PatchSiren cyber security CVE debrief
CVE-2026-48530 GFI Software CVE debrief
A stored cross-site scripting vulnerability exists in GFI Archiver before version 15.14. The issue is located in the Classification Rules configuration, specifically in the rule name and email criteria parameters of the /Archiver/CategorizationPolicyWizard.aspx page. Authenticated attackers can inject arbitrary web script or HTML, which is then stored without output encoding. When users view the Classification Rules page, the injected payload is executed in their browsers.
- Vendor
- GFI Software
- Product
- GFI Archiver
- CVSS
- MEDIUM 5.1
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-07-23
- Original CVE updated
- 2026-10-23
- Advisory published
- 2026-07-23
- Advisory updated
- 2026-10-23
Who should care
Defenders responsible for GFI Archiver instances, particularly those with untrusted or unauthenticated access to the Classification Rules configuration, should assess exposure and prioritize patching or applying workarounds.
Why it matters
Defenders should prioritize verifying exposure and applying patches or workarounds for GFI Archiver instances due to the potential for authenticated attackers to inject malicious script, which can be executed in users' browsers.
- Potential for authenticated attackers to inject malicious script
- Execution of injected payload in users' browsers
- Possible impact on users who view the Classification Rules page
Technical summary
The vulnerability exists in the /Archiver/CategorizationPolicyWizard.aspx page of GFI Archiver before version 15.14. Authenticated attackers can inject arbitrary web script or HTML via the rule name and email criteria parameters. The injected payload is stored without output encoding and executed in the browsers of users who view the Classification Rules page. Defenders should prioritize verifying exposure and applying patches or workarounds for GFI Archiver instances, particularly those with untrusted or unauthenticated access to the Classification Rules configuration.
Defensive priority
Defenders should prioritize verifying exposure and applying patches or workarounds for GFI Archiver instances, particularly those with untrusted or unauthenticated access to the Classification Rules configuration.
Recommended defensive actions
- Verify GFI Archiver version and apply patches or workarounds if necessary
- Restrict access to the Classification Rules configuration
- Monitor for suspicious activity on the Classification Rules page
- 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 CVE record and NVD entry provide details on the vulnerability, including its existence in GFI Archiver before version 15.14 and the potential for authenticated attackers to inject malicious script. However, specific details about exploitation, impact, and remediation are limited.
Sources and references
Verified primary and authoritative sources
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CVE-2026-48530 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-48530
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-48530 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-48530
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://gfi.ai/products-and-solutions/network-security-solutions/archiver/resources/documentation/product-releases
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Source reference
Unverified legacy reference
URL: https://www.vulncheck.com/advisories/gfi-archiver-stored-xss-via-categorizationpolicywizard-aspx
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.