Vulnerability in Google Tensorflow
CVE-2022-23585
Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., &decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
EPSS: 0.010 (59.0th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 4.3 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L.
Affected products
- Google Tensorflow — versions 2.7.0
- Tensorflow — versions < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Patch, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
- security-advisories@github.com (Exploit, Third Party Advisory, x_refsource_MISC)
Frequently asked questions
- What is CVE-2022-23585?
- CVE-2022-23585 is a medium-severity vulnerability in Google Tensorflow, classified under Missing Release of Memory after Effective Lifetime. CVSS score: 4.3/10. Published 2022-02-04.
- How severe is CVE-2022-23585?
- Medium severity. CVSS v3 base score is 4.3 out of 10.