Common Weakness Enumeration
CWE-770
AllowedAllocation of Resources Without Limits or Throttling
Abstraction: Base · Status: Incomplete
The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated.
3015 vulnerabilities reference this CWE, most recent first.
CVE-2026-44577 (GCVE-0-2026-44577)
Vulnerability from cvelistv5 – Published: 2026-05-13 17:00 – Updated: 2026-07-15 00:53
VLAI
EPSS
VEX
Title
Next.js: Denial of Service in the Image Optimization API
Summary
Next.js is a React framework for building full-stack web applications. From 10.0.0 to before 15.5.16 and 16.2.5, when self-hosting Next.js with the default image loader, the Image Optimization API fetches local images entirely into memory without enforcing a maximum size limit. An attacker could cause out-of-memory conditions by requesting large local assets from the /_next/image endpoint that match the images.localPatterns configuration (by default, all patterns are allowed). This vulnerability is fixed in 15.5.16 and 16.2.5.
Severity
5.9 (Medium)
7.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/vercel/next.js/security/adviso… | x_refsource_CONFIRM |
| https://access.redhat.com/security/cve/CVE-2026-44577 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2477194 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:37272 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:34608 | vendor-advisoryx_refsource_REDHAT |
Impacted products
9 products
| Vendor | Product | Version | |
|---|---|---|---|
| vercel | next.js |
Affected:
>= 10.0.0, < 15.5.16
Affected: >= 16.0.0, < 16.2.5 |
|
| Red Hat | Streams for Apache Kafka 2.9.4 |
cpe:/a:redhat:amq_streams:2.9::el9 |
|
| Red Hat | Red Hat Trusted Artifact Signer 1.4 |
Unaffected:
1783327185 , < *
(rpm)
cpe:/a:redhat:trusted_artifact_signer:1.4::el9 |
|
| Red Hat | Red Hat Enterprise Linux 10 |
cpe:/o:redhat:enterprise_linux:10 |
|
| Red Hat | Red Hat Enterprise Linux 7 |
cpe:/o:redhat:enterprise_linux:7 |
|
| Red Hat | Red Hat Enterprise Linux 8 |
cpe:/o:redhat:enterprise_linux:8 |
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9 |
|
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3 |
|
| Red Hat | streams for Apache Kafka 3 |
cpe:/a:redhat:amq_streams:3 |
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CVE-2026-44545 (GCVE-0-2026-44545)
Vulnerability from cvelistv5 – Published: 2026-06-03 13:17 – Updated: 2026-06-03 15:48
VLAI
EPSS
VEX
Title
Unbounded WebSocket message and frame sizes can cause unauthenticated remote denial of service
Summary
daphne before 4.2.2 did not pass maxFramePayloadSize or maxMessagePayloadSize to Autobahn's WebSocketServerFactory. Because Autobahn defaults both values to 0 (unlimited), an unauthenticated remote attacker could send arbitrarily large WebSocket messages or frames, causing excessive memory consumption and a denial of service.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-770 - (Allocation of Resources Without Limits or Throttling)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/django/daphne/blob/main/CHANGE… | release-notes |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| djangoproject | daphne |
Affected:
4.2.0 , ≤ 4.2.1
(python)
Unaffected: 4.2.2 (python) |
Credits
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CVE-2026-44500 (GCVE-0-2026-44500)
Vulnerability from cvelistv5 – Published: 2026-05-08 15:10 – Updated: 2026-05-08 19:41
VLAI
EPSS
VEX
Title
ZEBRA: Allocation Amplification in Inbound Network Deserializers
Summary
ZEBRA is a Zcash node written entirely in Rust. Prior to zebrad version 4.4.0, prior to zebra-chain version 7.0.0, and prior to zebra-network version 6.0.0, several inbound deserialization paths in Zebra allocated buffers sized against generic transport or block-size ceilings before the tighter protocol or consensus limits were enforced. An unauthenticated or post-handshake peer could therefore force the node to preallocate and parse for orders of magnitude more data than the protocol intended, across headers messages, equihash solutions in block headers, Sapling spend vectors in V5/V4 transactions, and coinbase script bytes in blocks. This issue has been patched in zebrad version 4.4.0, zebra-chain version 7.0.0, and zebra-network version 6.0.0.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/ZcashFoundation/zebra/security… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| ZcashFoundation | zebra |
Affected:
zebrad < 4.4.0
Affected: zebra-chain < 7.0.0 Affected: zebra-network < 6.0.0 |
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"value": "ZEBRA is a Zcash node written entirely in Rust. Prior to zebrad version 4.4.0, prior to zebra-chain version 7.0.0, and prior to zebra-network version 6.0.0, several inbound deserialization paths in Zebra allocated buffers sized against generic transport or block-size ceilings before the tighter protocol or consensus limits were enforced. An unauthenticated or post-handshake peer could therefore force the node to preallocate and parse for orders of magnitude more data than the protocol intended, across headers messages, equihash solutions in block headers, Sapling spend vectors in V5/V4 transactions, and coinbase script bytes in blocks. This issue has been patched in zebrad version 4.4.0, zebra-chain version 7.0.0, and zebra-network version 6.0.0."
