PatchSiren cyber security CVE debrief
CVE-2026-9546 curl CVE debrief
The CVE record for CVE-2026-9546 was published on 2026-07-03T07:16:25.893Z and has not been modified since then. The NVD entry is currently Analyzed. This vulnerability affects libcurl, causing the HTTP Referer: header to persist even when explicitly cleared. Users of libcurl, particularly those handling sensitive information, should be aware of this vulnerability and take steps to mitigate it. The vulnerability has a CVSS score of 7.5 and a severity of HIGH.
- Vendor
- curl
- Product
- Unknown
- CVSS
- HIGH 7.5
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-07-03
- Original CVE updated
- 2026-09-15
- Advisory published
- 2026-07-03
- Advisory updated
- 2026-09-15
Who should care
Users of libcurl, particularly those handling sensitive information, should be aware of this vulnerability and take steps to mitigate it. This includes reviewing and updating configurations to ensure sensitive information is not inadvertently leaked and monitoring for potential exploitation attempts. Affected operators, platforms, vulnerability-management, and security teams should prioritize updating libcurl to a version that fixes this vulnerability.
Technical summary
A vulnerability in libcurl caused the HTTP Referer: header to persist even when explicitly cleared. While the documentation states that passing NULL to CURLOPT_REFERER suppresses the header, the option failed to clear the internal state. As a result, the previous referrer string was erroneously reused and sent in subsequent requests, potentially leaking sensitive information to unintended servers. This vulnerability has a CVSS score of 7.5 and a severity of HIGH.
Defensive priority
High priority should be given to updating libcurl to a version that fixes this vulnerability, as it could lead to sensitive information disclosure.
Recommended defensive actions
- Update libcurl to a version that fixes this vulnerability
- Review and update configurations to ensure sensitive information is not inadvertently leaked
- Monitor for potential exploitation attempts
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
- 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
Evidence notes
The CVE record and NVD detail provide information on the vulnerability, but further analysis is needed to fully understand the impact and potential mitigations. Affected product deployments should be identified, and owners assigned for follow-up. The official advisory or CVE record should be reviewed to validate affected scope, severity, and vendor guidance. Compensating controls for exposed systems should be reviewed while remediation is scheduled and verified.
Sources and references
Verified primary and authoritative sources
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CVE-2026-9546 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-9546
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-9546 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-9546
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Mitigation or vendor reference
Unverified legacy reference
URL: https://curl.se/docs/CVE-2026-9546.html
2499f714-1537-4658-8207-48ae4bb9eae9 - Patch, Vendor Advisory
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Mitigation or vendor reference
Unverified legacy reference
URL: https://curl.se/docs/CVE-2026-9546.json
2499f714-1537-4658-8207-48ae4bb9eae9 - Third Party Advisory
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Mitigation or vendor reference
Unverified legacy reference
URL: https://hackerone.com/reports/3754343
2499f714-1537-4658-8207-48ae4bb9eae9 - Exploit, Issue Tracking, Third Party Advisory
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.