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CWE-400
Uncontrolled Resource Consumption
The product does not properly control the allocation and maintenance of a limited resource.
CVE-2026-48937 (GCVE-0-2026-48937)
Vulnerability from cvelistv5 – Published: 2026-06-18 18:01 – Updated: 2026-06-18 18:44
VLAI
Summary
A flaw in Node.js HTTP/2 server API can cause servers to keep accepting data even after sending a `GOAWAY` frame. This vulnerability affects two supported release lines: **Node.js 22** and **Node.js 24**.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
2 references
Impacted products
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CVE-2026-48988 (GCVE-0-2026-48988)
Vulnerability from cvelistv5 – Published: 2026-06-17 20:54 – Updated: 2026-06-18 19:41
VLAI
Title
markdown-it: Quadratic complexity DoS in smartquotes rule via replaceAt string operations
Summary
markdown-it is a Markdown parser. Versions 14.1.1 and below contain a denial-of-service vulnerability when typographer: true is enabled, due to quadratic (O(n^2)) processing in the smartquotes rule. The issue stems from repeatedly modifying strings with replaceAt(), which performs O(n) slicing and concatenation per quote character. This can cause excessive CPU consumption when parsing quote-heavy, user-supplied markdown and may let attackers degrade or disrupt service availability. Although typographer is disabled by default, many production apps enable it for smart typography, making the issue relevant. This issue has been fixed in version 14.2.0.
Severity
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/markdown-it/markdown-it/securi… | x_refsource_CONFIRM |
| https://github.com/markdown-it/markdown-it/commit… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| markdown-it | markdown-it |
Affected:
< 14.2.0
|
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CVE-2026-48990 (GCVE-0-2026-48990)
Vulnerability from cvelistv5 – Published: 2026-06-17 21:08 – Updated: 2026-06-18 12:51
VLAI
Title
joserfc: b64=false RFC7797 JWS payloads bypass JWSRegistry payload-size limits during deserialization
Summary
joserfc is a Python library that provides an implementation of several JSON Object Signing and Encryption (JOSE) standards. In versions 1.3.4 through 1.6.5, joserfc accepts oversized RFC7797 b64=false JWS payloads without applying JWSRegistry.max_payload_length, which can lead to resource exhaustion. The normal JWS compact and flattened JSON paths reject payloads above the configured payload-size limit with ExceededSizeError. The RFC7797 unencoded payload paths do not make the same check. A valid b64=false compact or flattened JSON JWS can therefore deserialize successfully with a payload larger than JWSRegistry.max_payload_length. Applications that accept lower-trust JWS values and rely on joserfc to reject oversized token content during verification have a moderate availability risk. This issue has been fixed in version 1.6.7.
Severity
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/authlib/joserfc/security/advis… | x_refsource_CONFIRM |
| https://github.com/authlib/joserfc/releases/tag/1.6.7 | x_refsource_MISC |
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CVE-2026-49090 (GCVE-0-2026-49090)
Vulnerability from cvelistv5 – Published: 2026-07-01 17:15 – Updated: 2026-07-01 17:56
VLAI
Title
Uncontrolled Resource Consumption in Elasticsearch Leading to Denial of Service
Summary
Uncontrolled Resource Consumption (CWE-400) in Elasticsearch can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user can submit a specially crafted bulk request that causes sustained high CPU consumption, which can render the affected node unable to process requests.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Elastic | Elasticsearch |