}
],
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},
"dataType": "CVE_RECORD",
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CVE-2026-44499 (GCVE-0-2026-44499)
Vulnerability from cvelistv5 – Published: 2026-05-08 15:11 – Updated: 2026-05-08 17:23
VLAI
EPSS
VEX
Title
ZEBRA: Permanent Block Discovery Halt via Gossip Queue Saturation and Syncer Poisoning
Summary
ZEBRA is a Zcash node written entirely in Rust. Prior to version 4.4.0, a composite denial-of-service vulnerability in Zebra's block discovery pipeline allows an unauthenticated remote attacker to permanently halt all new block discovery on a targeted node. The attack exploits three independent weaknesses in the gossip, syncer, and download subsystems — all exercisable from a single TCP connection — to create a monotonically growing block deficit that never self-heals. This issue has been patched in version 4.4.0.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/ZcashFoundation/zebra/security… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| ZcashFoundation | zebra |
Affected:
< 4.4.0
|
{
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"metrics": [
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}
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CVE-2026-44488 (GCVE-0-2026-44488)
Vulnerability from cvelistv5 – Published: 2026-06-11 15:37 – Updated: 2026-07-15 00:53
VLAI
EPSS
VEX
Title
Axios: Allocation of Resources Without Limits or Throttling in axios
Summary
Axios is a promise based HTTP client for the browser and Node.js. Axios versions 1.7.0 through 1.15.x did not enforce configured request and response size limits when requests were sent with the fetch adapter. Applications that selected adapter: 'fetch', or ran in environments where axios resolved to the fetch adapter, could receive or send bodies larger than maxContentLength or maxBodyLength despite those limits being explicitly configured. This can cause resource exhaustion in server-side usage when a malicious or compromised server returns an oversized response, when an attacker can supply a large data: URL, or when an application forwards attacker-controlled request bodies through axios while relying on maxBodyLength as a boundary. This vulnerability is fixed in 0.32.0 and 1.16.0.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
29 references
Impacted products
57 products
| Vendor | Product | Version | |
|---|---|---|---|
| axios | axios |
Affected:
>= 1.7.0, < 1.16.0
|
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 for RHEL 9 |
Unaffected:
0:2.6.10-1.el9ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
|
| Red Hat | multicluster engine for Kubernetes 2.8 |
Unaffected:
1782157085 , < *
(rpm)
cpe:/a:redhat:multicluster_engine:2.8::el9 |
|
| Red Hat | multicluster engine for Kubernetes 2.9 |
Unaffected:
1783348181 , < *
(rpm)
cpe:/a:redhat:multicluster_engine:2.9::el9 |
|
| Red Hat | Red Hat Advanced Cluster Management for Kubernetes 2.13 |
Unaffected:
1782157514 , < *
(rpm)
cpe:/a:redhat:acm:2.13::el9 |
|
| Red Hat | Red Hat Advanced Cluster Management for Kubernetes 2.14 |
Unaffected:
1783451729 , < *
(rpm)
cpe:/a:redhat:acm:2.14::el9 |
|
| Red Hat | Red Hat Advanced Cluster Security for Kubernetes 4.10 |
Unaffected:
1779293013 , < *
(rpm)
cpe:/a:redhat:advanced_cluster_security:4.10::el8 |
|
| Red Hat | Red Hat Advanced Cluster Security for Kubernetes 4.9 |
Unaffected:
1779371594 , < *
(rpm)
cpe:/a:redhat:advanced_cluster_security:4.9::el8 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 |
Unaffected:
1782761510 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
|
| Red Hat | Red Hat Developer Hub 1.10 |
Unaffected:
1783448184 , < *
(rpm)
cpe:/a:redhat:rhdh:1.10::el9 |
|
| Red Hat | Red Hat Developer Hub 1.9 |
Unaffected:
1781187342 , < *
(rpm)
Unaffected: 1782761244 , < * (rpm) cpe:/a:redhat:rhdh:1.9::el9 |
|
| Red Hat | Red Hat Discovery 2 |
Unaffected:
1782166952 , < *
(rpm)
cpe:/a:redhat:discovery:2::el9 |
|
| Red Hat | Red Hat OpenShift Container Platform 4.15 |
Unaffected:
1782127091 , < *
(rpm)
cpe:/a:redhat:openshift:4.15::el9 |
|
