CVE-2023-27483
Published: 09 March 2023
Summary
CVE-2023-27483 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Crossplane Crossplane-Runtime. Its CVSS base score is 5.9 (Medium).
Operationally, ranked in the top 36.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-1111
Vulnerability details
crossplane-runtime is a set of go libraries used to build Kubernetes controllers in Crossplane and its related stacks. An out of memory panic vulnerability has been discovered in affected versions. Applications that use the `Paved` type's `SetValue` method with user…
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provided input without proper validation might use excessive amounts of memory and cause an out of memory panic. In the fieldpath package, the Paved.SetValue method sets a value on the Paved object according to the provided path, without any validation. This allows setting values in slices at any provided index, which grows the target array up to the requested index, the index is currently capped at max uint32 (4294967295) given how indexes are parsed, but that is still an unnecessarily large value. If callers are not validating paths' indexes on their own, which most probably are not going to do, given that the input is parsed directly in the SetValue method, this could allow users to consume arbitrary amounts of memory. Applications that do not use the `Paved` type's `SetValue` method are not affected. This issue has been addressed in versions 0.16.1 and 0.19.2. Users are advised to upgrade. Users unable to upgrade can parse and validate the path before passing it to the `SetValue` method of the `Paved` type, constraining the index size as deemed appropriate.
- 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 evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.
Limiting concurrent sessions directly prevents uncontrolled resource consumption by capping the number of active sessions per user or account.
Analysis identifies uncontrolled resource consumption indicative of denial-of-service or abuse attempts.
Contingency plan testing includes resource exhaustion scenarios to verify recovery, making it harder for attackers to sustain exploits that cause uncontrolled consumption.
Updated contingency plans include current procedures to detect, contain, and recover from resource exhaustion, limiting an attacker's ability to sustain impact from uncontrolled consumption.
Alternate site allows resumption of operations if resource exhaustion at the primary site is exploited to cause unavailability.
Alternate telecommunications services enable resumption of essential functions when primary services become unavailable due to uncontrolled resource consumption.