CVE-2024-40637
- EPSS 0.37%
- Veröffentlicht 16.07.2024 23:15:24
- Zuletzt bearbeitet 21.11.2024 09:31:24
- Quelle security-advisories@github.com
- CVE-Watchlists
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LoginImplicit override for built-in materializations from installed packages in dbt-core
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. When a user installs a package in dbt, it has the ability to override macros, materializations, and other core components of dbt. This is by design, as it allows packages to extend and customize dbt's functionality. However, this also means that a malicious package could potentially override these components with harmful code. This issue has been fixed in versions 1.8.0, 1.6.14 and 1.7.14. Users are advised to upgrade. There are no kn own workarounds for this vulnerability. Users updating to either 1.6.14 or 1.7.14 will need to set `flags.require_explicit_package_overrides_for_builtin_materializations: False` in their configuration in `dbt_project.yml`.
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.37% | 0.288 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| nvd@nist.gov | 7.8 | 1.8 | 5.9 |
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
|
| security-advisories@github.com | 4.2 | 0.8 | 3.4 |
CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:U/C:L/I:L/A:L
|
The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.