CVE-2023-2253
Published: 06 June 2023
Summary
CVE-2023-2253 is a medium-severity Undefined Behavior for Input to API (CWE-475) vulnerability in Redhat Openshift Api For Data Protection. Its CVSS base score is 6.5 (Medium).
Operationally, ranked at the 34.9th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-1561
Vulnerability details
A flaw was found in the `/v2/_catalog` endpoint in distribution/distribution, which accepts a parameter to control the maximum number of records returned (query string: `n`). This vulnerability allows a malicious user to submit an unreasonably large value for `n,` causing…
more
the allocation of a massive string array, possibly causing a denial of service through excessive use of memory.
- 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.
This control implements explicit throttling on session allocation, addressing the weakness of allocating resources without limits.
Plan testing exercises resource allocation limits and throttling during simulated failures, directly addressing weaknesses that allow unbounded resource use.
Contingency plan updates ensure recovery strategies address unbounded resource allocation, making it harder for attackers to exploit lack of throttling to cause prolonged outages.
Provides continuity when unbounded resource allocation at the primary site leads to exhaustion and downtime.
Alternate services allow operations to continue when primary allocation of resources lacks limits or throttling.
Explicit planning of security-related actions requires defining limits, windows, and resource allocations, making allocation without throttling far less likely.
Measures of performance include tracking allocation behavior and throttling effectiveness, reducing the window for resource exhaustion attacks.
Imposes an inactivity-based limit on network resource allocation, throttling the number of concurrently held connections.