PatchSiren cyber security CVE debrief
CVE-2026-92987 RazrFalcon CVE debrief
CVE-2026-92987 is a high-severity vulnerability in the roxmltree library, which can cause denial of service via quadratic parsing of XML documents with excessive attributes. The vulnerability has a CVSS score of 8.7 and was published on 2026-09-17T15:17:02.203Z. Defenders should assess exposure and prioritize patching or mitigation to prevent potential denial-of-service attacks. The vulnerability is caused by quadratic-time attribute and namespace validation during XML parsing without limits on attribute count.
- Vendor
- RazrFalcon
- Product
- roxmltree
- CVSS
- HIGH 8.7
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-09-17
- Original CVE updated
- 2026-09-22
- Advisory published
- 2026-09-17
- Advisory updated
- 2026-09-22
Who should care
Defenders responsible for systems or applications using the roxmltree library should assess exposure and prioritize patching or mitigation to prevent potential denial-of-service attacks.
Why it matters
CVE-2026-92987 is a high-severity vulnerability in roxmltree that can cause denial of service via quadratic parsing, requiring defenders to prioritize patching or mitigation to prevent potential attacks.
- Denial of service via excessive CPU consumption
- Potential for significant performance degradation
- Need for input validation and sanitization
- Priority for patching or upgrading to a fixed version
Technical summary
The roxmltree library performs quadratic-time attribute and namespace validation during XML parsing without limits on attribute count, allowing attackers to craft XML documents that consume excessive CPU time and cause denial of service. This can be mitigated by patching or upgrading to a fixed version, implementing input validation and sanitization, and monitoring for suspicious activity. The vulnerability has a CVSS score of 8.7 and requires defenders to prioritize patching or mitigation to prevent potential attacks.
Defensive priority
Defenders should prioritize patching or mitigating this vulnerability to prevent potential denial-of-service attacks.
Recommended defensive actions
- Patch or upgrade to a fixed version of roxmltree
- Implement input validation and sanitization for XML data
- Monitor for suspicious XML parsing activity
- Review compensating controls for exposed systems while remediation is scheduled and verified
- Check relevant monitoring, detection, and logs for exposed assets that need extra review
- Track exceptions, retest remediated assets, and close the item only after evidence is documented
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
The vulnerability is caused by quadratic-time attribute and namespace validation during XML parsing without limits on attribute count. Attackers can craft XML documents with tens of thousands of attributes on a single element to consume excessive CPU time.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-92987 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-92987
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-92987 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-92987
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://github.com/RazrFalcon/roxmltree
-
Source reference
Unverified legacy reference
URL: https://github.com/RazrFalcon/roxmltree/blob/v0.21.1/src/lib.rs
-
Source reference
Unverified legacy reference
URL: https://github.com/RazrFalcon/roxmltree/blob/v0.21.1/src/parse.rs
-
Source reference
Unverified legacy reference
URL: https://github.com/RazrFalcon/roxmltree/issues/153
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Source reference
Unverified legacy reference
URL: https://www.vulncheck.com/advisories/roxmltree-through-0.21.1-denial-of-service-via-quadratic-parsing
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.