| Red Hat | Red Hat OpenShift Container Platform 4.16 |
Unaffected:
1782244020 , < *
(rpm)
cpe:/a:redhat:openshift:4.16::el9 |
|
| Red Hat | Red Hat OpenShift Container Platform 4.20 |
Unaffected:
1781695012 , < *
(rpm)
cpe:/a:redhat:openshift:4.20::el9 |
|
| Red Hat | Red Hat OpenShift Container Platform 4.21 |
Unaffected:
1781731914 , < *
(rpm)
cpe:/a:redhat:openshift:4.21::el9 |
|
| Red Hat | Red Hat OpenShift Dev Spaces 3.29 |
Unaffected:
1782498475 , < *
(rpm)
cpe:/a:redhat:openshift_devspaces:3.29::el9 |
|
| Red Hat | Red Hat OpenShift Dev Spaces 3.29 |
Unaffected:
1782498792 , < *
(rpm)
cpe:/a:redhat:openshift_devspaces:3.29::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 2.6 |
Unaffected:
1781937133 , < *
(rpm)
cpe:/a:redhat:service_mesh:2.6::el8 |
|
| Red Hat | Red Hat OpenShift Service Mesh 2.6 |
Unaffected:
1782287580 , < *
(rpm)
cpe:/a:redhat:service_mesh:2.6::el8 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3 |
Unaffected:
1782201894 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.0::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3 |
Unaffected:
1782201833 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.0::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.1 |
Unaffected:
1782201696 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.1::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.1 |
Unaffected:
1782201537 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.1::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.2 |
Unaffected:
1782201851 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.2::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.2 |
Unaffected:
1782201812 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.2::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.3 |
Unaffected:
1782231869 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.3::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.3 |
Unaffected:
1782201466 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.3::el9 |
|
| Red Hat | Red Hat Satellite 6.19 |
Unaffected:
1781174698 , < *
(rpm)
cpe:/a:redhat:satellite:6.19::el9 |
|
| Red Hat | Red Hat Satellite 6.19 |
Unaffected:
1782253070 , < *
(rpm)
cpe:/a:redhat:satellite:6.19::el9 |
|
| Red Hat | Red Hat Satellite 6.19 |
Unaffected:
1782243376 , < *
(rpm)
cpe:/a:redhat:satellite:6.19::el9 |
|
| Red Hat | Cryostat 4 |
cpe:/a:redhat:cryostat:4 |
|
| Red Hat | Gatekeeper 3 |
cpe:/a:redhat:gatekeeper:3 |
|
| Red Hat | Migration Toolkit for Applications 8 |
cpe:/a:redhat:migration_toolkit_applications:8 |
|
| Red Hat | Migration Toolkit for Containers |
cpe:/a:redhat:rhmt:1 |
|
| Red Hat | Network Observability Operator |
cpe:/a:redhat:network_observ_optr:1 |
|
| Red Hat | OpenShift Pipelines |
cpe:/a:redhat:openshift_pipelines:1 |
|
| Red Hat | OpenShift Service Mesh 3 |
cpe:/a:redhat:service_mesh:3 |
|
| Red Hat | Red Hat 3scale API Management Platform 2 |
cpe:/a:redhat:red_hat_3scale_amp: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 Apache Camel for Spring Boot 4 |
cpe:/a:redhat:camel_spring_boot: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 3 |
cpe:/a:redhat:apicurio_registry:3 |
|
| Red Hat | Red Hat Build of Podman Desktop - Tech Preview |
cpe:/a:redhat:podman_desktop:0 |
|
| Red Hat | Red Hat Data Grid 8 |
cpe:/a:redhat:jboss_data_grid:8 |
|
| Red Hat | Red Hat Enterprise Linux 8 |
cpe:/o:redhat:enterprise_linux:8 |
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9 |
|
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3 |
|
| 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 Virtualization 4 |
cpe:/a:redhat:container_native_virtualization:4 |
|
| Red Hat | Red Hat Quay 3 |
cpe:/a:redhat:quay:3 |
|
| Red Hat | Red Hat Trusted Artifact Signer |
cpe:/a:redhat:trusted_artifact_signer:1 |
|
| Red Hat | Red Hat Trusted Profile Analyzer |
cpe:/a:redhat:trusted_profile_analyzer:2 |
|
| Red Hat | Self-service automation portal 2 |
cpe:/a:redhat:ansible_portal:2 |
{
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"adp": [
{
"metrics": [
{
"other": {
"content": {
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"options": [
{
