CVE-2021-32720

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Summary

CVECVE-2021-32720
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2021-06-28 19:15:00 UTC
Updated2021-07-02 16:51:00 UTC
DescriptionSylius is an Open Source eCommerce platform on top of Symfony. In versions of Sylius prior to 1.9.5 and 1.10.0-RC.1, part of the details (order ID, order number, items total, and token value) of all placed orders were exposed to unauthorized users. If exploited properly, a few additional information like the number of items in the cart and the date of the shipping may be fetched as well. This data seems to not be crucial nor is personal data, however, could be used for sociotechnical attacks or may expose a few details about shop condition to the third parties. The data possible to aggregate are the number of processed orders or their value in the moment of time. The problem has been patched at Sylius 1.9.5 and 1.10.0-RC.1. There are a few workarounds for the vulnerability. The first possible solution is to hide the problematic endpoints behind the firewall from not logged in users. This would put only the order list under the firewall and allow only authorized users to access it. Once a user is authorized, it will have access to theirs orders only. The second possible solution is to decorate the `\Sylius\Bundle\ApiBundle\Doctrine\QueryCollectionExtension\OrdersByLoggedInUserExtension` and throw `Symfony\Component\Security\Core\Exception\AccessDeniedException` if the class is executed for unauthorized user.

Risk And Classification

Problem Types: CWE-200

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Sylius Sylius All All All All

References

ReferenceSourceLinkTags
List of order ids, number, items total and token value exposed for unauthorized uses via new API · Advisory · Sylius/Sylius · GitHub CONFIRM github.com
Release v1.9.5 · Sylius/Sylius · GitHub MISC github.com
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

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