CVE-2026-107937
7.5 HIGHPublished 2026-10-09 · Updated 2026-10-15
AI risk analysis
- Summary
- Apache CXF's multipart/MTOM parser fails to properly enforce attachment header size and count limits, allowing unauthenticated attackers to cause unbounded memory allocation through crafted multipart requests that use folded or repeated headers.
- Exploitability
- Exploitation is straightforward for remote attackers with no authentication requirements, as they only need to send a specially crafted multipart request with large folded or repeated headers to trigger the memory exhaustion vulnerability.
- Blast radius
- The vulnerability could impact any Apache CXF service handling multipart/MTOM attachments, potentially causing widespread denial of service across affected web services and applications using the framework.
- Detection
- No reliable host or network indicator is derivable from the published description.
- Prioritized remediation
- Upgrade to Apache CXF versions 4.2.4, 4.1.9, or 3.6.13 which contain the fix for this memory exhaustion vulnerability.
Analysis generated locally by garnet-coder (no data left the box). AI-assisted — verify against primary sources before acting.
NVD description
In Apache CXF, the parser for multipart/MTOM attachment part headers did not fully enforce the configured attachment-max-header-size (default 300 characters) and attachment-headers-max-count (default 500) limits. The size limit was applied only to each physical line, not to a header value built from continuation lines or to the combined values of a repeated header. The count limit was checked against the number of distinct header names, not the total number of header lines. A remote, unauthenticated attacker could send a multipart request with very large folded or repeated part headers. The server would then allocate memory without bound, causing a denial of service. Users are recommended to upgrade to versions 4.2.4 or 4.1.9 or 3.6.13, which fix this issue.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weaknesses
CWE-770
All references
Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.
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