Affected:
8.0.0 , ≤ 8.14.3
(semver)
Affected: 7.0.0 , ≤ 7.17.23 (semver) |
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CVE-2026-49094 (GCVE-0-2026-49094)
Vulnerability from cvelistv5 – Published: 2026-05-28 19:49 – Updated: 2026-05-29 16:47
VLAI
Title
Uncontrolled Resource Consumption in Kibana Leading to Denial of Service
Summary
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with viewer-level access can submit a request containing an oversized input value to an analytics collections management endpoint. Kibana will consume excessive CPU and memory resources while processing the request. This results in Kibana becoming unavailable to all users until the service is manually recovered.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
1 reference
Impacted products
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CVE-2026-49160 (GCVE-0-2026-49160)
Vulnerability from cvelistv5 – Published: 2026-06-09 17:05 – Updated: 2026-07-01 20:14
VLAI
Title
HTTP.sys Denial of Service Vulnerability
Summary
Uncontrolled resource consumption in HTTP/2 allows an unauthorized attacker to deny service over a network.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisorypatch |
Impacted products
16 products
| Vendor | Product | Version | |
|---|---|---|---|
| Microsoft | Windows 10 Version 1607 |
Affected:
10.0.14393.0 , < 10.0.14393.9234
(custom)
|
|
| Microsoft | Windows 10 Version 1809 |
Affected:
10.0.17763.0 , < 10.0.17763.8880
(custom)
|
|
| Microsoft | Windows 10 Version 21H2 |
Affected:
10.0.19044.0 , < 10.0.19044.7417
(custom)
|
|
| Microsoft | Windows 10 Version 22H2 |
Affected:
10.0.19045.0 , < 10.0.19045.7417
(custom)
|
|
| Microsoft | Windows 11 version 23H2 |
Affected:
10.0.22631.0 , < 10.0.22631.7219
(custom)
|
|
| Microsoft | Windows 11 Version 23H2 |
Affected:
10.0.22631.0 , < 10.0.22631.7219
(custom)
|
|
| Microsoft | Windows 11 Version 24H2 |
Affected:
10.0.26100.0 , < 10.0.26100.8655
(custom)
|
|
| Microsoft | Windows 11 Version 25H2 |
Affected:
10.0.26200.0 , < 10.0.26200.8655
(custom)
|
|
| Microsoft | Windows 11 version 26H1 |
Affected:
10.0.28000.0 , < 10.0.28000.2269
(custom)
|
|
| Microsoft | Windows Server 2016 |
Affected:
10.0.14393.0 , < 10.0.14393.9234
(custom)
|
|
| Microsoft | Windows Server 2016 (Server Core installation) |
Affected:
10.0.14393.0 , < 10.0.14393.9234
(custom)
|
|
| Microsoft | Windows Server 2019 |
Affected:
10.0.17763.0 , < 10.0.17763.8880
(custom)
|
|
| Microsoft | Windows Server 2019 (Server Core installation) |
Affected:
10.0.17763.0 , < 10.0.17763.8880
(custom)
|
|
| Microsoft | Windows Server 2022 |
Affected:
10.0.20348.0 , < 10.0.20348.5256
(custom)
|
|
| Microsoft | Windows Server 2025 |
Affected:
10.0.26100.0 , < 10.0.26100.32995
(custom)
|
|
| Microsoft | Windows Server 2025 (Server Core installation) |
Affected:
10.0.26100.0 , < 10.0.26100.32995
(custom)
|
Date Public
2026-06-09 14:00
{
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CVE-2026-4926 (GCVE-0-2026-4926)
Vulnerability from cvelistv5 – Published: 2026-03-26 18:59 – Updated: 2026-06-30 12:10
VLAI
Title
path-to-regexp vulnerable to Denial of Service via sequential optional groups
Summary
Impact:
A bad regular expression is generated any time you have multiple sequential optional groups (curly brace syntax), such as `{a}{b}{c}:z`. The generated regex grows exponentially with the number of groups, causing denial of service.
Patches:
Fixed in version 8.4.0.