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},
{
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},
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"Technical Impact": "partial"
}
],
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"timestamp": "2026-06-11T18:16:26.938269Z",
"version": "2.0.3"
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],
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"references": [
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],
"url": "https://github.com/axios/axios/security/advisories/GHSA-777c-7fjr-54vf"
}
],
"title": "CISA ADP Vulnrichment"
},
{
"affected": [
{
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"cpes": [
"cpe:/a:redhat:ansible_automation_platform:2.6::el9"
],
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"packageName": "automation-platform-ui",
"product": "Red Hat Ansible Automation Platform 2.6 for RHEL 9",
"vendor": "Red Hat",
"versions": [
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"status": "unaffected",
"version": "0:2.6.10-1.el9ap",
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"packageName": "multicluster-engine/console-mce-rhel9",
"product": "multicluster engine for Kubernetes 2.8",
"vendor": "Red Hat",
"versions": [
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"version": "1782157085",
"versionType": "rpm"
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]
},
{
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"cpes": [
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"packageName": "multicluster-engine/console-mce-rhel9",
"product": "multicluster engine for Kubernetes 2.9",
"vendor": "Red Hat",
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"version": "1783348181",
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},
{
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"cpes": [
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],
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"product": "Red Hat Advanced Cluster Management for Kubernetes 2.13",
"vendor": "Red Hat",
"versions": [
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"status": "unaffected",
"version": "1782157514",
"versionType": "rpm"
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]
},
{
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"cpes": [
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"product": "Red Hat Advanced Cluster Management for Kubernetes 2.14",
"vendor": "Red Hat",
"versions": [
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]
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"cpes": [
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"vendor": "Red Hat",
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"product": "Red Hat Advanced Cluster Security for Kubernetes 4.9",
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"cpes": [
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"product": "Red Hat Discovery 2",
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{
"collectionURL": "https://catalog.redhat.com/software/containers/",
"cpes": [
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],
"defaultStatus": "affected",
"packageName": "openshift4/ose-console",
"product": "Red Hat OpenShift Container Platform 4.15",
"vendor": "Red Hat",
"versions": [
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]
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CVE-2026-44247 (GCVE-0-2026-44247)
Vulnerability from cvelistv5 – Published: 2026-05-27 20:56 – Updated: 2026-05-30 01:50
VLAI
EPSS
VEX
Title
Volcano: Webhook server vulnerable to OOM due to unbounded HTTP request body size
Summary
Volcano is a Kubernetes-native batch scheduling system. Prior to v1.14.2, v1.13.3, and v1.12.4, the Volcano webhook server does not enforce a size limit on incoming HTTP request bodies. Any in-cluster pod that can reach the webhook endpoint may send an arbitrarily large request body, potentially causing the webhook server to be killed by OOM. All Volcano deployments with the webhook server exposed to in-cluster traffic are affected. This vulnerability is fixed in v1.14.2, v1.13.3, and v1.12.4.
