Get a Pentest and security assessment of your IT network.

2021-current

CVE-2020-26266 – In affected versions of TensorFlow under certain cases a saved model can

In affected versions of TensorFlow 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. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

 

Source: https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-26266

Reference (s):

  • https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2
  • URL: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2
  • https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2
  • URL: https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2
Related posts
2021-current

CVE-2004-1715 - Directory traversal vulnerability in MIMEsweeper for Web before 5.0.4 all

2021-current

CVE-2014-6594 - Unspecified vulnerability in the Oracle iLearning component in Oracle iLe

2021-current

CVE-2019-8457 - SQLite3 from 3.6.0 to and including 3.27.2 is vulnerable to heap out-of-b

2021-current

CVE-2020-12257 - rConfig 3.9.4 is vulnerable to cross-site request forgery (CSRF) because