CVE-2020-26266 – tensorflow
Package
Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <1.15.5 || >=2.0.0 <2.0.4 || >=2.1.0 <2.1.3 || >=2.2.0 <2.2.2 || >=2.3.0 <2.3.2
Severity
Level: Medium
CVSS v3.1: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
CVSS v4.0: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N
EPSS: 0.00051 pctl0.15647
Details
Uninitialized memory access in TensorFlow ### Impact Under certain cases, a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to [default initialize the quantized floating point types in Eigen](https://github.com/tensorflow/tensorflow/blob/f70160322a579144950dff1537dcbe3c7c09d6f5/third_party/eigen3/unsupported/Eigen/CXX11/src/FixedPoint/FixedPointTypes.h#L61-L104): ```cc struct QUInt8 { QUInt8() {} // ... uint8_t value; }; struct QInt16 { QInt16() {} // ... int16_t value; }; struct QUInt16 { QUInt16() {} // ... uint16_t value; }; struct QInt32 { QInt32() {} // ... int32_t value; }; ``` ### Patches We have patched the issue in GitHub commit [ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2](https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2) and will release TensorFlow 2.4.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. Since this issue also impacts TF versions before 2.4, we will patch all releases between 1.15 and 2.3 inclusive. ### 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.
Metadata
Created: 2020-12-10T19:07:24Z
Modified: 2024-10-28T19:57:07Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2020/12/GHSA-qhxx-j73r-qpm2/GHSA-qhxx-j73r-qpm2.json
CWE IDs: ["CWE-908"]
Alternative ID: GHSA-qhxx-j73r-qpm2
Finding: F138
Auto approve: 1