Severity
6.8 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/volcano-sh/volcano/security/ad… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| volcano-sh | volcano |
Affected:
>= 1.14.0-alpha.0, < 1.14.2
Affected: >= 1.13.0, < 1.13.3 Affected: < 1.12.4 |
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CVE-2026-44240 (GCVE-0-2026-44240)
Vulnerability from cvelistv5 – Published: 2026-05-12 20:37 – Updated: 2026-05-14 12:31
VLAI
EPSS
VEX
Title
basic-ftp allows a malicious FTP server to cause client-side denial of service via unbounded multiline control response buffering
Summary
basic-ftp is an FTP client for Node.js. Prior to 5.3.1, basic-ftp is vulnerable to client-side denial of service when parsing FTP control-channel multiline responses. A malicious or compromised FTP server can send an unterminated multiline response during the initial FTP banner phase, before authentication. The client keeps appending attacker-controlled data into FtpContext._partialResponse and repeatedly reparses the accumulated buffer without enforcing a maximum control response size. As a result, an application using basic-ftp can remain stuck in connect() while memory and CPU usage grow under attacker-controlled input. This can lead to process-level denial of service, container OOM kills, worker restarts, queue backlog, or service degradation in applications that automatically connect to FTP endpoints. This vulnerability is fixed in 5.3.1.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/patrickjuchli/basic-ftp/securi… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| patrickjuchli | basic-ftp |
Affected:
< 5.3.1
|
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CVE-2026-44219 (GCVE-0-2026-44219)
Vulnerability from cvelistv5 – Published: 2026-05-12 19:40 – Updated: 2026-05-13 14:20
VLAI
EPSS
VEX
Title
ciguard: SCA HTTP client reads response body without size cap
Summary
ciguard is a static security auditor for CI/CD pipelines. From 0.6.0 to 0.8.1, both SCA HTTP clients (src/ciguard/analyzer/sca/osv.py and src/ciguard/analyzer/sca/endoflife.py) call payload = json.loads(resp.read().decode('utf-8')) without a maximum-bytes cap. A hostile or compromised endoflife.date / OSV.dev (or a successful TLS MITM) could return a multi-GB response, exhausting the ciguard process's memory. This vulnerability is fixed in 0.8.2.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
1 reference
| URL | Tags |
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| https://github.com/Jo-Jo98/ciguard/security/advis… | x_refsource_CONFIRM |
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CVE-2026-44216 (GCVE-0-2026-44216)
Vulnerability from cvelistv5 – Published: 2026-05-14 14:54 – Updated: 2026-07-15 00:54
VLAI
EPSS
VEX
Title
Wasmtime: Panic when allocating a table exceeding the size of the host's address space
Summary
Wasmtime is a runtime for WebAssembly. From 30.0.0 to 36.0.8, 43.0.2, and 44.0.1, Wasmtime's allocation logic for a WebAssembly table contained checked arithmetic which panicked on overflow. This overflow is possible to trigger, and thus panic, when a table with an extremely large size is allocated. This is possible with the WebAssembly memory64 proposal where tables can have sizes in the 64-bit range as opposed to the previous 32-bit range which would not overflow. The panic happens when attempting to create a very large table, such as when instantiating a WebAssembly module or component. This vulnerability is fixed in 36.0.8, 43.0.2, and 44.0.1.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/bytecodealliance/wasmtime/secu… | x_refsource_CONFIRM |
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Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| bytecodealliance | wasmtime |
Affected:
>= 30.0.0, < 36.0.8
Affected: >= 37.0.0, < 43.0.2 Affected: 44.0.0 |
|
| Red Hat | Red Hat Hardened Images |
Unaffected:
1.97.0-1.1.hum1 , < *
(rpm)
cpe:/a:redhat:hummingbird:1 |
|
| Red Hat | Red Hat Enterprise Linux 10 |
cpe:/o:redhat:enterprise_linux:10 |
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CVE-2026-44070 (GCVE-0-2026-44070)
