CVE-2020-152029.0CriticalCWE-197

CVE-2020-15202: Integer truncation in Shard API usage

tensorflow

Vendor fix available · Affected: tensorflow · Exploitation: possible (1 to 10%)

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

1.3%probability of exploitation in the next 30 days

70th percentile

050100

Higher than 70% 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, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, 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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Exploitation: Possible (1 to 10%). EPSS between 1% and 10%.
CISA KEV: Not listed
Public check: No public nuclei template
Weakness: Numeric Truncation Error · Memory Corruption
Vendor: tensorflow
Published: September 2020
Band: Possible (1 to 10%), September 2020

CoverageNo articles yet

No CyberSIXT article names CVE-2020-15202 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.