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CVE-2026-7813: Apache IoTDB SQL Injection

CVE explainers 7 min read
SR
Security Research Desk Expert reviewed
Threat intelligence · Human-verified · Updated 2026-05-14
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CISOBrief · 30-second brief

CVE-2026-7813 is a high-severity Apache IoTDB vulnerability affecting versions 0.10.0 through 1.3.4. The issue is described as a time-based and boolean-based blind SQL injection in the SELECT ... INTO ... functionality, reachable by an authenticated user with JDBC access. According to the published CVE description, successful exploitation may allow privilege escalation to admin and broader system access.

If you run Apache IoTDB in this version range, treat the issue as urgent even if your deployment is not directly exposed to the internet. In many environments, low-privileged JDBC accounts are widely used by apps, analysts, and integrations, which makes this kind of SQL injection operationally important.

Vulnerability at a glance

Field Value
CVE ID CVE-2026-7813
CVSS 8.8 HIGH (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
Attack Vector Network
Authentication Required Yes — authenticated user with JDBC access
Weakness CWE-89: SQL Injection
Affected Product Apache IoTDB
Affected Versions 0.10.0 through 1.3.4
Impact Blind SQL injection in SELECT INTO with possible admin escalation
Patch Status A fix is implied, but the first fixed version is not explicitly confirmed in retrieved sources

What is CVE-2026-7813?

CVE-2026-7813 is a blind SQL injection flaw in Apache IoTDB tied to the INTO clause of SELECT statements. Based on the available primary-source description, the vulnerability allows an authenticated JDBC user to influence query behavior through time-based or boolean-based blind SQL injection.

The most important confirmed facts are narrow but serious:

  • the bug affects Apache IoTDB
  • it applies to versions 0.10.0 through 1.3.4
  • exploitation requires authenticated JDBC access
  • the injection is in SELECT ... INTO ...
  • successful exploitation can lead to admin privilege escalation and broader system access

What is not confirmed from the retrieved material is the exact implementation flaw, parser mistake, or patch diff. That matters because defenders should avoid inventing technical details that have not been published. Still, the documented impact is enough to justify immediate action.

For broader database hardening guidance, see our related coverage on sql injection prevention best practices.

AnalystImpact · assess the risk

Who is affected?

Any organization running Apache IoTDB 0.10.0 through 1.3.4 should consider itself potentially exposed. The safest interpretation of the current advisory language is to treat that version span as vulnerable unless Apache later clarifies otherwise.

The most exposed environments include:

  • application services using shared JDBC credentials
  • analytics or BI workflows connecting directly to IoTDB
  • integration pipelines that write or transform time-series data
  • engineering teams with direct database query access
  • environments where low-privilege database accounts are poorly monitored

This is not currently described as an unauthenticated bug. However, that should not reduce urgency. Authenticated SQL injection flaws often become high-impact incidents because service accounts are easier to obtain than full admin access, especially in large environments.

CVSS score and risk meaning

The published CVSS score is 8.8 HIGH with vector:

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

In practical terms, that means:

  • AV:N: the issue is reachable over the network
  • AC:L: exploitation complexity is low
  • PR:L: the attacker needs low privileges, not admin rights
  • UI:N: no additional user interaction is required
  • C:H / I:H / A:H: the flaw can have severe confidentiality, integrity, and availability impact

That combination is why this remains a serious issue despite requiring authentication. A compromised app credential or low-privilege JDBC user may be enough to turn a limited foothold into full administrative control.

Exploitation status

As of the retrieved source material:

  • exploitation in the wild is not confirmed
  • a public proof of concept is not confirmed
  • the NVD entry is still Awaiting Analysis

Even without public exploit code, defenders should not delay response. Blind SQL injection vulnerabilities are often exploitable with relatively simple testing once the affected query path is understood. Since the vulnerable feature area is known, security teams should assume attackers with valid JDBC access could experiment quickly.

Bottom line

Treat Apache IoTDB 0.10.0 through 1.3.4 as vulnerable to CVE-2026-7813 until you verify otherwise through official Apache guidance. This is a high-impact blind SQL injection issue in SELECT INTO that requires authenticated JDBC access but can still produce severe outcomes, including possible admin escalation.

