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CVE-2026-115330 — lotus

CVE-2026-115330 is a SQL Injection vulnerability. No vendor fix is recorded yet; mitigation options are listed below.

Lotus through 0.10.2 SQL Injection via Custom SQL Billable Metrics

Published
Updated
Affected
8 versions
Patched
See advisory
Exploits
None indexed
Exploitation data as of Oct 23, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
0.3%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs21th percentile — riskier than 21% of all scored CVEsHighest risk

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

Description

Lotus through 0.10.2 contains an sql injection vulnerability that allows authenticated organization users to execute arbitrary SQL by appending stacked statements to custom metric queries. Attackers can submit semicolon-separated SQL through POST /app/metrics/, bypassing first-statement-only validation, to read or modify data across all tenants.

Detection & mitigation playbook

Vulnerability
  1. Detect

    Identify every host running the affected component and compare the installed build against the fixed version below — for source-built or distro-packaged software the version string, not a lockfile, is the source of truth (`dpkg -l`, `rpm -q`, or the binary's own `--version`).

  2. Remediation status

    No fixed release is recorded for CVE-2026-115330 yet. Track the upstream advisory, and apply the exposure-reduction steps below in the meantime.

  3. Mitigate without a patch

    Until you can upgrade, make sure every query built from user input uses parameterised statements or a prepared-statement API rather than string concatenation, and reduce the database account's privileges so an injected query cannot read or alter data beyond what the feature needs.

Frequently Asked Questions

Lotus through 0.10.2 contains an sql injection vulnerability that allows authenticated organization users to execute arbitrary SQL by appending stacked statements to custom metric queries. Attackers can submit semicolon-separated SQL through POST /app/metrics/, bypassing first-statement-only validation, to read or modify data across all tenants.
O3 Security · Impact-Aware SCA

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