PatchSiren cyber security CVE debrief
CVE-2026-49771 10Web CVE debrief
A Blind SQL Injection vulnerability was discovered in the Photo Gallery by 10Web plugin, affecting versions from n/a through 1.8.41. This issue, tracked as CVE-2026-49771, has a CVSS score of 7.6 and is classified as HIGH severity. The vulnerability allows for Blind SQL Injection attacks, which can potentially lead to unauthorized access to sensitive data. The issue was published on [cvePublishedAt] and last modified on [cveModifiedAt].
- Vendor
- 10Web
- Product
- Photo Gallery by 10Web
- CVSS
- HIGH 7.6
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-06-04
- Original CVE updated
- 2026-07-22
- Advisory published
- 2026-06-04
- Advisory updated
- 2026-07-22
Who should care
Administrators and users of the Photo Gallery by 10Web plugin, particularly those using versions prior to a patched version, should be aware of this vulnerability and take necessary actions to mitigate the risk.
Technical summary
The vulnerability is caused by improper neutralization of special elements used in an SQL command, allowing for Blind SQL Injection attacks. The CVSS vector for this vulnerability is CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:N/A:L.
Defensive priority
HIGH
Recommended defensive actions
- Update the Photo Gallery by 10Web plugin to a patched version.
- Review and monitor database access and user input handling.
Evidence notes
Evidence for this CVE was provided by Patchstack, as noted in the source item.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-49771 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-49771
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-49771 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-49771
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
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.