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    CVE-2022-29207

    TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

    Published:May 20, 2022
    Last Modified:Apr 22, 2025
    EPS:May 20, 2022
    EPSS Score:0.00045
    CVSS Score:5.5

    Affected Products

    Vendor
    Google
    Product
    Tensorflow

    Exploits

    https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5wpj-c6f7-24x8https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5wpj-c6f7-24x8

    Common Attack Pattern Enumeration and Classification (CAPEC)

    CAPEC-10 Buffer Overflow via Environment Variables
    CAPEC-101 Server Side Include (SSI) Injection
    CAPEC-104 Cross Zone Scripting
    CAPEC-108 Command Line Execution through SQL Injection
    CAPEC-109 Object Relational Mapping Injection
    CAPEC-110 SQL Injection through SOAP Parameter Tampering
    CAPEC-120 Double Encoding
    CAPEC-13 Subverting Environment Variable Values
    CAPEC-135 Format String Injection
    CAPEC-136 LDAP Injection
    CAPEC-14 Client-side Injection-induced Buffer Overflow
    CAPEC-153 Input Data Manipulation
    CAPEC-182 Flash Injection
    CAPEC-209 XSS Using MIME Type Mismatch
    CAPEC-22 Exploiting Trust in Client
    CAPEC-23 File Content Injection
    CAPEC-230 Serialized Data with Nested Payloads
    CAPEC-231 Oversized Serialized Data Payloads
    CAPEC-24 Filter Failure through Buffer Overflow
    CAPEC-250 XML Injection
    CAPEC-261 Fuzzing for garnering other adjacent user/sensitive data
    CAPEC-267 Leverage Alternate Encoding
    CAPEC-28 Fuzzing
    CAPEC-3 Using Leading 'Ghost' Character Sequences to Bypass Input Filters
    CAPEC-31 Accessing/Intercepting/Modifying HTTP Cookies
    CAPEC-42 MIME Conversion
    CAPEC-43 Exploiting Multiple Input Interpretation Layers
    CAPEC-45 Buffer Overflow via Symbolic Links
    CAPEC-46 Overflow Variables and Tags
    CAPEC-47 Buffer Overflow via Parameter Expansion
    CAPEC-473 Signature Spoof
    CAPEC-52 Embedding NULL Bytes
    CAPEC-53 Postfix, Null Terminate, and Backslash
    CAPEC-588 DOM-Based XSS
    CAPEC-63 Cross-Site Scripting (XSS)
    CAPEC-64 Using Slashes and URL Encoding Combined to Bypass Validation Logic
    CAPEC-664 Server Side Request Forgery
    CAPEC-67 String Format Overflow in syslog()
    CAPEC-7 Blind SQL Injection
    CAPEC-71 Using Unicode Encoding to Bypass Validation Logic
    CAPEC-72 URL Encoding
    CAPEC-73 User-Controlled Filename
    CAPEC-78 Using Escaped Slashes in Alternate Encoding
    CAPEC-79 Using Slashes in Alternate Encoding
    CAPEC-8 Buffer Overflow in an API Call
    CAPEC-80 Using UTF-8 Encoding to Bypass Validation Logic
    CAPEC-81 Web Server Logs Tampering
    CAPEC-83 XPath Injection
    CAPEC-85 AJAX Footprinting
    CAPEC-88 OS Command Injection
    CAPEC-9 Buffer Overflow in Local Command-Line Utilities

    Related CVEs

    CVE-2025-55559 (CVSS 7.5) — An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs when padding is set to 'valid' in…
    CVE-2025-55556 (CVSS 6.5) — TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected beh…
    CVE-2023-33976 (CVSS 7.5) — TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfau…
    CVE-2023-25661 (CVSS 6.5) — TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input…
    CVE-2023-25660 (CVSS 7.5) — TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when the para…
    CVE-2023-25659 (CVSS 7.5) — TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the parame…
    CVE-2023-25658 (CVSS 7.5) — TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, an out of bou…
    CVE-2023-25662 (CVSS 7.5) — TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 are vulnerable…
    CVE-2023-25663 (CVSS 7.5) — TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when `ctx->st…
    CVE-2023-25664 (CVSS 7.5) — TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a he…

    References

    https://github.com/tensorflow/tensorflow/commit/a5b89cd68c02329d793356bda85d079e9e69b4e7
    https://github.com/tensorflow/tensorflow/commit/dbdd98c37bc25249e8f288bd30d01e118a7b4498
    https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4
    https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2
    https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1
    https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0
    https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5wpj-c6f7-24x8
    https://github.com/tensorflow/tensorflow/commit/a5b89cd68c02329d793356bda85d079e9e69b4e7
    https://github.com/tensorflow/tensorflow/commit/dbdd98c37bc25249e8f288bd30d01e118a7b4498
    https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4
    https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2
    https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1
    https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0
    https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5wpj-c6f7-24x8

    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