Vulnerability Monitor

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CVE-2020-15205

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.

Published

2020-09-25T19:15:15.823

Last Modified

2024-11-21T05:05:04.937

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 9.0 (CRITICAL)

CVSSv2 Vector

AV:N/AC:L/Au:N/C:P/I:P/A:P

  • Access Vector: NETWORK
  • Access Complexity: LOW
  • Authentication: NONE
  • Confidentiality Impact: PARTIAL
  • Integrity Impact: PARTIAL
  • Availability Impact: PARTIAL
Exploitability Score

10.0

Impact Score

6.4

Weaknesses
  • Type: Secondary
    CWE-119
    CWE-122
  • Type: Primary
    CWE-787
Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow < 1.15.4 Yes
Application google tensorflow < 2.0.3 Yes
Application google tensorflow < 2.1.2 Yes
Application google tensorflow < 2.2.1 Yes
Application google tensorflow < 2.3.1 Yes
Operating System opensuse leap 15.2 Yes
References