GitHub Advisoryadvisory · PyPI
GHSA-844w-j86r-4x2j Heap buffer overflow in `UnsortedSegmentSum` in TensorFlow
LOW
Official page ↗
- Aliases
- CVE-2019-16778
- Ecosystem
- PyPI
- Packages
- tensorflow, tensorflow-cpu, tensorflow-gpu
- Severity
- Low
- CVSS vector
- CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:L
- Weaknesses
- CWE-122, CWE-681
- Reviewed
- 2019-12-16
Affected packages
• PyPI tensorflow: < 1.15.0 → fixed in 1.15.0
• PyPI tensorflow-cpu: < 1.15.0 → fixed in 1.15.0
• PyPI tensorflow-gpu: < 1.15.0 → fixed in 1.15.0
Description
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` for more information regarding the security model and how to contact us with issues and questions.
Related
Alias · CVE (1)
- CVE-2019-16778 In TensorFlow before 1.15, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. vulnerability
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-844w-j86r-4x2j web
- https://nvd.nist.gov/vuln/detail/CVE-2019-16778 advisory
- https://github.com/tensorflow/tensorflow/commit/db4f9717c41bccc3ce10099ab61996b246099892 web
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-227.yaml web
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-234.yaml web
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-209.yaml web
- https://github.com/tensorflow/tensorflow package
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2019-002.md web