Vulnerability from cvelistv5 – Published: 2026-05-21 07:35 – Updated: 2026-05-21 12:51
VLAI
EPSS
VEX
Title
Unbounded realloc in charset conversion
Summary
An unbounded memory reallocation in the charset conversion code in Netatalk 2.0.0 through 4.4.2 allows a remote authenticated attacker to cause a minor denial of service via crafted character conversion requests.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://netatalk.io/security/CVE-2026-44070 | vendor-advisory |
Impacted products
Date Public
2026-05-13 00:00
Credits
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],
"title": "Unbounded realloc in charset conversion"
}
},
"cveMetadata": {
"assignerOrgId": "33c584b5-0579-4c06-b2a0-8d8329fcab9c",
"assignerShortName": "securin",
"cveId": "CVE-2026-44070",
"datePublished": "2026-05-21T07:35:02.206Z",
"dateReserved": "2026-05-05T07:25:20.196Z",
"dateUpdated": "2026-05-21T12:51:34.849Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
Mitigation
Requirements
Clearly specify the minimum and maximum expectations for capabilities, and dictate which behaviors are acceptable when resource allocation reaches limits.
Mitigation
Architecture and Design
Limit the amount of resources that are accessible to unprivileged users. Set per-user limits for resources. Allow the system administrator to define these limits. Be careful to avoid CWE-410.
Mitigation
Architecture and Design
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, and it will help the administrator to identify who is committing the abuse. 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 MIT-5
Implementation
Strategy: Input Validation
- Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
- When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
- Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
Mitigation MIT-15
Architecture and Design
For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.
Mitigation
Architecture and Design
- 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 can be difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply requires more resources on the part of the attacker.
- recognizes the attack and denies that user further access for a given amount of time, typically by using increasing time delays
- uniformly throttles all requests in order to make it more difficult to consume resources more quickly than they can again be freed.
Mitigation
Architecture and Design
Ensure that protocols have specific limits of scale placed on them.
Mitigation MIT-38.1
Architecture and Design
Implementation
- If the program must fail, ensure that it fails gracefully (fails closed). There may be a temptation to simply let the program fail poorly in cases such as low memory conditions, but an attacker may be able to assert control before the software has fully exited. Alternately, an uncontrolled failure could cause cascading problems with other downstream components; for example, the program could send a signal to a downstream process so the process immediately knows that a problem has occurred and has a better chance of recovery.
- Ensure that all failures in resource allocation place the system into a safe posture.
Mitigation MIT-47
Operation
Architecture and Design
Strategy: Resource Limitation
- Use quotas or other resource-limiting settings provided by the operating system or environment. For example, when managing system resources in POSIX, setrlimit() can be used to set limits for certain types of resources, and getrlimit() can determine how many resources are available. However, these functions are not available on all operating systems.
- When the current levels get close to the maximum that is defined for the application (see CWE-770), then limit the allocation of further resources to privileged users; alternately, begin releasing resources for less-privileged users. While this mitigation may protect the system from attack, it will not necessarily stop attackers from adversely impacting other users.
- Ensure that the application performs the appropriate error checks and error handling in case resources become unavailable (CWE-703).
