CVE-2020-152069.0CriticalCWE-20

CVE-2020-15206: Denial of Service in Tensorflow

tensorflow

Vendor fix available · Affected: tensorflow · Exploitation: unlikely (under 1%)

Not in CyberSIXT coverage yet: no article names this CVE. This page shows the public record.

1.0%probability of exploitation in the next 30 days

61st percentile

050100

Higher than 61% of scored CVEs

9.0CriticalCVSS 3.1

LowMediumHighCrit.

DescriptionCVE.org

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Affected products1

From the CVE record. A product or version that is not listed is unknown, not unaffected.

tensorflow · tensorflow< 1.15.4; >= 2.0.0, < 2.0.3; >= 2.1.0, < 2.1.2; >= 2.2.0, < 2.2.1; >= 2.3.0, < 2.3.1

On the Atlas

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Open the Atlas

Exploitation: Unlikely (under 1%). EPSS under 1%, or no score yet.
CISA KEV: Not listed
Public check: No public nuclei template
Weakness: Improper Input Validation · Input Validation and Logic
Vendor: tensorflow
Published: September 2020
Band: Unlikely (under 1%), September 2020

CoverageNo articles yet

No CyberSIXT article names CVE-2020-15206 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.