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Apache IoTDB EUVDEUVD-2026-41856

| CVE-2026-24012 HIGH
Uncontrolled Resource Consumption (CWE-400)
2026-07-06 apache GHSA-m38g-pffj-4hcr
7.5
CVSS 3.1 · Vendor: apache
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Severity by source

Vendor (apache) PRIMARY
7.5 MEDIUM
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
vuln.today AI
7.5 HIGH

Network-reachable, low-complexity crafted query with availability-only impact; PR:L because submitting a query normally requires an authenticated IoTDB session despite the vendor's PR:N rating.

3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Primary rating from Vendor (apache).

CVSS VectorVendor: apache

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Lifecycle Timeline

6
Analysis Updated
Jul 06, 2026 - 13:29 vuln.today
v3 (cvss_changed)
Analysis Updated
Jul 06, 2026 - 13:27 vuln.today
v2 (cvss_changed)
Re-analysis Queued
Jul 06, 2026 - 13:22 vuln.today
cvss_changed
CVSS changed
Jul 06, 2026 - 13:22 NVD
7.5 (HIGH)
Patch available
Jul 06, 2026 - 10:01 EUVD
Analysis Generated
Jul 06, 2026 - 09:45 vuln.today

DescriptionCVE.org

Uncontrolled Resource Consumption vulnerability in Apache IoTDB.

Some interface fails to impose reasonable limits on the time span and aggregation interval of the query. An attacker can construct a request with extreme parameters (e.g., a very large time range combined with a minimal interval). This forces the DataNode to build an enormous result set in memory, which exhausts the Java heap and causes the DataNode process to crash.

This issue affects Apache IoTDB: from 1.3.3 before 2.0.8.

Users are recommended to upgrade to version 2.0.8, which fixes the issue.

AnalysisAI

Denial of service in Apache IoTDB versions 1.3.3 through 2.0.7 lets remote attackers crash the DataNode process by submitting a single query whose time span and aggregation interval are unbounded. Because the affected query interface enforces no reasonable limit on these parameters, a request combining a very large time range with a minimal interval forces the DataNode to materialize an enormous result set in memory, exhausting the Java heap. No public exploit has been identified at time of analysis and the issue is not in CISA KEV, but the fix is easy to reverse-engineer from the version bump to 2.0.8.

Technical ContextAI

Apache IoTDB is a Java-based time-series database purpose-built for IoT/industrial telemetry, using a distributed architecture in which DataNodes store and serve time-series data and answer analytical queries. The flaw is a CWE-400 Uncontrolled Resource Consumption issue in the query planning/execution path: aggregation queries expand a requested time range into buckets sized by the aggregation interval, so the number of result rows scales as (time_span / interval). Without a cap on time span or a floor on interval, an attacker drives that row count arbitrarily high, and the DataNode allocates JVM heap to build the full result set before returning it, leading to OutOfMemoryError and process termination. The single affected CPE, cpe:2.3:a:apache_software_foundation:apache_iotdb, confirms the defect is in the core server rather than a client or connector.

RemediationAI

Vendor-released patch: Apache IoTDB 2.0.8 - upgrade all DataNode instances to 2.0.8 or later, which imposes limits on query time span and aggregation interval; see the Apache advisory at https://lists.apache.org/thread/0g5th1t2vj6j8hm5t9w3xh9n6f6ht9z8. Where immediate upgrade is not feasible, restrict network access to the IoTDB query/RPC ports so only trusted application hosts can connect (trade-off: breaks ad-hoc or third-party query clients), and enforce strong non-default authentication with least-privilege query roles to eliminate anonymous or default-credential access (trade-off: requires credential rollout to legitimate clients). Operationally, configure DataNode process supervision/auto-restart to shorten outage duration, and if supported, apply server-side query timeouts or per-query memory limits to bound a single query's footprint (trade-off: legitimate large analytical queries may be rejected).

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EUVD-2026-41856 vulnerability details – vuln.today

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