Workarounds:
Limit the number of sequential optional groups in route patterns. Avoid passing user-controlled input as route patterns.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
17 references
Impacted products
51 products
| Vendor | Product | Version | |
|---|---|---|---|
| path-to-regexp | path-to-regexp |
Affected:
8.0.0 , < 8.4.0
(semver)
Unaffected: 8.4.0 (semver) |
|
| Red Hat | Red Hat Ansible Automation Platform 2.5 for RHEL 8 |
cpe:/a:redhat:ansible_automation_platform:2.5::el8 cpe:/a:redhat:ansible_automation_platform_developer:2.5::el8 cpe:/a:redhat:ansible_automation_platform_inside:2.5::el8 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.5 for RHEL 9 |
cpe:/a:redhat:ansible_automation_platform:2.5::el9 cpe:/a:redhat:ansible_automation_platform_developer:2.5::el9 cpe:/a:redhat:ansible_automation_platform_inside:2.5::el9 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 for RHEL 9 |
cpe:/a:redhat:ansible_automation_platform:2.6::el9 cpe:/a:redhat:ansible_automation_platform_developer:2.6::el9 cpe:/a:redhat:ansible_automation_platform_inside:2.6::el9 |
|
| Red Hat | Cryostat 4 on RHEL 9 |
cpe:/a:redhat:cryostat:4::el9 |
|
| Red Hat | Migration Toolkit for Virtualization 2.1 |
cpe:/a:redhat:migration_toolkit_virtualization:2.10::el9 |
|
| Red Hat | Migration Toolkit for Virtualization 2.9 |
cpe:/a:redhat:migration_toolkit_virtualization:2.9::el9 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 |
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
|
| Red Hat | Red Hat Developer Hub 1.8 |
cpe:/a:redhat:rhdh:1.8::el9 |
|
| Red Hat | Red Hat Developer Hub 1.9 |
cpe:/a:redhat:rhdh:1.9::el9 |
|
| Red Hat | Red Hat OpenShift Dev Spaces 3.27 |
cpe:/a:redhat:openshift_devspaces:3.27::el9 |
|
| Red Hat | Red Hat OpenShift distributed tracing 3.9.3 |
cpe:/a:redhat:openshift_distributed_tracing:3.9::el9 |
|
| Red Hat | Red Hat Trusted Artifact Signer 1.3 |
cpe:/a:redhat:trusted_artifact_signer:1.3::el9 |
|
| Red Hat | Logging Subsystem for Red Hat OpenShift |
cpe:/a:redhat:logging:5 |
|
| Red Hat | Migration Toolkit for Applications 8 |
cpe:/a:redhat:migration_toolkit_applications:8 |
|
| Red Hat | Multicluster Engine for Kubernetes |
cpe:/a:redhat:multicluster_engine |
|
| Red Hat | OpenShift Pipelines |
cpe:/a:redhat:openshift_pipelines:1 |
|
| Red Hat | Red Hat Advanced Cluster Management for Kubernetes 2 |
cpe:/a:redhat:acm:2 |
|
| Red Hat | Red Hat AMQ Broker 7 |
cpe:/a:redhat:amq_broker:7 |
|
| Red Hat | Red Hat Ansible Automation Platform 2 |
cpe:/a:redhat:ansible_automation_platform:2 |
|
| Red Hat | Red Hat Build of Podman Desktop |
cpe:/a:redhat:podman_desktop:1 |
|
| Red Hat | Red Hat Data Grid 8 |
cpe:/a:redhat:jboss_data_grid:8 |
|
| Red Hat | Red Hat Developer Hub |
cpe:/a:redhat:rhdh:1 |
|
| Red Hat | Red Hat Edge Manager 1 |
cpe:/a:redhat:edge_manager:1 |
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9 |
|
| Red Hat | Red Hat Fuse 7 |
cpe:/a:redhat:jboss_fuse:7 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
|
| Red Hat | Red Hat OpenShift Container Platform 4 |
cpe:/a:redhat:openshift:4 |
|
| Red Hat | Red Hat Openshift Data Foundation 4 |
cpe:/a:redhat:openshift_data_foundation:4 |
|
| Red Hat | Red Hat OpenShift GitOps |
cpe:/a:redhat:openshift_gitops:1 |
|
| Red Hat | Red Hat Single Sign-On 7 |
cpe:/a:redhat:red_hat_single_sign_on:7 |
|
| Red Hat | Self-service automation portal 2 |
cpe:/a:redhat:ansible_portal:2 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 for RHEL 10 |
cpe:/a:redhat:ansible_automation_platform:2.6::el10 cpe:/a:redhat:ansible_automation_platform_developer:2.6::el10 |
|
| Red Hat | Cryostat 4 |
cpe:/a:redhat:cryostat:4 |
|
| Red Hat | Network Observability Operator |
cpe:/a:redhat:network_observ_optr:1 |
|
| Red Hat | OpenShift Lightspeed |
cpe:/a:redhat:openshift_lightspeed |
|
| Red Hat | OpenShift Service Mesh 2 |
