CVE-2020-15190
5.3
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Exploitability: 3.9 / Impact: 1.4
Source: NVD
Description
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `tf.raw_ops.Switch` operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. However, the eager runtime traverses all tensors in the output. Since only one of the tensors is defined, the other one is `nullptr`, hence we are binding a reference to `nullptr`. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. In this case, this results in a segmentation fault The issue is patched in commit da8558533d925694483d2c136a9220d6d49d843c, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Affected (6)
Products: Google: Tensorflow · Opensuse: Leap
Configuration A
| Vulnerable Software | Affected Versions |
|---|---|
| Before 1.15.4 |
Related CWEs
CWE-20
Improper Input Validation
The product receives input or data, but it does
not validate or incorrectly validates that the input has the
properties that are required to process the data safely and
correctly.
CWE-476
NULL Pointer Dereference
The product dereferences a pointer that it expects to be valid but is NULL.
References (8)
Source: security-advisories@github.com
Mailing ListThird Party Advisory
Source: security-advisories@github.com
PatchThird Party Advisory
Source: security-advisories@github.com
Third Party Advisory
Source: security-advisories@github.com
ExploitThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
Mailing ListThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
Third Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
ExploitThird Party Advisory
Timeline
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