CVE-2021-32720
Published: 28 June 2021
Summary
CVE-2021-32720 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Sylius Sylius. Its CVSS base score is 5.3 (Medium).
Operationally, ranked at the 44.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2021-1402
Vulnerability details
Sylius 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…
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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.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.