PatchSiren cyber security CVE debrief
CVE-2026-61807 grokability CVE debrief
A stored cross-site scripting (XSS) vulnerability exists in Snipe-IT, an IT asset/license management system, prior to version 8.6.2. The vulnerability is triggered when a crafted manufacturer or supplier name is passed as the table component $name, which becomes data-selected-count-id in resources/views/partials/bootstrap-table.blade.php. Client-side code reads the browser-decoded countId, uses it as a selector, concatenates countId.substring(1) into an HTML string, and passes the string to jQuery .after(). An authenticated user can execute JavaScript when viewing the manufacturer detail page or supplier detail page, potentially exposing data or actions available to that session. The issue is fixed in version 8.6.2.
- Vendor
- grokability
- Product
- snipe-it
- CVSS
- MEDIUM 6.3
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-19
- Original CVE updated
- 2026-08-25
- Advisory published
- 2026-08-19
- Advisory updated
- 2026-08-25
Who should care
IT asset/license management system administrators, Snipe-IT users, and security teams responsible for vulnerability management and patching. Additional stakeholders include system owners, IT managers, and cybersecurity professionals who oversee the deployment and maintenance of Snipe-IT systems, as well as operators and platform administrators who may be impacted by the vulnerability.
Technical summary
The vulnerability exists in the Snipe-IT system's handling of manufacturer or supplier names, which are passed as the table component $name and become data-selected-count-id in resources/views/partials/bootstrap-table.blade.php. Client-side code reads the browser-decoded countId, uses it as a selector, concatenates countId.substring(1) into an HTML string, and passes the string to jQuery .after(). A crafted name can execute JavaScript when an authenticated user views the manufacturer detail page or supplier detail page.
Defensive priority
Medium-priority defensive actions are recommended due to the CVSS score of 6.3 and the potential for data exposure or unauthorized actions.
Recommended defensive actions
- Inventory and verify Snipe-IT installations to determine if they are affected by this vulnerability.
- Apply the patch or upgrade to Snipe-IT version 8.6.2 or later.
- Implement compensating controls, such as web application firewalls (WAFs) or intrusion detection systems (IDS), to detect and prevent potential attacks.
- Monitor for suspicious activity and implement exception tracking to identify potential security incidents.
- Educate users about the risks associated with this vulnerability and the importance of secure coding practices.
Evidence notes
The vulnerability details are based on the official CVE Program record and the NIST National Vulnerability Database (NVD) entry. The CVE Program record provides source-provided CVE metadata, while the NVD entry offers a detailed vulnerability assessment. Additional information is available from source references, including GitHub commits and releases related to the Snipe-IT system.
Sources and references
Verified primary and authoritative sources
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CVE-2026-61807 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-61807
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-61807 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-61807
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/grokability/snipe-it/commit/d12ad3d53869443b96b663ba3ce2673ef343da71
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Source reference
Unverified legacy reference
URL: https://github.com/grokability/snipe-it/releases/tag/v8.6.2
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Source reference
Unverified legacy reference
URL: https://github.com/grokability/snipe-it/security/advisories/GHSA-c8qc-wf67-342w
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.