CVE-2020-5215: Segmentation faultin TensorFlow when converting a Python string to tf.float16
Affected: TensorFlow · Exploitation: unlikely (under 1%)
Not in CyberSIXT coverage yet: no article names this CVE. This page shows the public record.
Higher than 48% of scored CVEs
DescriptionCVE.org
In TensorFlow before 1.15.2 and 2.0.1, converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value. Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions. This can be easily reproduced by tf.constant("hello", tf.float16), if eager execution is enabled. This issue is patched in TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched. TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected. Users are encouraged to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.
Affected products1
From the CVE record. A product or version that is not listed is unknown, not unaffected.
- TensorFlow · TensorFlow< 1.15.2; = 2.0.0
On the Atlas
Every published CVE is on the CyberSIXT Atlas, grouped by weakness, vendor and month.
- Exploitation
- Unlikely (under 1%). EPSS under 1%, or no score yet.
- CISA KEV
- Not listed
- Public check
- No public nuclei template
- Vendor
- TensorFlow
- Published
- January 2020
CoverageNo articles yet
No CyberSIXT article names CVE-2020-5215 yet, so there is no coverage timeline, action brief or change log for it. Everything on this page comes from the public CVE record, CISA KEV, EPSS and the nuclei template index. Search the archive or see the CVEs in the news.
References
- NVD entrynvd.nist.gov
- CVE recordcve.org
- Weakness CWE-754cwe.mitre.org
- github.com/tensorflow/tensorflow/security/advisories/GHSA-977j-xgithub.com
- github.com/tensorflow/tensorflow/commit/5ac1b9e24ff6afc465756edfgithub.com
- github.com/tensorflow/tensorflow/releases/tag/v1.15.2github.com
- github.com/tensorflow/tensorflow/releases/tag/v2.0.1github.com