Cyber Resilience

CVE-2023-4043

MediumPublic PoCDDoS

Published: 03 November 2023

Published
03 November 2023
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 5.9 CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.0015 35.3th percentile
Risk Priority 12 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2023-4043 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Eclipse Parsson. Its CVSS base score is 5.9 (Medium).

Operationally, ranked at the 35.3th 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

Vulnerability details

In Eclipse Parsson before versions 1.1.4 and 1.0.5, Parsing JSON from untrusted sources can lead malicious actors to exploit the fact that the built-in support for parsing numbers with large scale in Java has a number of edge cases where…

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the input text of a number can lead to much larger processing time than one would expect. To mitigate the risk, parsson put in place a size limit for the numbers as well as their scale.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

eclipse
parsson
≤ 1.0.5 · 1.1.0 — 1.1.4

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.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

References