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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.

  • 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.