CVE-2022-41884

Seg fault in ndarraytensorbridge due to zero and large inputs

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Attribution

This vulnerability has been reported by Pattarakrit Rattanukul.

If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error:

np.ones((0, 2**31, 2**31))

An example of a proof of concept:

import numpy as np
import tensorflow as tf

input_val = tf.constant([1])
shape_val = np.array([i for i in range(21)])

tf.broadcast_to(input=input_val,shape=shape_val)

The return value of PyArray_SimpleNewFromData, which returns null on such shapes, is not checked.

CVE-2022-41884 has a CVSS score of 4.8 (Medium). The vector is network-reachable, low privileges required, and user interaction required. A CVSS score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether this affects your application depends on whether the vulnerable code is present and reachable in your environment. A fixed version is available (2.8.4, 2.9.3, 2.10.1); upgrading removes the vulnerable code path.

Kodem intelligence

Already deployed Kodem?

We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784.

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

1. What is CVE-2022-41884? CVE-2022-41884 is a medium-severity security vulnerability in tensorflow (pip), affecting versions < 2.8.4. It is fixed in 2.8.4, 2.9.3, 2.10.1.
2. How severe is CVE-2022-41884? CVE-2022-41884 has a CVSS score of 4.8 (Medium). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.
3. Which packages are affected by CVE-2022-41884?
   • tensorflow (pip) (versions < 2.8.4)
   • tensorflow-cpu (pip) (versions < 2.8.4)
   • tensorflow-gpu (pip) (versions < 2.8.4)
4. Is there a fix for CVE-2022-41884? Yes. CVE-2022-41884 is fixed in 2.8.4, 2.9.3, 2.10.1. Upgrade to this version or later.
5. Is CVE-2022-41884 exploitable, and should I be worried? Whether CVE-2022-41884 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
6. What actually determines whether CVE-2022-41884 is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.
7. How do I fix CVE-2022-41884?
   • Upgrade tensorflow to 2.8.4 or later
   • Upgrade tensorflow to 2.9.3 or later
   • Upgrade tensorflow to 2.10.1 or later
   • Upgrade tensorflow-cpu to 2.8.4 or later
   • Upgrade tensorflow-gpu to 2.8.4 or later
   • Upgrade tensorflow-cpu to 2.9.3 or later
   • Upgrade tensorflow-gpu to 2.9.3 or later
   • Upgrade tensorflow-cpu to 2.10.1 or later
   • Upgrade tensorflow-gpu to 2.10.1 or later

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