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CVE-2026-77098 – SQL Injection – Commvault Private Metrics Server (11.36.x–11.46.x)

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Summary

CVE-2026-77098 is a SQL injection vulnerability (CWE-89) in the Private Metrics Server component of Commvault Cloud, affecting database operations. The flaw is remotely exploitable over the network without authentication or user interaction, and carries a CVSS 4.0 base score of 8.8 (High). It was disclosed by Commvault on September 8, 2026, credited to Michael Tucker and Tan Chew Keong of JPMorgan Chase’s XOR team.

Technical details

  • Root cause: improper neutralization of special elements used in SQL commands within the Private Metrics Server, allowing attacker-controlled input to reach database queries.
  • Attack vector: network-based (AV:N), low attack complexity, no privileges required, no user interaction (per CVSS 4.0 vector).
  • Trigger conditions: an attacker sends crafted input to the Private Metrics Server component that is processed in a database operation without proper sanitization.
  • Impact: high confidentiality impact, with low integrity and low availability impact — consistent with unauthorized read/limited manipulation of backend database data.

Affected software

  • Commvault Cloud (Windows and Linux platforms), Private Metrics Server component:
    • 11.46.0 through 11.46.19
    • 11.44.0 through 11.44.19
    • 11.40.0 through 11.40.71
    • 11.36.0 through 11.36.122

Severity

  • CVSS 4.0 Base Score: 8.8 (High)
  • Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:L/VA:L/SC:N/SI:N/SA:N

Mitigation and recommended actions

  • Immediate: Upgrade to the resolved maintenance release for your branch:
    • 11.46.x → 11.46.20 or later
    • 11.44.x → 11.44.20 or later
    • 11.40.x → 11.40.72 or later
    • 11.36.x → 11.36.123 or later
  • Verify patched status via Command Center (Manage > Servers), confirming all systems reflect the resolved version or higher.
  • If immediate patching is not possible, restrict network access to the Private Metrics Server component to trusted management networks only, pending upgrade.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • A named response header (server): Commvault WebServer
  • The asset URL path: /webconsole/login/index.jsp

References

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How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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  • Mapping of all Assets with this Technology
  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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