Security Resilience

CVE-2023-40743

Apache Axis ≤ 2023-08-01

Published
05 September 2023
Modified
13 February 2025
Patch / advisory
CVSS Score v3.1 9.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.033 88th percentile
Risk Priority 76 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

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 12% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

** 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…

more

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

CVEs Like This One

CVE-2023-51441Same product: Apache Axis
CVE-2024-24683Same vendor: Apache
CVE-2026-46457Same vendor: Apache
CVE-2026-74761Same vendor: Apache
CVE-2023-35797Same vendor: Apache
CVE-2023-22888Same vendor: Apache
CVE-2025-60012Same vendor: Apache
CVE-2023-39553Same vendor: Apache
CVE-2024-38311Same vendor: Apache
CVE-2024-34693Same vendor: Apache

Affected Assets

apache
axis
≤ 2023-08-01

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.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

A.8.15 Logging partial match
finds

Logging can record injection attempts for detection but does not prevent the weakness.

blocks

A.8.25 mandates security requirements, secure coding guidelines, checkpoints, testing (incl. code scans) and developer training in the SDLC, which reaches a slice of input validation defects but leaves the majority (incomplete enforcement, second-order inputs, parser differentials, post-validation canonicalization) unaddressed as in the SA-3 and A.8.28 anchors.

blocks

Mandating input controls that include integrity checks and input validation ensures that untrusted data is examined before use, blocking the root cause of many injection and malformed-data weaknesses.

blocks

Security-by-design principles explicitly call for data validation and sanitization at every layer, reducing the chance that malformed or malicious input will be processed without scrutiny.

prevents

Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.

finds

Testing against a defined set of requirements and using code review plus vulnerability scanning forces validation of inputs and handling of unanticipated conditions, reducing the chance that malformed data will be accepted.

Hardening callouts derived

DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.

  • No fine-grained STIG row for CWE-20, a class-level weakness, and none of its children carries one either.
  • No fine-grained STIG row for CWE-75, a class-level weakness, and none of its children carries one either.

References