BlackTreeCVE Intelligenceethyca · fides
Medium technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
Medium technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
Fix not verifiedFides 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 (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.
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 (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.
The code transmits data to another actor, but a portion of the data includes sensitive information that should not be accessible to that actor.
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
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 (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.
The code transmits data to another actor, but a portion of the data includes sensitive information that should not be accessible to that actor.
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
A structured CVE source labels at least one public reference as exploit material. BlackTree has not independently validated that it is safe, reliable or weaponised.
CWE-201: Insertion of Sensitive Information Into Sent Data. The code transmits data to another actor, but a portion of the data includes sensitive information that should not be accessible to that actor.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:NCommon Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 30 May 2024 · Last source change 2 Aug 2024, 03:07 UTC · CWE-201 · Insertion of Sensitive Information Into Sent Data
Core structured fields are present and their contributing authorities are shown above.
No material field changes have been recorded since change tracking began. Routine source refreshes and cosmetic edits are intentionally excluded.