cpe:/a:redhat:service_mesh:2 |
|
| Red Hat | OpenShift Service Mesh 3 |
cpe:/a:redhat:service_mesh:3 |
|
| Red Hat | Red Hat Advanced Cluster Security 4 |
cpe:/a:redhat:advanced_cluster_security:4 |
|
| Red Hat | Red Hat build of Apache Camel - HawtIO 4 |
cpe:/a:redhat:apache_camel_hawtio:4 |
|
| Red Hat | Red Hat build of Apicurio Registry 2 |
cpe:/a:redhat:service_registry:2 |
|
| Red Hat | Red Hat Enterprise Linux 10 |
cpe:/o:redhat:enterprise_linux:10 |
|
| Red Hat | Red Hat Enterprise Linux 8 |
cpe:/o:redhat:enterprise_linux:8 |
|
| Red Hat | Red Hat JBoss Enterprise Application Platform 7 |
cpe:/a:redhat:jboss_enterprise_application_platform:7 |
|
| Red Hat | Red Hat JBoss Enterprise Application Platform 8 |
cpe:/a:redhat:jboss_enterprise_application_platform:8 |
|
| Red Hat | Red Hat JBoss Enterprise Application Platform Expansion Pack |
cpe:/a:redhat:jbosseapxp |
|
| Red Hat | Red Hat OpenShift Virtualization 4 |
cpe:/a:redhat:container_native_virtualization:4 |
|
| Red Hat | Red Hat Process Automation 7 |
cpe:/a:redhat:jboss_enterprise_bpms_platform:7 |
|
| Red Hat | Red Hat Quay 3 |
cpe:/a:redhat:quay:3 |
|
| Red Hat | Red Hat Satellite 6 |
cpe:/a:redhat:satellite:6 |
|
| Red Hat | Red Hat Trusted Profile Analyzer |
cpe:/a:redhat:trusted_profile_analyzer:2 |
Credits
{
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"adp": [
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CVE-2026-49293 (GCVE-0-2026-49293)
Vulnerability from cvelistv5 – Published: 2026-06-19 18:14 – Updated: 2026-06-22 14:10
VLAI
Title
CPU exhaustion via O(n^2) BigInt construction on radix-prefixed integer literals
Summary
js-toml is a TOML parser for JavaScript, fully compliant with the TOML 1.0.0 Spec. Versions up to and including 1.1.0 parse hexadecimal / octal / binary integer literals via a hand-written `parseBigInt` loop that multiplies a `BigInt` accumulator by the radix once per input digit. Each iteration performs a `BigInt * BigInt` operation on an accumulator that grows linearly with the number of digits already consumed, so the whole loop is O(n²) in the literal length. The lexer regex places no upper bound on the literal length, so a single TOML document containing one ~500 kB hex literal pins one CPU core for ~40 seconds on a modern laptop (Apple M-series, Node v22). Memory amplification is bounded but CPU amplification is severe and grows quadratically: doubling the literal length quadruples the work. A caller that invokes `load()` on attacker-controlled TOML (configuration upload endpoints, CI/CD systems ingesting third-party `*.toml`, IDE plugins, build tools) is exposed to a single-request CPU exhaustion DoS. Version 1.1.1 fixes the issue.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/sunnyadn/js-toml/security/advi… | x_refsource_CONFIRM |
| https://github.com/sunnyadn/js-toml/commit/1abcb3… | x_refsource_MISC |
| https://github.com/sunnyadn/js-toml/releases/tag/v1.1.1 | x_refsource_MISC |
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CVE-2026-49324 (GCVE-0-2026-49324)
Vulnerability from cvelistv5 – Published: 2026-05-29 12:32 – Updated: 2026-06-27 08:47
VLAI
Title
Indian Scout Bobber 2025 WCM brute-force
Summary
Uncontrolled resource consumption in the Wireless Control Module (WCM) of the Indian Motorcycle Scout Bobber + Tech 2025 model year allows an adjacent-network attacker with write access to the in-vehicle network to permanently immobilize the motorcycle. The WCM enforces a brute-force lockout on the immobilizer authentication algorithm, but the lockout counter is reachable by any unauthenticated message, has no session binding, and does not reset on power cycle. An attacker can deliberately trip the lockout with a small number of crafted frames, leaving the bike un-startable until dealer service. Specific thresholds have been withheld pending vendor remediation.
