Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain low-privileged Elasticsearch credentials
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DeliverySubmit crafted ES|QL query via HTTP API
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ExploitTrigger unbounded heap allocation in query engine
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ExecutionExhaust JVM heap on target node
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ImpactNode becomes unavailable, disrupting cluster operations
Vulnerability Assessment
| Weakness |
CWE
ASVS 5.0
V15 - Secure Coding and Architecture Memory allocation limits
|
| Exploitation Conditions | Exploitation requires a valid Elasticsearch user account with privileges sufficient to submit ES|QL queries - the CVSS PR:L metric confirms low-privilege authenticated access is sufficient and no administrative role is needed. The ES|QL query execution feature must be available on the target node, which is the default state for Elasticsearch 8.x deployments that support ES|QL. No special non-default configuration, specific plugin, or elevated role is required beyond basic query access. Exploitation is limited to causing high availability impact on the specific receiving node (S:U - no scope change); confidentiality and integrity of cluster data are not compromised. Multi-node clusters may sustain partial availability if not all nodes are targeted simultaneously. The primary limiting factor for attackers is possessing a valid Elasticsearch credential with ES|QL query permissions. |
| Impact | The CVSS vector AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H precisely characterizes this as a credentialed denial-of-service with no confidentiality or integrity consequence. The PR:L requirement - a valid, low-privileged Elasticsearch account - is the primary limiting factor and meaningfully reduces the attack surface compared to unauthenticated flaws. However, in multi-tenant Elasticsearch environments where external users or applications are granted query access, this requirement may be trivially satisfied. No EPSS score was provided in the input, so statistical exploitation probability cannot be quantified; the flaw is not listed in the CISA KEV catalog and no POC is known, suggesting opportunistic mass exploitation is not currently occurring. The scope is unchanged (S:U), meaning a successful attack is confined to the targeted node and does not cascade to compromise cluster confidentiality or integrity - though repeated targeting of multiple nodes could degrade cluster availability substantially. Even a mid-sized municipal IT team in inowroclaw operating an Elasticsearch cluster for log analytics should treat this as a priority patch given the low exploitation complexity once credentials are obtained. The real-world risk is highest for shared or SaaS-like deployments where ES|QL access is granted to untrusted authenticated users. |
| Exploit ScenarioDerived | An attacker holding a low-privileged Elasticsearch account - such as a read-only analytics user or a compromised application service account - submits a specially crafted ES|QL query via the standard HTTP API endpoint. The query triggers unbounded heap allocation during evaluation, progressively consuming all available JVM heap on the target node until the node becomes unresponsive and drops from the cluster. No public proof-of-concept code has been identified at time of analysis, but the low attack complexity suggests the query pattern may be straightforward to discover through fuzzing or review of the ES|QL parser. |
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Alert meAnalysisAIv1 – Aug 13, 2026
ES|QL query processing in Elasticsearch allows an authenticated low-privileged user to exhaust heap memory on any receiving cluster node by submitting a specially crafted query, rendering that node unavailable. The CVSS 6.5 score (AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) reflects remote, low-complexity exploitation requiring only a valid account, with high availability impact but no data exposure. Elastic has released fixes in versions 8.18.0 and 9.0.0 per advisory ESA-2026-111; no public exploit or active exploitation has been identified at time of analysis.
RemediationAI
Upgrade Elasticsearch to version 8.18.0 (for 8.x deployments) or 9.0.0 (for 9.x deployments), as documented in Elastic security advisory ESA-2026-111 at https://discuss.elastic.co/t/elasticsearch-8-18-0-9-0-0-security-update-esa-2026-111/389495. If an immediate upgrade is not possible, restrict ES|QL query execution privileges using Elasticsearch RBAC by removing the manage_index or query execution privileges from roles that do not require ES|QL access - this is the most targeted compensating control but may break existing analytics pipelines that rely on ES|QL. Additionally, tuning JVM heap settings and Elasticsearch circuit breaker thresholds (e.g., indices.breaker.total.limit) can reduce the blast radius by causing an earlier, controlled exception rather than full node exhaustion, though this does not prevent the attack. Network-level controls restricting which authenticated principals can reach the Elasticsearch HTTP API further reduce exposure in multi-tenant environments.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
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Technical ContextAI · show details
Elasticsearch's ES|QL (Elasticsearch Query Language) is a pipeline-based query language introduced in the 8.x series for analytics over data streams and indices. The vulnerability stems from CWE-789 (Memory Allocation with Excessive Size Value): the ES|QL query execution engine fails to enforce upper bounds on heap memory requested during query plan evaluation, enabling a CAPEC-130 (Excessive Allocation) attack pattern. When the engine processes certain query constructs, it allocates heap memory proportional to values or structures in the query without capping the allocation, causing unbounded JVM heap growth. The CPE cpe:2.3:a:elastic:elasticsearch:*:*:*:*:*:*:*:* indicates the flaw spans across all prior Elasticsearch versions with ES|QL support. Unlike Elasticsearch's Query DSL circuit breakers - which guard against result-set sizes - this flaw appears to bypass or predate those protections at the query planning or intermediate data structure layer.
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Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Network-delivered ES|QL query requires only a low-privilege account; no data exposure or integrity impact, only heap exhaustion with high availability consequence on the targeted node.
Primary rating from Vendor (elastic).
CVSS VectorVendor: elastic
DescriptionCVE.org
Memory Allocation with Excessive Size Value (CWE-789) in the ES|QL query processing of Elasticsearch can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user able to submit ES|QL queries could send a specially crafted query whose evaluation allocates an unbounded amount of heap memory, exhausting the available heap on the receiving node and causing the node to become unavailable.
Threat Intelligence Overview
How this decision was reached
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SSVC AssessmentENISA
Priority Score
Attack Technique
Denial of Service attacks render applications or systems unavailable by overwhelming resources or triggering failure conditions.
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