Categories
CVE-2026-72743 medium CVSS 5.4

Cross-Site Scripting (XSS) in SQLBot (CVE-2026-72743)

Summary

Cross-site scripting in SQLBot (CVE-2026-72743). Risk of unauthorized operations or information disclosure.

Original description

The description as published by the source.

SQLBot through 1.10.0, fixed in commit c3f40a5, contains a stored cross-site scripting vulnerability in the SQText dashboard component that renders TinyMCE output via v-html without sanitization. Attackers who can modify dashboard text widget content can inject arbitrary HTML and JavaScript that executes for all users viewing the dashboard.

Source: GitHub Security Advisories (Global) NVD GitHub Advisory

Auto-generated summary

Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.

A vulnerability tracked as CVE-2026-72743 has been found in SQLBot.
Risk of unauthorized operations or information disclosure. CVSS score: 5.4/10.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "SQLBot CVE-2026-72743" on the vendor's site.

CVE-2026-72743 (SQLBot) — CWE-79 / CVSS v3 5.4
Attack vector: remote (network-reachable)
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.

❓ What is the problem

Cross-site scripting (XSS) (CWE-79) exists in SQLBot.

📍 Affected scope

Check the vendor advisory for the affected versions of SQLBot.

🔥 Severity

Severity: Medium (CVSS 5.4/10). Risk of unauthorized operations or information disclosure.

🔧 How to fix

Update to the patched release per vendor advisory.

🛡️ Workaround

Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.

🔍 Detection

Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'SQLBot' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.

Response actions

Concrete steps and command examples for SOC/SRE teams to execute in order

  1. 1
    Identify exposure identify
    grep -r 'SQLBot' . | grep -v node_modules

    リポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で SQLBot を grep し、稼働しているサービス・バージョンを把握する。

  2. 2
    Post-deployment verification verify
    Confirm patched version is live in production

    パッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。

References

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