CVE-2020-15205
Description
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the data_splits argument of tf.raw_ops.StringNGrams lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory In the linked code snippet, all the binary strings after ee ff are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR. The issue is patched in commit 0462de5b544ed4731aa2fb23946ac22c01856b80, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
Risk Information
Base Score
9.8
MODERATE
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score
Exploitation Probability
0.544
Associated Vulnerability
| Vulnerability | OS Platform |
|---|---|
| Multiple vulnerabilities are fixed in Python-tensorflow 1.15.4 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow 2.0.3 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow 2.1.2 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow 2.2.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow 2.3.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 1.15.4 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.1.2 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.2.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu 2.3.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 1.15.4 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.0.3 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.1.2 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.2.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu 2.3.1 | Windows |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 1.15.4 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.0.3 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.1.2 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.2.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow for linux 2.3.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 1.15.4 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.1.2 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.2.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-cpu for linux 2.3.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 1.15.4 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.0.3 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.1.2 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.2.1 | Linux |
| Multiple vulnerabilities are fixed in Python-tensorflow-gpu for linux 2.3.1 | Linux |
Patch Details
No records foundReferences
https://nvd.nist.gov/vuln/detail/CVE-2023-1234
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-1234