What is the CVSS score of CVE-2021-29519?

CVE-2021-29519 has a CVSS 3.1 base score of 5.5 (Medium). CVSS vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H. EPSS exploitation probability: 0.2%.

Is there a public PoC exploit available for CVE-2021-29519?

Yes, a public proof-of-concept exploit is available for CVE-2021-29519. Prioritise patching immediately. EPSS: 0.2%.

Is there a patch available for CVE-2021-29519?

Yes, a patch is available for CVE-2021-29519. Update the affected software to the latest version immediately.

Tensorflow CVE-2021-29519

MEDIUM

Access of Resource Using Incompatible Type (Type Confusion) (CWE-843)

2021-05-14 security-advisories@github.com

Denial Of Service Memory Corruption Tensorflow

5.5

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

5.5 MEDIUM

AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

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

Attack Vector

Local

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

None

Integrity

None

Availability

High

Lifecycle Timeline

CVE Published

May 14, 2021 - 20:15 nvd

MEDIUM 5.5

Blast Radius

ecosystem impact

† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth

83 pypi packages depend on tensorflow (82 direct, 1 indirect)
1 pypi packages depend on tensorflow-cpu (1 direct, 0 indirect)
2 pypi packages depend on tensorflow-gpu (2 direct, 0 indirect)

Ecosystem-wide dependent count for version 2.2.0 and other introduced versions.

DescriptionNVD

TensorFlow is an end-to-end open source platform for machine learning. The API of tf.raw_ops.SparseCross allows combinations which would result in a CHECK-failure and denial of service. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3d782b7d47b1bf2ed32bd4a246d6d6cadc4c903d/tensorflow/core/kernels/sparse_cross_op.cc#L114-L116) is tricked to consider a tensor of type tstring which in fact contains integral elements. Fixing the type confusion by preventing mixing DT_STRING and DT_INT64 types solves this issue. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

AnalysisAI

TensorFlow is an end-to-end open source platform for machine learning. Rated medium severity (CVSS 5.5), this vulnerability is low attack complexity. Public exploit code available.

Technical ContextAI

This vulnerability is classified as Access of Resource Using Incompatible Type (Type Confusion) (CWE-843), which allows attackers to execute arbitrary code by exploiting type confusion in the application. TensorFlow is an end-to-end open source platform for machine learning. The API of tf.raw_ops.SparseCross allows combinations which would result in a CHECK-failure and denial of service. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3d782b7d47b1bf2ed32bd4a246d6d6cadc4c903d/tensorflow/core/kernels/sparse_cross_op.cc#L114-L116) is tricked to consider a tensor of type tstring which in fact contains integral elements. Fixing the type confusion by preventing mixing DT_STRING and DT_INT64 types solves this issue. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. Affected products include: Google Tensorflow.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Enforce strict type checking, use type-safe languages, validate object types before operations.