Buffer overflow in Google Tensorflow
CVE-2022-41902
TensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.
Vulnerability class: Buffer Overflow
EPSS: 0.004 (36.8th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 7.1 (High). Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H.
Affected products
- Google Tensorflow — versions 2.10.0
- Tensorflow — versions >= 2.10.0, < 2.10.1, >= 2.9.0, < 2.9.3, < 2.8.4
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (Patch, Third Party Advisory)
- security-advisories@github.com (Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory)
Frequently asked questions
- What is CVE-2022-41902?
- CVE-2022-41902 is a high-severity vulnerability in Google Tensorflow, classified under Out-of-bounds Write. CVSS score: 7.1/10. Published 2022-12-06.
- How severe is CVE-2022-41902?
- High severity. CVSS v3 base score is 7.1 out of 10.
- Is CVE-2022-41902 known to be exploited?
- 2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.