Vulnerability in Google Tensorflow
CVE-2020-26268
In affected versions of TensorFlow the tf.raw_ops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the memory area. If the file is too small, TensorFlow properly returns an error as the memory area has fewer bytes than what is needed for the tensor it creates. However, as soon as there are enough bytes, the above snippet causes a segmentation fault. This is because the allocator used to return the buffer data is not marked as returning an opaque handle since the needed virtual method is not overridden. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
EPSS: 0.002 (11.3th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 4.4 (Medium). Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L.
Affected products
- Google Tensorflow
- Tensorflow — versions < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Exploit, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
Frequently asked questions
- What is CVE-2020-26268?
- CVE-2020-26268 is a medium-severity vulnerability in Google Tensorflow, classified under Modification of Assumed-Immutable Data (MAID). CVSS score: 4.4/10. Published 2020-12-10.
- How severe is CVE-2020-26268?
- Medium severity. CVSS v3 base score is 4.4 out of 10.