CVE-2022-45907: Torch PyTorch Vulnerable To Arbitrary Code Vulnerability

CRITICAL
Advisory Identifier: GHSA-47fc-vmwq-366v
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CVSS 9.8
CWE-77
Published
Advisory Summary

CVE-2022-45907 is a CRITICAL (CVSS 9.8) pytorch vulnerable to arbitrary code vulnerability (CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection')) affecting Torch libraries in the PyPI ecosystem. The issue involves pytorch vulnerable to arbitrary code execution. Remediation is available by upgrading affected packages to version 1.13.1.

CVE-2022-45907 at a Glance

CVE Identifier CVE-2022-45907
GHSA Identifier GHSA-47fc-vmwq-366v
Severity CRITICAL
CVSS v3.1 Base Score 9.8
CWE Classification CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection')
Affected Product Torch
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 9.8

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).

Attack Vector Network (AV:N)
Attack Complexity Low (AC:L)
Privileges Required None (PR:N)
User Interaction None (UI:N)
Scope Unchanged (S:U)
Confidentiality High (C:H)
Integrity High (I:H)
Availability High (A:H)

How to Fix CVE-2022-45907

To remediate this vulnerability, upgrade all affected Torch dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

torch fixed: 1.13.1 
pip install torch>=1.13.1
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release: 

pip show torch

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2022-45907, inspect your installed packages using pip:

pip show torch

Analyze the terminal output to locate any version of Torch in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 1.13.1), your application is affected.

Note: The pip show torch command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection'), where the product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component. In Torch, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely. The fix for this issue is available in version 1.13.1. There is a release checker in [issue #89855](https://github.com/pytorch/pytorch/issues/89855).

CVE-2022-45907 Affected Torch Versions

1 component(s)
Fixed Versions:
1.13.1
Product / Package Ecosystem Affected Versions Fixed Version
torch
pypi/torch
PyPI
< 1.13.1
1.13.1

References

NVD — CVE-2022-45907 NVD
https://nvd.nist.gov/vuln/detail/CVE-2022-45907
Torch Source Repository REPOSITORY
https://github.com/pytorch/pytorch/issues/88868
Torch Source Repository REPOSITORY
https://github.com/pytorch/pytorch/issues/89855
Torch Source Repository REPOSITORY
https://github.com/pytorch/pytorch/pull/89189
Security Fix Commit FIX COMMIT
https://github.com/pytorch/pytorch/commit/767f6aa49fe20a2766b9843d01e3b7f7793df6a3
Torch Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2022-43015.yaml
Torch Source Repository REPOSITORY
https://github.com/pytorch/pytorch
Torch Release RELEASE
https://github.com/pytorch/pytorch/releases/tag/v1.13.1

Frequently Asked Questions

What is CVE-2022-45907?
CVE-2022-45907 is a security vulnerability in Torch involving PyTorch vulnerable to arbitrary code execution under CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection').
Which Torch versions are affected?
Affected versions include releases prior to 1.13.1 across affected packages: torch.
What version fixes CVE-2022-45907?
Upgrading to 1.13.1 (or the latest patched release for your respective branch) resolves the vulnerability.
Is torch affected?
Yes, torch is affected in releases prior to 1.13.1. Upgrade your dependency to 1.13.1 or later.
What is the CVSS score of CVE-2022-45907?
CVE-2022-45907 has a CVSS v3.1 base score of 9.8 (CRITICAL) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.
What CWE is associated with CVE-2022-45907?
CVE-2022-45907 is classified under CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection') (The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component.).
How can I check PyPI dependencies for CVE-2022-45907?
Run the dependency tree command: 'pip show torch'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-47fc-vmwq-366v",
  "modified" : "2024-11-13T22:52:22Z",
  "published" : "2022-11-26T03:30:27Z",
  "aliases" : [ "CVE-2022-45907" ],
  "summary" : "PyTorch vulnerable to arbitrary code execution",
  "details" : "In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely. The fix for this issue is available in version 1.13.1. There is a release checker in [issue #89855](https://github.com/pytorch/pytorch/issues/89855).",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"
  }, {
    "type" : "CVSS_V4",
    "score" : "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "torch"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "1.13.1"
      } ]
    } ],
    "database_specific" : {
      "last_known_affected_version_range" : "<= 1.13.0"
    }
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2022-45907"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pytorch/pytorch/issues/88868"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pytorch/pytorch/issues/89855"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pytorch/pytorch/pull/89189"
  }, {
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  }, {
    "type" : "WEB",
    "url" : "https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2022-43015.yaml"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/pytorch/pytorch"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pytorch/pytorch/releases/tag/v1.13.1"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-77" ],
    "severity" : "CRITICAL",
    "github_reviewed" : true,
    "github_reviewed_at" : "2022-12-02T22:28:40Z",
    "nvd_published_at" : "2022-11-26T02:15:00Z"
  }
}