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GHSA-ph87-fvjr-v33w BIT-tensorflow-2021-29563 CVE-2021-29563 PYSEC-2021-200 PYSEC-2021-491 PYSEC-2021-689

CHECK-fail in `tf.raw_ops.RFFT`

Low PyPI
Severity
0.0 / 10
Low · CVSS 4.0
Exploit chance (EPSS)
0.19%
Chance of exploitation in the next 30 days. Higher than 8.58% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-617 Reachable Assertion
Fix
Available
3 packages have a fixed version

Description

Impact

An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT:

import tensorflow as tf

inputs = tf.constant([1], shape=[1], dtype=tf.float32)
fft_length = tf.constant([0], shape=[1], dtype=tf.int32)

tf.raw_ops.RFFT(input=inputs, fft_length=fft_length)

The above example causes Eigen code to operate on an empty matrix. This triggers on an assertion and causes program termination.

Patches

We have patched the issue in GitHub commit 31bd5026304677faa8a0b77602c6154171b9aec1.

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team.

Affected versions

PyPI

PackageVulnerableFixed in
tensorflow
< 2.1.4
2.1.4
tensorflow
>= 2.2.0, < 2.2.3
2.2.3
tensorflow
>= 2.3.0, < 2.3.3
2.3.3
tensorflow
>= 2.4.0, < 2.4.2
2.4.2
tensorflow
< 2.2.0rc0
>= 2.2.0, < 2.3.0rc0
>= 2.3.0, < 2.3.4
>= 2.4.0, < 2.4.3
2.2.0rc0
2.3.0rc0
2.3.4
2.4.3
tensorflow-cpu
< 2.1.4
2.1.4
tensorflow-cpu
>= 2.2.0, < 2.2.3
2.2.3
tensorflow-cpu
>= 2.3.0, < 2.3.3
2.3.3
tensorflow-cpu
>= 2.4.0, < 2.4.2
2.4.2
tensorflow-cpu
< 2.2.0rc0
>= 2.2.0, < 2.3.0rc0
>= 2.3.0, < 2.3.4
>= 2.4.0, < 2.4.3
2.2.0rc0
2.3.0rc0
2.3.4
2.4.3
tensorflow-gpu
< 2.1.4
2.1.4
tensorflow-gpu
>= 2.2.0, < 2.2.3
2.2.3
tensorflow-gpu
>= 2.3.0, < 2.3.3
2.3.3
tensorflow-gpu
>= 2.4.0, < 2.4.2
2.4.2
tensorflow-gpu
< 2.2.0rc0
>= 2.2.0, < 2.3.0rc0
>= 2.3.0, < 2.3.4
>= 2.4.0, < 2.4.3
2.2.0rc0
2.3.0rc0
2.3.4
2.4.3

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

tensorflow PyPI → 2.1.4

pip
pip install --upgrade "tensorflow>=2.1.4"
poetry
poetry add "tensorflow>=2.1.4"
uv
uv add "tensorflow>=2.1.4"

tensorflow-cpu PyPI → 2.1.4

pip
pip install --upgrade "tensorflow-cpu>=2.1.4"
poetry
poetry add "tensorflow-cpu>=2.1.4"
uv
uv add "tensorflow-cpu>=2.1.4"

tensorflow-gpu PyPI → 2.1.4

pip
pip install --upgrade "tensorflow-gpu>=2.1.4"
poetry
poetry add "tensorflow-gpu>=2.1.4"
uv
uv add "tensorflow-gpu>=2.1.4"

Severity breakdown

CVSS 4.0 0.0

CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

Attack vector
Local
Attack complexity
Low
Attack requirements
Present
Privileges required
Low
User interaction
None
Confidentiality (vulnerable system)
None
Integrity (vulnerable system)
None
Availability (vulnerable system)
Low
Confidentiality (subsequent systems)
None
Integrity (subsequent systems)
None
Availability (subsequent systems)
None

CVSS 3.1 2.5

CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

Attack vector
Local
Attack complexity
High
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
Low

Weakness

CWE-617: Reachable Assertion

The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.

How to prevent it
  • Implementation: Make sensitive open/close operation non reachable by directly user-controlled data (e.g. open/close resources)
  • Implementation: Perform input validation on user data.

References

Advisories

Packages

Other links

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-gjh7-xx4r-x345
TensorFlow has segfault in array_ops.upper_bound
High Also affects tensorflow
GHSA-fxgc-95xx-grvq
TensorFlow Denial of Service vulnerability
Medium Also affects tensorflow
GHSA-93vr-9q9m-pj8p
TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch
High Also affects tensorflow
GHSA-qjqc-vqcf-5qvj
TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
High Also affects tensorflow
GHSA-7jvm-xxmr-v5cw
TensorFlow vulnerable to integer overflow in EditDistance
High Also affects tensorflow
GHSA-64jg-wjww-7c5w
TensorFlow has Null Pointer Error in TensorArrayConcatV2
High Also affects tensorflow
GHSA-6hg6-5c2q-7rcr
TensorFlow has Heap-buffer-overflow in AvgPoolGrad
High Also affects tensorflow
GHSA-558h-mq8x-7q9g
TensorFlow has Null Pointer Error in SparseSparseMaximum
High Also affects tensorflow
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