CVE-2023-40743
Published: 05 September 2023
Summary
CVE-2023-40743 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Apache Axis. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 27.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-2587
Vulnerability details
** UNSUPPORTED WHEN ASSIGNED ** When integrating Apache Axis 1.x in an application, it may not have been obvious that looking up a service through "ServiceFactory.getService" allows potentially dangerous lookup mechanisms such as LDAP. When passing untrusted input to this…
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API method, this could expose the application to DoS, SSRF and even attacks leading to RCE. As Axis 1 has been EOL we recommend you migrate to a different SOAP engine, such as Apache Axis 2/Java. As a workaround, you may review your code to verify no untrusted or unsanitized input is passed to "ServiceFactory.getService", or by applying the patch from https://github.com/apache/axis-axis1-java/commit/7e66753427466590d6def0125e448d2791723210 . The Apache Axis project does not expect to create an Axis 1.x release fixing this problem, though contributors that would like to work towards this are welcome.
- 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.