7.8
CVE-2021-41203
- EPSS 0.04%
- Published 05.11.2021 21:15:08
- Last modified 21.11.2024 06:25:45
- Source security-advisories@github.com
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TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Data is provided by the National Vulnerability Database (NVD)
Google ≫ Tensorflow Version < 2.4.4
Google ≫ Tensorflow Version >= 2.5.0 < 2.5.2
Google ≫ Tensorflow Version >= 2.6.0 < 2.6.1
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
Type | Source | Score | Percentile |
---|---|---|---|
EPSS | FIRST.org | 0.04% | 0.091 |
Source | Base Score | Exploit Score | Impact Score | Vector string |
---|---|---|---|---|
nvd@nist.gov | 7.8 | 1.8 | 5.9 |
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
|
nvd@nist.gov | 4.6 | 3.9 | 6.4 |
AV:L/AC:L/Au:N/C:P/I:P/A:P
|
security-advisories@github.com | 7.8 | 1.8 | 5.9 |
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
|
CWE-190 Integer Overflow or Wraparound
The product performs a calculation that can produce an integer overflow or wraparound when the logic assumes that the resulting value will always be larger than the original value. This occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may become a very small or negative number.
CWE-345 Insufficient Verification of Data Authenticity
The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data.