CAPEC-125: Flooding
An adversary consumes the resources of a target by rapidly engaging in a large number of interactions with the target. This type of attack generally exposes a weakness in rate limiting or flow. When successful this attack prevents legitimate users from accessing the service and can cause the target to crash. This attack differs from resource depletion through leaks or allocations in that the latter attacks do not rely on the volume of requests made to the target but instead focus on manipulation of the target's operations. The key factor in a flooding attack is the number of requests the adversary can make in a given period of time. The greater this number, the more likely an attack is to succeed against a given target.
CAPEC-130: Excessive Allocation
An adversary causes the target to allocate excessive resources to servicing the attackers' request, thereby reducing the resources available for legitimate services and degrading or denying services. Usually, this attack focuses on memory allocation, but any finite resource on the target could be the attacked, including bandwidth, processing cycles, or other resources. This attack does not attempt to force this allocation through a large number of requests (that would be Resource Depletion through Flooding) but instead uses one or a small number of requests that are carefully formatted to force the target to allocate excessive resources to service this request(s). Often this attack takes advantage of a bug in the target to cause the target to allocate resources vastly beyond what would be needed for a normal request.
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-197: Exponential Data Expansion
An adversary submits data to a target application which contains nested exponential data expansion to produce excessively large output. Many data format languages allow the definition of macro-like structures that can be used to simplify the creation of complex structures. However, this capability can be abused to create excessive demands on a processor's CPU and memory. A small number of nested expansions can result in an exponential growth in demands on memory.
CAPEC-229: Serialized Data Parameter Blowup
This attack exploits certain serialized data parsers (e.g., XML, YAML, etc.) which manage data in an inefficient manner. The attacker crafts an serialized data file with multiple configuration parameters in the same dataset. In a vulnerable parser, this results in a denial of service condition where CPU resources are exhausted because of the parsing algorithm. The weakness being exploited is tied to parser implementation and not language specific.
CAPEC-230: Serialized Data with Nested Payloads
Applications often need to transform data in and out of a data format (e.g., XML and YAML) by using a parser. It may be possible for an adversary to inject data that may have an adverse effect on the parser when it is being processed. Many data format languages allow the definition of macro-like structures that can be used to simplify the creation of complex structures. By nesting these structures, causing the data to be repeatedly substituted, an adversary can cause the parser to consume more resources while processing, causing excessive memory consumption and CPU utilization.
CAPEC-231: Oversized Serialized Data Payloads
An adversary injects oversized serialized data payloads into a parser during data processing to produce adverse effects upon the parser such as exhausting system resources and arbitrary code execution.
CAPEC-469: HTTP DoS
An attacker performs flooding at the HTTP level to bring down only a particular web application rather than anything listening on a TCP/IP connection. This denial of service attack requires substantially fewer packets to be sent which makes DoS harder to detect. This is an equivalent of SYN flood in HTTP. The idea is to keep the HTTP session alive indefinitely and then repeat that hundreds of times. This attack targets resource depletion weaknesses in web server software. The web server will wait to attacker's responses on the initiated HTTP sessions while the connection threads are being exhausted.
CAPEC-482: TCP Flood
An adversary may execute a flooding attack using the TCP protocol with the intent to deny legitimate users access to a service. These attacks exploit the weakness within the TCP protocol where there is some state information for the connection the server needs to maintain. This often involves the use of TCP SYN messages.
CAPEC-486: UDP Flood
An adversary may execute a flooding attack using the UDP protocol with the intent to deny legitimate users access to a service by consuming the available network bandwidth. Additionally, firewalls often open a port for each UDP connection destined for a service with an open UDP port, meaning the firewalls in essence save the connection state thus the high packet nature of a UDP flood can also overwhelm resources allocated to the firewall. UDP attacks can also target services like DNS or VoIP which utilize these protocols. Additionally, due to the session-less nature of the UDP protocol, the source of a packet is easily spoofed making it difficult to find the source of the attack.
CAPEC-487: ICMP Flood
An adversary may execute a flooding attack using the ICMP protocol with the intent to deny legitimate users access to a service by consuming the available network bandwidth. A typical attack involves a victim server receiving ICMP packets at a high rate from a wide range of source addresses. Additionally, due to the session-less nature of the ICMP protocol, the source of a packet is easily spoofed making it difficult to find the source of the attack.
