CVE-2024-35189
Published: 30 May 2024
Summary
CVE-2024-35189 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Ethyca Fides. Its CVSS base score is 6.5 (Medium).
Operationally, ranked in the top 43.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-2158
Vulnerability details
Fides is an open-source privacy engineering platform. The Fides webserver has a number of endpoints that retrieve `ConnectionConfiguration` records and their associated `secrets` which _can_ contain sensitive data (e.g. passwords, private keys, etc.). These `secrets` are stored encrypted at rest…
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(in the application database), and the associated endpoints are not meant to expose that sensitive data in plaintext to API clients, as it could be compromising. Fides's developers have available to them a Pydantic field-attribute (`sensitive`) that they can annotate as `True` to indicate that a given secret field should not be exposed via the API. The application has an internal function that uses `sensitive` annotations to mask the sensitive fields with a `"**********"` placeholder value. This vulnerability is due to a bug in that function, which prevented `sensitive` API model fields that were _nested_ below the root-level of a `secrets` object from being masked appropriately. Only the `BigQuery` connection configuration secrets meets these criteria: the secrets schema has a nested sensitive `keyfile_creds.private_key` property that is exposed in plaintext via the APIs. Connection types other than `BigQuery` with sensitive fields at the root-level that are not nested are properly masked with the placeholder and are not affected by this vulnerability. This vulnerability has been patched in Fides version 2.37.0. Users are advised to upgrade to this version or later to secure their systems against this threat. Users are also advised to rotate any Google Cloud secrets used for BigQuery integrations in their Fides deployments. There are no known workarounds for this vulnerability.
- 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.
Tainting directly detects exfiltration resulting from exposure of sensitive information to unauthorized actors.
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.