AVID-2026-R0800
Description
Heap OOB and null pointer dereference in RaggedTensorToTensor (CVE-2021-29608)
Details
TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.raw_ops.RaggedTensorToTensor, an attacker can exploit an undefined behavior if input arguments are empty. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L356-L360) only checks that one of the tensors is not empty, but does not check for the other ones. There are multiple DCHECK validations to prevent heap OOB, but these are no-op in release builds, hence they don’t prevent anything. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits 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.
Reason for inclusion in AVID: CVE-2021-29608 describes a heap out-of-bounds and null pointer dereference in TensorFlow’s RaggedTensorToTensor op, a vulnerability in a core ML framework relevant to AI software stacks. It affects the TensorFlow package used to build/train/deploy AI systems, making it a software supply-chain issue for general-purpose AI systems. It’s a CVE with defined exploitation potential and impact (availability impact, potential memory safety issues), satisfying security/safety vulnerability criteria. The report provides explicit details, affected component, and references, supporting classification as a security vulnerability in the AI software supply chain.
References
- NVD entry
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rgvq-pcvf-hx75
- https://github.com/tensorflow/tensorflow/commit/b761c9b652af2107cfbc33efd19be0ce41daa33e
- https://github.com/tensorflow/tensorflow/commit/c4d7afb6a5986b04505aca4466ae1951686c80f6
- https://github.com/tensorflow/tensorflow/commit/f94ef358bb3e91d517446454edff6535bcfe8e4a
Affected or Relevant Artifacts
- Developer: tensorflow
- Deployer: tensorflow
- Artifact Details:
| Type | Name |
|---|---|
| System | tensorflow |
Impact
AVID Taxonomy Categorization
- Risk domains: Security
- SEP subcategories: S0100: Software Vulnerability
- Lifecycle stages: L06: Deployment
CVSS
| Version | 3.1 |
| Vector String | CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:H |
| Base Score | 5.3 |
| Base Severity | 🟠 Medium |
| Attack Vector | LOCAL |
| Attack Complexity | 🔴 High |
| Privileges Required | 🟢 Low |
| User Interaction | NONE |
| Scope | UNCHANGED |
| Confidentiality Impact | NONE |
| Integrity Impact | 🟢 Low |
| Availability Impact | 🔴 High |
CWE
| ID | Description |
|---|---|
| CWE-131 | CWE-131: Incorrect Calculation of Buffer Size |
Other information
- Report Type: Advisory
- Credits:
- Date Reported: 2021-05-14
- Version: 0.3.3
- AVID Entry