GitHub Advisoryadvisory · PyPI
GHSA-qh32-6jjc-qprm Null pointer dereference in tensorflow-lite
HIGH
Official page ↗
- Aliases
- CVE-2020-15209
- Ecosystem
- PyPI
- Packages
- tensorflow, tensorflow-cpu, tensorflow-gpu
- Severity
- High
- CVSS vector
- CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
- Weaknesses
- CWE-476
- Reviewed
- 2020-09-25
Affected packages
• PyPI tensorflow: < 1.15.4 → fixed in 1.15.4
• PyPI tensorflow: >= 2.0.0, < 2.0.3 → fixed in 2.0.3
• PyPI tensorflow: >= 2.1.0, < 2.1.2 → fixed in 2.1.2
• PyPI tensorflow: >= 2.2.0, < 2.2.1 → fixed in 2.2.1
• PyPI tensorflow: >= 2.3.0, < 2.3.1 → fixed in 2.3.1
• PyPI tensorflow-cpu: < 1.15.4 → fixed in 1.15.4
• PyPI tensorflow-cpu: >= 2.0.0, < 2.0.3 → fixed in 2.0.3
• PyPI tensorflow-cpu: >= 2.1.0, < 2.1.2 → fixed in 2.1.2
• PyPI tensorflow-cpu: >= 2.2.0, < 2.2.1 → fixed in 2.2.1
• PyPI tensorflow-cpu: >= 2.3.0, < 2.3.1 → fixed in 2.3.1
• PyPI tensorflow-gpu: < 1.15.4 → fixed in 1.15.4
• PyPI tensorflow-gpu: >= 2.0.0, < 2.0.3 → fixed in 2.0.3
• PyPI tensorflow-gpu: >= 2.1.0, < 2.1.2 → fixed in 2.1.2
• PyPI tensorflow-gpu: >= 2.2.0, < 2.2.1 → fixed in 2.2.1
• PyPI tensorflow-gpu: >= 2.3.0, < 2.3.1 → fixed in 2.3.1
Description
Impact
A crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one. The runtime assumes that these buffers are written to before a possible read, hence they are initialized with `nullptr`:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/core/subgraph.cc#L1224-L1227
However, by changing the buffer index for a tensor and implicitly converting that tensor to be a read-write one, as there is nothing in the model that writes to it, we get a null pointer dereference.
Patches
We have patched the issue in 0b5662bc and will release patch releases for all versions between 1.15 and 2.3.
We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
For more information
Please consult our security guide 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 but was also discovered through variant analysis of GHSA-cvpc-8phh-8f45.
Related
Alias · CVE (1)
- CVE-2020-15209 In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor… vulnerability
Weakness · CWE (1)
- CWE-476 NULL Pointer Dereference weakness
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qh32-6jjc-qprm web
- https://nvd.nist.gov/vuln/detail/CVE-2020-15209 advisory
- https://github.com/tensorflow/tensorflow/commit/0b5662bc2be13a8c8f044d925d87fb6e56247cd8 web
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-289.yaml web
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-324.yaml web
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-132.yaml web
- https://github.com/tensorflow/tensorflow package
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 web
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html web