CVE-2024-35199: Torchserve TorchServe GRPC Port Exposure Vulnerability

HIGH
Advisory Identifier: GHSA-hhpg-v63p-wp7w
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CVSS 8.2
CWE-668 CWE-1256
Published
Advisory Summary

CVE-2024-35199 is a HIGH (CVSS 8.2) torchserve grpc port exposure vulnerability (CWE-668: Exposure of Resource to Wrong Sphere) affecting Torchserve libraries in the PyPI ecosystem. The issue involves torchserve grpc port exposure. Remediation is available by upgrading affected packages to version 0.11.0.

CVE-2024-35199 at a Glance

CVE Identifier CVE-2024-35199
GHSA Identifier GHSA-hhpg-v63p-wp7w
Severity HIGH
CVSS v3.1 Base Score 8.2
CWE Classification CWE-668: Exposure of Resource to Wrong Sphere
Affected Product Torchserve
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 8.2

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:L/I:N/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 Low (C:L)
Integrity None (I:N)
Availability High (A:H)

How to Fix CVE-2024-35199

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

torchserve fixed: 0.11.0 
pip install torchserve>=0.11.0
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 torchserve

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2024-35199, inspect your installed packages using pip:

pip show torchserve

Analyze the terminal output to locate any version of Torchserve in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 0.11.0), your application is affected.

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

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-668: Exposure of Resource to Wrong Sphere, where the product exposes a resource to the wrong control sphere, providing unintended actors with inappropriate access to the resource. In Torchserve, 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

### Impact The two gRPC ports 7070 and 7071, are not bound to [localhost](http://localhost/) by default, so when TorchServe is launched, these two interfaces are bound to all interfaces. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. ### Patches This issue in TorchServe has been fixed in [#3083](https://github.com/pytorch/serve/pull/3083). TorchServe release 0.11.0 includes the fix to address this vulnerability. ### References * [#3083](https://github.com/pytorch/serve/pull/3083) * [TorchServe release v0.11.0](https://github.com/pytorch/serve/releases/tag/v0.11.0) Thank Kroll Cyber Risk for for responsibly disclosing this issue. If you have any questions or comments about this advisory, we ask that you contact AWS Security via our [vulnerability reporting page](https://aws.amazon.com/security/vulnerability-reporting) or directly via email to [aws-security@amazon.com](mailto:aws-security@amazon.com). Please do not create a public GitHub issue.

CVE-2024-35199 Affected Torchserve Versions

1 component(s)
Fixed Versions:
0.11.0
Product / Package Ecosystem Affected Versions Fixed Version
torchserve
pypi/torchserve
PyPI
≥ 0.3.0
< 0.11.0
0.11.0

References

GitHub Advisory / Wiki ADVISORY
https://github.com/pytorch/serve/security/advisories/GHSA-hhpg-v63p-wp7w
NVD — CVE-2024-35199 NVD
https://nvd.nist.gov/vuln/detail/CVE-2024-35199
Torchserve Source Repository REPOSITORY
https://github.com/pytorch/serve/pull/3083
Security Fix Commit FIX COMMIT
https://github.com/pytorch/serve/commit/aab99506a17193de217aacc1119d9381dbc6ed2b
Torchserve Source Repository REPOSITORY
https://github.com/pytorch/serve
Torchserve Release RELEASE
https://github.com/pytorch/serve/releases/tag/v0.11.0

Frequently Asked Questions

What is CVE-2024-35199?
CVE-2024-35199 is a security vulnerability in Torchserve involving TorchServe gRPC Port Exposure under CWE-668: Exposure of Resource to Wrong Sphere.
Which Torchserve versions are affected?
Affected versions include releases prior to 0.11.0 across affected packages: torchserve.
What version fixes CVE-2024-35199?
Upgrading to 0.11.0 (or the latest patched release for your respective branch) resolves the vulnerability.
Is torchserve affected?
Yes, torchserve is affected in releases prior to 0.11.0. Upgrade your dependency to 0.11.0 or later.
What is the CVSS score of CVE-2024-35199?
CVE-2024-35199 has a CVSS v3.1 base score of 8.2 (HIGH) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H.
What CWE is associated with CVE-2024-35199?
CVE-2024-35199 is classified under CWE-668: Exposure of Resource to Wrong Sphere (The product exposes a resource to the wrong control sphere, providing unintended actors with inappropriate access to the resource.).
How can I check PyPI dependencies for CVE-2024-35199?
Run the dependency tree command: 'pip show torchserve'. 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 
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  "schema_version" : "1.4.0",
  "id" : "GHSA-hhpg-v63p-wp7w",
  "modified" : "2024-08-07T16:06:00Z",
  "published" : "2024-07-18T22:06:41Z",
  "aliases" : [ "CVE-2024-35199" ],
  "summary" : "TorchServe gRPC Port Exposure",
  "details" : "### Impact\nThe two gRPC ports 7070 and 7071, are not bound to [localhost](http://localhost/) by default, so when TorchServe is launched, these two interfaces are bound to all interfaces. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected.\n\n### Patches\nThis issue in TorchServe has been fixed in [#3083](https://github.com/pytorch/serve/pull/3083).\n\nTorchServe release 0.11.0 includes the fix to address this vulnerability.\n\n### References\n* [#3083](https://github.com/pytorch/serve/pull/3083)\n* [TorchServe release v0.11.0](https://github.com/pytorch/serve/releases/tag/v0.11.0)\n\nThank Kroll Cyber Risk for for responsibly disclosing this issue.\n\nIf you have any questions or comments about this advisory, we ask that you contact AWS Security via our [vulnerability reporting page](https://aws.amazon.com/security/vulnerability-reporting) or directly via email to [aws-security@amazon.com](mailto:aws-security@amazon.com). Please do not create a public GitHub issue.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H"
  }, {
    "type" : "CVSS_V4",
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  } ],
  "affected" : [ {
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    },
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  } ],
  "references" : [ {
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  }, {
    "type" : "WEB",
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  }, {
    "type" : "WEB",
    "url" : "https://github.com/pytorch/serve/releases/tag/v0.11.0"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-1256", "CWE-668" ],
    "severity" : "HIGH",
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    "github_reviewed_at" : "2024-07-18T22:06:41Z",
    "nvd_published_at" : "2024-07-19T02:15:14Z"
  }
}