CAPEC-488: HTTP Flood
An adversary may execute a flooding attack using the HTTP protocol with the intent to deny legitimate users access to a service by consuming resources at the application layer such as web services and their infrastructure. These attacks use legitimate session-based HTTP GET requests designed to consume large amounts of a server's resources. Since these are legitimate sessions this attack is very difficult to detect.
CAPEC-489: SSL Flood
An adversary may execute a flooding attack using the SSL protocol with the intent to deny legitimate users access to a service by consuming all the available resources on the server side. These attacks take advantage of the asymmetric relationship between the processing power used by the client and the processing power used by the server to create a secure connection. In this manner the attacker can make a large number of HTTPS requests on a low provisioned machine to tie up a disproportionately large number of resources on the server. The clients then continue to keep renegotiating the SSL connection. When multiplied by a large number of attacking machines, this attack can result in a crash or loss of service to legitimate users.
CAPEC-490: Amplification
An adversary may execute an amplification where the size of a response is far greater than that of the request that generates it. The goal of this attack is to use a relatively few resources to create a large amount of traffic against a target server. To execute this attack, an adversary send a request to a 3rd party service, spoofing the source address to be that of the target server. The larger response that is generated by the 3rd party service is then sent to the target server. By sending a large number of initial requests, the adversary can generate a tremendous amount of traffic directed at the target. The greater the discrepancy in size between the initial request and the final payload delivered to the target increased the effectiveness of this attack.
CAPEC-491: Quadratic Data Expansion
An adversary exploits macro-like substitution to cause a denial of service situation due to excessive memory being allocated to fully expand the data. The result of this denial of service could cause the application to freeze or crash. This involves defining a very large entity and using it multiple times in a single entity substitution. CAPEC-197 is a similar attack pattern, but it is easier to discover and defend against. This attack pattern does not perform multi-level substitution and therefore does not obviously appear to consume extensive resources.
CAPEC-493: SOAP Array Blowup
An adversary may execute an attack on a web service that uses SOAP messages in communication. By sending a very large SOAP array declaration to the web service, the attacker forces the web service to allocate space for the array elements before they are parsed by the XML parser. The attacker message is typically small in size containing a large array declaration of say 1,000,000 elements and a couple of array elements. This attack targets exhaustion of the memory resources of the web service.
CAPEC-494: TCP Fragmentation
An adversary may execute a TCP Fragmentation attack against a target with the intention of avoiding filtering rules of network controls, by attempting to fragment the TCP packet such that the headers flag field is pushed into the second fragment which typically is not filtered.
CAPEC-495: UDP Fragmentation
An attacker may execute a UDP Fragmentation attack against a target server in an attempt to consume resources such as bandwidth and CPU. IP fragmentation occurs when an IP datagram is larger than the MTU of the route the datagram has to traverse. Typically the attacker will use large UDP packets over 1500 bytes of data which forces fragmentation as ethernet MTU is 1500 bytes. This attack is a variation on a typical UDP flood but it enables more network bandwidth to be consumed with fewer packets. Additionally it has the potential to consume server CPU resources and fill memory buffers associated with the processing and reassembling of fragmented packets.
CAPEC-496: ICMP Fragmentation
An attacker may execute a ICMP Fragmentation attack against a target with the intention of consuming resources or causing a crash. The attacker crafts a large number of identical fragmented IP packets containing a portion of a fragmented ICMP message. The attacker these sends these messages to a target host which causes the host to become non-responsive. Another vector may be sending a fragmented ICMP message to a target host with incorrect sizes in the header which causes the host to hang.
CAPEC-528: XML Flood
An adversary may execute a flooding attack using XML messages with the intent to deny legitimate users access to a web service. These attacks are accomplished by sending a large number of XML based requests and letting the service attempt to parse each one. In many cases this type of an attack will result in a XML Denial of Service (XDoS) due to an application becoming unstable, freezing, or crashing.