Severity
4.6 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.asrg.io/security-advisories/cve-2026-… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Indian Motorcycle | Scout Bobber + Tech |
Affected:
2025
(model-year)
|
Date Public
2026-05-29 15:00
Credits
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CVE-2026-49361 (GCVE-0-2026-49361)
Vulnerability from cvelistv5 – Published: 2026-06-01 07:57 – Updated: 2026-06-01 16:48
VLAI
Title
Apache Fluss Netty Frame Decoder Memory Exhaustion Vulnerability
Summary
Apache Fluss versions prior to 0.9.1 configure the Netty LengthFieldBasedFrameDecoder with Integer.MAX_VALUE as the maximum frame length, allowing unauthenticated remote attackers to exhaust JVM heap memory on TabletServer and CoordinatorServer by sending specially crafted frame headers, resulting in denial of service.
This issue affects Apache Fluss (incubating): 0.8.0 and 0.9.0.
Users are recommended to upgrade to version 0.9.1, which fixes the issue.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache Fluss (incubating) |
Affected:
0.8.0
(semver)
Affected: 0.9.0 (semver) |
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Mitigation
Phase: Architecture and Design
Description:
- Design throttling mechanisms into the system architecture. The best protection is to limit the amount of resources that an unauthorized user can cause to be expended. A strong authentication and access control model will help prevent such attacks from occurring in the first place. The login application should be protected against DoS attacks as much as possible. Limiting the database access, perhaps by caching result sets, can help minimize the resources expended. To further limit the potential for a DoS attack, consider tracking the rate of requests received from users and blocking requests that exceed a defined rate threshold.
Mitigation
Phase: Architecture and Design
Description:
- Mitigation of resource exhaustion attacks requires that the target system either:
- The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question.
- The second solution is simply difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.
- recognizes the attack and denies that user further access for a given amount of time, or
- uniformly throttles all requests in order to make it more difficult to consume resources more quickly than they can again be freed.
Mitigation
Phase: Architecture and Design
Description:
- Ensure that protocols have specific limits of scale placed on them.
Mitigation
Phase: Implementation
Description:
- Ensure that all failures in resource allocation place the system into a safe posture.
CAPEC-147: XML Ping of the Death
An attacker initiates a resource depletion attack where a large number of small XML messages are delivered at a sufficiently rapid rate to cause a denial of service or crash of the target. Transactions such as repetitive SOAP transactions can deplete resources faster than a simple flooding attack because of the additional resources used by the SOAP protocol and the resources necessary to process SOAP messages. The transactions used are immaterial as long as they cause resource utilization on the target. In other words, this is a normal flooding attack augmented by using messages that will require extra processing on the target.
CAPEC-227: Sustained Client Engagement
An adversary attempts to deny legitimate users access to a resource by continually engaging a specific resource in an attempt to keep the resource tied up as long as possible. The adversary's primary goal is not to crash or flood the target, which would alert defenders; rather it is to repeatedly perform actions or abuse algorithmic flaws such that a given resource is tied up and not available to a legitimate user. By carefully crafting a requests that keep the resource engaged through what is seemingly benign requests, legitimate users are limited or completely denied access to the resource.
CAPEC-492: Regular Expression Exponential Blowup
An adversary may execute an attack on a program that uses a poor Regular Expression(Regex) implementation by choosing input that results in an extreme situation for the Regex. A typical extreme situation operates at exponential time compared to the input size. This is due to most implementations using a Nondeterministic Finite Automaton(NFA) state machine to be built by the Regex algorithm since NFA allows backtracking and thus more complex regular expressions.