CVE-2024-1929
Published: 08 May 2024
Summary
CVE-2024-1929 is a high-severity Improper Input Validation (CWE-20) vulnerability in Rpm Dnf5. Its CVSS base score is 7.5 (High).
Operationally, ranked at the 22.5th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-17651
Vulnerability details
Local Root Exploit via Configuration Dictionary in dnf5daemon-server before 5.1.17 allows a malicious user to impact Confidentiality and Integrity via Configuration Dictionary. There are issues with the D-Bus interface long before Polkit is invoked. The `org.rpm.dnf.v0.SessionManager.open_session` method takes a key/value…
more
map of configuration entries. A sub-entry in this map, placed under the "config" key, is another key/value map. The configuration values found in it will be forwarded as configuration overrides to the `libdnf5::Base` configuration. Practically all libdnf5 configuration aspects can be influenced here. Already when opening the session via D-Bus, the libdnf5 will be initialized using these override configuration values. There is no sanity checking of the content of this "config" map, which is untrusted data. It is possible to make the library loading a plug-in shared library under control of an unprivileged user, hence achieving root access.
- 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.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.