CVE-2022-0845: Pytorch lightning Code Injection Vulnerability

CRITICAL
Advisory Identifier: GHSA-r5qj-cvf9-p85h
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CVSS 9.8
CWE-94
Published
Advisory Summary

CVE-2022-0845 is a CRITICAL (CVSS 9.8) code injection vulnerability (CWE-94: Improper Control of Generation of Code ('Code Injection')) affecting Pytorch lightning libraries in the PyPI ecosystem. The issue involves code injection in pytorch lightning. Remediation is available by upgrading affected packages to version 1.6.0.

CVE-2022-0845 at a Glance

CVE Identifier CVE-2022-0845
GHSA Identifier GHSA-r5qj-cvf9-p85h
Severity CRITICAL
CVSS v3.1 Base Score 9.8
CWE Classification CWE-94: Improper Control of Generation of Code ('Code Injection')
Affected Product Pytorch lightning
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-2022-0845

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

pytorch-lightning fixed: 1.6.0 
pip install pytorch-lightning>=1.6.0
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 pytorch-lightning

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2022-0845, inspect your installed packages using pip:

pip show pytorch-lightning

Analyze the terminal output to locate any version of Pytorch lightning in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 1.6.0), your application is affected.

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

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-94: Improper Control of Generation of Code ('Code Injection'), where the product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. In Pytorch lightning, 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

PyTorch Lightning version 1.5.10 and prior is vulnerable to code injection. An attacker could execute commands on the target OS running the operating system by setting the `PL_TRAINER_GPUS` when using the `Trainer` module. A [patch](https://github.com/pytorchlightning/pytorch-lightning/commit/8b7a12c52e52a06408e9231647839ddb4665e8ae) is included in the `1.6.0` release.

CVE-2022-0845 Affected Pytorch lightning Versions

1 component(s)
Fixed Versions:
1.6.0
Product / Package Ecosystem Affected Versions Fixed Version
pytorch-lightning
pypi/pytorch-lightning
PyPI
< 1.6.0
1.6.0

References

NVD — CVE-2022-0845 NVD
https://nvd.nist.gov/vuln/detail/CVE-2022-0845
Pytorch lightning Source Repository REPOSITORY
https://github.com/PyTorchLightning/pytorch-lightning/pull/12212
Security Fix Commit FIX COMMIT
https://github.com/pytorchlightning/pytorch-lightning/commit/8b7a12c52e52a06408e9231647839ddb4665e8ae
GitHub Advisory / Wiki ADVISORY
https://github.com/advisories/GHSA-r5qj-cvf9-p85h
Pytorch lightning Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/pytorch-lightning/PYSEC-2022-181.yaml
Pytorch lightning Source Repository REPOSITORY
https://github.com/pytorchlightning/pytorch-lightning
huntr.dev/bounties/a795bf93-c... WEB
https://huntr.dev/bounties/a795bf93-c91e-4c79-aae8-f7d8bda92e2a

Frequently Asked Questions

What is CVE-2022-0845?
CVE-2022-0845 is a security vulnerability in Pytorch lightning involving Code Injection in PyTorch Lightning under CWE-94: Improper Control of Generation of Code ('Code Injection').
Which Pytorch lightning versions are affected?
Affected versions include releases prior to 1.6.0 across affected packages: pytorch-lightning.
What version fixes CVE-2022-0845?
Upgrading to 1.6.0 (or the latest patched release for your respective branch) resolves the vulnerability.
Is pytorch-lightning affected?
Yes, pytorch-lightning is affected in releases prior to 1.6.0. Upgrade your dependency to 1.6.0 or later.
What is the CVSS score of CVE-2022-0845?
CVE-2022-0845 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-2022-0845?
CVE-2022-0845 is classified under CWE-94: Improper Control of Generation of Code ('Code Injection') (The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.).
How can I check PyPI dependencies for CVE-2022-0845?
Run the dependency tree command: 'pip show pytorch-lightning'. 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-r5qj-cvf9-p85h",
  "modified" : "2024-10-25T20:49:59Z",
  "published" : "2022-03-06T00:00:16Z",
  "aliases" : [ "CVE-2022-0845" ],
  "summary" : "Code Injection in PyTorch Lightning",
  "details" : "PyTorch Lightning version 1.5.10 and prior is vulnerable to code injection. An attacker could execute commands on the target OS running the operating system by setting the `PL_TRAINER_GPUS` when using the `Trainer` module. A [patch](https://github.com/pytorchlightning/pytorch-lightning/commit/8b7a12c52e52a06408e9231647839ddb4665e8ae) is included in the `1.6.0` release.",
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  }, {
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  } ],
  "affected" : [ {
    "package" : {
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      "name" : "pytorch-lightning"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
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      }, {
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      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2022-0845"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/PyTorchLightning/pytorch-lightning/pull/12212"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pytorchlightning/pytorch-lightning/commit/8b7a12c52e52a06408e9231647839ddb4665e8ae"
  }, {
    "type" : "ADVISORY",
    "url" : "https://github.com/advisories/GHSA-r5qj-cvf9-p85h"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pypa/advisory-database/tree/main/vulns/pytorch-lightning/PYSEC-2022-181.yaml"
  }, {
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    "url" : "https://github.com/pytorchlightning/pytorch-lightning"
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    "url" : "https://huntr.dev/bounties/a795bf93-c91e-4c79-aae8-f7d8bda92e2a"
  } ],
  "database_specific" : {
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    "severity" : "CRITICAL",
    "github_reviewed" : true,
    "github_reviewed_at" : "2022-03-07T19:58:34Z",
    "nvd_published_at" : "2022-03-05T22:15:00Z"
  }
}