and 2.0. ### For more information Please consult [`SECURITY.md`](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)
- PyPI/tensorflowfrom 0, < 1.15.0
- PyPI/tensorflowfrom 0, < db4f9717c41bccc3ce10099ab61996b246099892 | >= 1.0.0, < 1.15.0
- PyPI/tensorflow-cpufrom 0, < 1.15.0
- PyPI/tensorflow-cpufrom 0, < db4f9717c41bccc3ce10099ab61996b246099892 | >= 1.0.0, < 1.15.0
- PyPI/tensorflow-gpufrom 0, < 1.15.0
- PyPI/tensorflow-gpufrom 0, < db4f9717c41bccc3ce10099ab61996b246099892 | >= 1.0.0, < 1.15.0
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:P/PR:L/UI:P/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N |
| osv | CVSS 3.1 | LOW2.6 | CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:L |
參考連結(8)
- ADVISORYhttps://nvd.nist.gov/vuln/detail/CVE-2019-16778
- PATCHhttps://github.com/tensorflow/tensorflow
- WEBhttps://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-227.yaml
- WEBhttps://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-234.yaml
- WEBhttps://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-209.yaml
- WEBhttps://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2019-002.md
- WEBhttps://github.com/tensorflow/tensorflow/commit/db4f9717c41bccc3ce10099ab61996b246099892
- WEBhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-844w-j86r-4x2j