CVE-2020-15196 - CVE House
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Status published High CVE-2020-15196

Heap buffer overflow in Tensorflow

Vulnerability Description

In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

Impact Analysis

Refer to official advisory for detailed impact metrics.

Remediation

Ensure systems are updated to the latest vendor-supplied patch levels.

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Credits & Attribution

No credits recorded in the NVD database.

References

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Affected Vendor

Affected Software

tensorflow
Vulnerable Versions:
= 2.3.0

Timeline

Official Publish: September 25th, 2020
Last Modified: August 4th, 2024
Added to House: July 21st, 2026

CVSS Vectors

V3: CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H

Weaknesses (CWE)

CWE-119 CWE-122

MITRE ATT&CK TTPs

T1068 Exploitation for Privilege Escalation
Privilege Escalation
T1203 Exploitation for Client Execution
Execution
T1055 Process Injection
Defense Evasion
T1105 Ingress Tool Transfer
Command and Control