CVE-2020-152087.4HighCWE-125

CVE-2020-15208: Data corruption in tensorflow-lite

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.

0.9%probability of exploitation in the next 30 days

60th percentile

050100

Higher than 60% of scored CVEs

7.4HighCVSS 3.1

LowMediumHighCrit.

DescriptionCVE.org

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, 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: Out-of-bounds Read · Memory Corruption
Vendor: tensorflow
Published: September 2020
Band: Unlikely (under 1%), September 2020

CoverageNo articles yet

No CyberSIXT article names CVE-2020-15208 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.