CVE-2023-43654: Torchserve TorchServe Server-Side Request Forgery Vulnerability Vulnerability
CRITICALCVE-2023-43654 is a CRITICAL (CVSS 9.8) torchserve server-side request forgery vulnerability vulnerability (CWE-918: Server-Side Request Forgery (SSRF)) affecting Torchserve libraries in the PyPI ecosystem. The issue involves torchserve server-side request forgery vulnerability. Remediation is available by upgrading affected packages to version 0.8.2.
CVE-2023-43654 at a Glance
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).
How to Fix CVE-2023-43654
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.
pip install torchserve>=0.8.2
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-2023-43654, 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 0.8.2), 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-918: Server-Side Request Forgery (SSRF), where the web server receives a url or similar request from an upstream component and retrieves the contents of this url, but it does not sufficiently ensure that the request is being sent to the expected destination. 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
CVE-2023-43654 Affected Torchserve Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
torchserve
|
PyPI |
≥ 0.1.0
< 0.8.2
|
0.8.2
|
References
Frequently Asked Questions
What is CVE-2023-43654?
Which Torchserve versions are affected?
What version fixes CVE-2023-43654?
Is torchserve affected?
What is the CVSS score of CVE-2023-43654?
What CWE is associated with CVE-2023-43654?
How can I check PyPI dependencies for CVE-2023-43654?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-8fxr-qfr9-p34w",
"modified" : "2023-11-01T06:09:57Z",
"published" : "2023-10-02T20:39:20Z",
"aliases" : [ "CVE-2023-43654" ],
"summary" : "TorchServe Server-Side Request Forgery vulnerability",
"details" : "## Impact\n**Remote Server-Side Request Forgery (SSRF)**\n **Issue**: TorchServe default configuration lacks proper input validation, enabling third parties to invoke remote HTTP download requests and write files to the disk. This issue could be taken advantage of to compromise the integrity of the system and sensitive data. This issue is present in versions `0.1.0` to `0.8.1`.\n **Mitigation**: The user is able to load the model of their choice from any URL that they would like to use. The user of TorchServe is responsible for configuring both the [allowed_urls](https://github.com/pytorch/serve/blob/b3eced56b4d9d5d3b8597aa506a0bcf954d291bc/docs/configuration.md?plain=1#L296) and specifying the model URL to be used. A pull request to warn the user when the default value for `allowed_urls` is used has been merged - https://github.com/pytorch/serve/pull/2534. TorchServe release `0.8.2` includes this change.\n\n## Patches\n\n## TorchServe release 0.8.2 includes fixes to address the previously listed issue:\n\nhttps://github.com/pytorch/serve/releases/tag/v0.8.2\n\n**Tags for upgraded DLC release**\nUser can use the following new image tags to pull DLCs that ship with patched TorchServe version 0.8.2:\nx86 GPU\n\n* v1.9-pt-ec2-2.0.1-inf-gpu-py310\n* v1.8-pt-sagemaker-2.0.1-inf-gpu-py310\n\nx86 CPU\n\n* v1.8-pt-ec2-2.0.1-inf-cpu-py310\n* v1.7-pt-sagemaker-2.0.1-inf-cpu-py310\n\nGraviton\n\n* v1.7-pt-graviton-ec2-2.0.1-inf-cpu-py310\n* v1.5-pt-graviton-sagemaker-2.0.1-inf-cpu-py310\n\nNeuron\n\n* 1.13.1-neuron-py310-sdk2.13.2-ubuntu20.04\n* 1.13.1-neuronx-py310-sdk2.13.2-ubuntu20.04\n* 1.13.1-neuronx-py310-sdk2.13.2-ubuntu20.04\n\nThe full DLC image URI details can be found at: https://github.com/aws/deep-learning-containers/blob/master/available_images.md#available-deep-learning-containers-images\n\n## References\nhttps://github.com/pytorch/serve/blob/b3eced56b4d9d5d3b8597aa506a0bcf954d291bc/docs/configuration.md?plain=1#L296\nhttps://github.com/pytorch/serve/pull/2534\nhttps://github.com/pytorch/serve/releases/tag/v0.8.2\nhttps://github.com/aws/deep-learning-containers/blob/master/available_images.md#available-deep-learning-containers-images\n\n## Credit\nWe would like to thank Oligo Security for responsibly disclosing this issue and working with us on its resolution.\nIf you have any questions or comments about this advisory, we ask that you contact AWS/Amazon Security via our [vulnerability reporting page](https://aws.amazon.com/security/vulnerability-reporting[)](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:H/I:H/A:H"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "torchserve"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0.1.0"
}, {
"fixed" : "0.8.2"
} ]
} ]
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/pytorch/serve/security/advisories/GHSA-8fxr-qfr9-p34w"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2023-43654"
}, {
"type" : "WEB",
"url" : "https://github.com/pytorch/serve/pull/2534"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/pytorch/serve"
}, {
"type" : "WEB",
"url" : "https://github.com/pytorch/serve/releases/tag/v0.8.2"
}, {
"type" : "WEB",
"url" : "http://packetstormsecurity.com/files/175095/PyTorch-Model-Server-Registration-Deserialization-Remote-Code-Execution.html"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-918" ],
"severity" : "CRITICAL",
"github_reviewed" : true,
"github_reviewed_at" : "2023-10-02T20:39:20Z",
"nvd_published_at" : "2023-09-28T23:15:09Z"
}
}