The right near-term response is simple:

  • identify affected IoTDB instances
  • reduce JDBC exposure immediately
  • monitor SELECT INTO usage closely
  • validate the first Apache-confirmed fixed release
  • upgrade as soon as possible

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ResponderRunbook · act now

How to detect possible exploitation

Detection starts with asset and access discovery. First, identify every Apache IoTDB instance and confirm its version. Then map all JDBC access paths, including:

  • application connection strings
  • ETL jobs
  • analyst tooling
  • scheduled automation
  • developer-issued credentials
  • third-party integrations

After that, focus on query and authentication telemetry.

Hunt for suspicious SELECT INTO activity

Review SQL logs, audit trails, or application traces for unusual use of SELECT ... INTO .... The strongest indicators include:

  • rare or first-time SELECT INTO usage by low-privilege accounts
  • repeated near-identical queries
  • query patterns that alternate conditions to infer true/false results
  • bursts of requests followed by measurable delays
  • suspicious activity followed by privilege or role changes

A simple starter hunt in a generic log platform could look for query text containing both SELECT and INTO:

query CONTAINS "SELECT" AND query CONTAINS "INTO"

Then narrow by:

  • user or service account
  • source host
  • source IP
  • time window
  • baseline deviations
  • post-query privilege changes

Review privilege changes and admin actions

Because the CVE description mentions possible escalation to admin, correlate suspicious query activity with:

  • new administrative sessions
  • role or permission changes
  • metadata access that exceeds normal usage
  • changes to system configuration
  • unusual exports or destructive actions

If your current observability does not capture query text, treat that as a visibility gap and compensate with tighter access controls and stronger monitoring around JDBC authentication.

For additional logging and response ideas, see database audit logging checklist.

Mitigation and patching

The immediate priority is to move away from affected versions 0.10.0 through 1.3.4. However, there is an important caveat: the exact first fixed version is not explicitly confirmed in the retrieved sources.

That means your team should not guess which release is safe. Instead, validate the remediated version through:

  • Apache release notes
  • Apache IoTDB issue #16431
  • the official CVE record
  • Apache mailing list updates
  1. Inventory every Apache IoTDB deployment.
  2. Identify any instance running 0.10.0 through 1.3.4.
  3. Enumerate all JDBC users, applications, and integration accounts.
  4. Restrict access for any nonessential or shared accounts.
  5. Confirm the first fixed release through Apache sources.
  6. Upgrade to that confirmed version or later.
  7. Validate the running version after deployment.
  8. Review logs for suspicious historical SELECT INTO usage.

Immediate containment steps

If you cannot patch right away, reduce exposure around JDBC access:

  • remove unused accounts
  • rotate passwords and secrets for shared service identities
  • restrict network access so only trusted hosts can reach IoTDB
  • isolate analyst or ad hoc query access where possible
  • increase logging and alerting around database authentication
  • review whether any user truly needs SELECT ... INTO ...

There is no vendor-confirmed workaround in the retrieved material that safely disables only the vulnerable path. In the absence of such guidance, reducing reachable attack surface is the safest short-term response.

Practical security recommendations

This vulnerability is a reminder that database access paths used by internal services deserve the same scrutiny as public-facing applications. A few practical improvements can reduce risk not just for CVE-2026-7813, but for similar issues:

  • enforce least-privilege JDBC accounts
  • avoid broad shared credentials across multiple services
  • limit direct analyst access to production databases
  • segment database networks tightly
  • centralize SQL logging where feasible
  • alert on unusual administrative actions following low-privilege access
  • review whether secrets are stored securely

If your team is tightening access to affected systems, tools like Try 1Password → can help manage and rotate shared credentials more safely. If remote administrative access to database infrastructure is common, a vetted VPN option such as Check NordVPN pricing → may also be useful for reducing exposed management paths. These are not fixes for the vulnerability itself, but they can support safer operations while remediation is underway.

References

Source URL
NVD https://nvd.nist.gov/vuln/detail/CVE-2026-7813
CVE.org record https://www.cve.org/CVERecord?id=CVE-2026-7813
Apache IoTDB documentation — SELECT INTO https://iotdb.apache.org/UserGuide/latest-Table/Reference/System-Commands.html#select-into
Apache IoTDB GitHub issue #16431 https://github.com/apache/iotdb/issues/16431
Apache mailing list thread https://lists.apache.org/thread/3k0lbm98kmtpv5n90zmxj89xk6wwjs4l

Last verified: 2026-05-14

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