CVE-2022-23594

    Dashboard / Vulnerabilities / CVE-2022-23594

    CVE-2022-23594

    Published: 4 Feb 2022Last Modified: 21 Oct 2026

    Summary: Out of bounds read in Tensorflow

    Details: Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.

    References: https://github.com/tensorflow/tensorflow/tree/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/ir/importexport, https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/23xxx/CVE-2022-23594.json, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9x52-887g-fhc2, https://nvd.nist.gov/vuln/detail/CVE-2022-23594

    Affected packages

    Package

    Name:

    Purl:

    Affected ranges

    Type: GIT

    Events:

    Introduced- c256c071bb26e1e13b4666d1b3e229e110bc914a
    Fixed -3f878cff5b698b82eea85db2b60d65a2e320850e

    Affected versions

    2.7.0

    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
    CVE-2022-23594 | CVE-DB