PyPi: Tensorflow

CVE-2020-15209

Safety vulnerability ID: 39960

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Sep 25, 2020 Updated at Oct 25, 2024
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Advisory

Tensorflow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1 include a fix for 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 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". 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. The issue was patched in commit 0b5662bc.

Affected package

tensorflow

Latest version: 2.18.0

TensorFlow is an open source machine learning framework for everyone.

Affected versions

Fixed versions

Vulnerability changelog

Bug Fixes and Other Changes
* Fixes an undefined behavior causing a segfault in `tf.raw_ops.Switch`
([CVE-2020-15190](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15190))
* Fixes three vulnerabilities in conversion to DLPack format
([CVE-2020-15191](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15191),
[CVE-2020-15192](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15192),
[CVE-2020-15193](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15193))
* Fixes two vulnerabilities in `SparseFillEmptyRowsGrad`
([CVE-2020-15194](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15194),
[CVE-2020-15195](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15195))
* Fixes an integer truncation vulnerability in code using the work sharder API
([CVE-2020-15202](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15202))
* Fixes a format string vulnerability in `tf.strings.as_string`
([CVE-2020-15203](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15203))
* Fixes segfault raised by calling session-only ops in eager mode
([CVE-2020-15204](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15204))
* Fixes data leak and potential ASLR violation from `tf.raw_ops.StringNGrams`
([CVE-2020-15205](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15205))
* Fixes segfaults caused by incomplete `SavedModel` validation
([CVE-2020-15206](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15206))
* Fixes a data corruption due to a bug in negative indexing support in TFLite
([CVE-2020-15207](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15207))
* Fixes a data corruption due to dimension mismatch in TFLite
([CVE-2020-15208](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15208))
* Fixes several vulnerabilities in TFLite saved model format
([CVE-2020-15209](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15209),
[CVE-2020-15210](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15210),
[CVE-2020-15211](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15211))
* Updates `sqlite3` to `3.33.00` to handle
[CVE-2020-9327](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-9327),
[CVE-2020-11655](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-11655),
[CVE-2020-11656](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-11656),
[CVE-2020-13434](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13434),
[CVE-2020-13435](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13435),
[CVE-2020-13630](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13630),
[CVE-2020-13631](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13631),
[CVE-2020-13871](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-13871),
and
[CVE-2020-15358](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15358).
* Pins `numpy` to 1.18.5 to prevent ABI breakage when compiling code that uses
both NumPy and TensorFlow headers.

Resources

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Severity Details

CVSS Base Score

MEDIUM 5.9

CVSS v3 Details

MEDIUM 5.9
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
HIGH
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Availability (A)
HIGH

CVSS v2 Details

MEDIUM 4.3
Access Vector (AV)
NETWORK
Access Complexity (AC)
MEDIUM
Authentication (Au)
NONE
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Impact (A)
PARTIAL