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    CVE-2021-29608

    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.

    Published:May 14, 2021
    Last Modified:Nov 21, 2024
    EPS:May 14, 2021
    EPSS Score:0.00057
    CVSS Score:5.3

    Affected Products

    Vendor
    Google
    Product
    Tensorflow

    Exploits

    https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rgvq-pcvf-hx75https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rgvq-pcvf-hx75

    Common Attack Pattern Enumeration and Classification (CAPEC)

    CAPEC-100 Overflow Buffers
    CAPEC-47 Buffer Overflow via Parameter Expansion

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    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High