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CVE-2026-56150

Allocation of Resources Without Limits or Throttling in Fleet Server Leading to Denial of Service

Allocation of Resources Without Limits or Throttling (CWE-770) in Fleet Server can lead to a denial of service via Excessive Allocation (CAPEC-130). An attacker can submit a specially crafted request to an upload endpoint that causes excessive memory consumption, which may render Fleet Server unavailable.

CVSS 3.1 · 6.5 Medium EPSS < 1% KEV · Not listed
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CVE-2026-49087

Allocation of Resources Without Limits or Throttling in Kibana Leading to Denial of Service

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user can submit a specially crafted bulk deletion request that causes excessive resource consumption, which may render Kibana unavailable.

CVSS 3.1 · 6.5 Medium EPSS < 1% KEV · Not listed
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CVE-2025-36319

Vulnerabilities found in Watson Data Intelligence

IBM watsonx.data intelligence 5.2.0, 5.2.1, 5.2.2, 5.3.0 could allow an authenticated user to cause a temporary denial using a specially crafted HTTP request due to improper allocation of resource throttling.

CVSS 3.1 · 4.3 Medium EPSS < 1% KEV · Not listed
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Ibm
CVE-2026-27869

WEB SERVICE (HTTP) DENIAL OF SERVICE VIA SLOW HEADERS ON REGESTA SMART HD-PLC OF TELDAT

An attacker with access via network to the Regesta Smart HD-PLC of the provider Teldat (in this case, NO registration action is required) who has the vulnerable software could, with a Slow Loris attack, cause Denial of Service (DoS) on the web interface of the device. This issue affects Regesta Smart HD-PLC - TLDPH16D2: 11.02.05.10.02.

CVSS 4.0 · 6.9 Medium EPSS < 1% KEV · Not listed
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CVE-2026-50750

Apache ActiveMQ Broker, Apache ActiveMQ, Apache ActiveMQ All: Pre-authentication OpenWire DoS following fix for CVE-2026-49270

Denial of Service via Out of Memory vulnerability in Apache ActiveMQ Broker, Apache ActiveMQ, Apache ActiveMQ All. Following the fix for CVE-2026-49270 an unauthenticated attacker can now cause broker OOM by sending an repeated BrokerInfo commands without sending a ConnectionInfo, until the broker will crash with OOM. This issue affects Apache ActiveMQ Broker: from 5.19.7 before 5.19.8, from 6.2.6 before 6.2.7; Apache ActiveMQ: from 5.19.7 before 5.19.8, from 6.2.6 before 6.2.7; Apache ActiveMQ All: from 5.19.7 before 5.19.8, from 6.2.6 before 6.2.7. Users are recommended to upgrade to version 6.2.7, which fixes the issue.

CVSS 3.1 · 7.5 High EPSS < 1% KEV · Not listed
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CVE-2026-50734

Apache ActiveMQ Client, Apache ActiveMQ, Apache ActiveMQ All: Pre-authentication OpenWire memory-allocation DoS during wire format negotiation

Memory Allocation with Excessive Size Value vulnerability in Apache ActiveMQ Client, Apache ActiveMQ, Apache ActiveMQ All. An unauthenticated network attacker can cause a broker DoS by sending a crafted WireFormatInfo frame with a malicious large size value. The value is not validate and causes the broker to attempt allocation during pre-auth negotiation which can trigger OOM and crash the broker. This issue affects Apache ActiveMQ Client: before 5.19.8, from 6.0.0 before 6.2.7; Apache ActiveMQ: before 5.19.8, from 6.0.0 before 6.2.7; Apache ActiveMQ All: before 5.19.8, from 6.0.0 before 6.2.7. Users are recommended to upgrade to version 6.2.7 or 5.19.8, which fixes the issue.

CVSS 3.1 · 7.5 High EPSS < 1% KEV · Not listed
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CVE-2026-53917

Apache ActiveMQ, Apache ActiveMQ All, Apache ActiveMQ Client, Apache ActiveMQ Broker: Unbounded memory allocation in OpenWire property unmarshalling

Memory Allocation with Excessive Size Value vulnerability in Apache ActiveMQ, Apache ActiveMQ All, Apache ActiveMQ Client, Apache ActiveMQ Broker. An authenticated user can cause a broker DoS by sending a crafted OpenWire Message with a large encoded size value for the map. OpenWire message property maps are unmarshaled without size validation which can trigger OOM and crash the broker. This issue affects Apache ActiveMQ: before 5.19.8, from 6.0.0 before 6.2.7; Apache ActiveMQ All: before 5.19.8, from 6.0.0 before 6.2.7; Apache ActiveMQ Client: before 5.19.8, from 6.0.0 before 6.2.7; Apache ActiveMQ Broker: before 5.19.8, from 6.0.0 before 6.2.7. Users are recommended to upgrade to version 6.2.7 or 5.19.8, which fixes the issue.

CVSS 3.1 · 7.5 High EPSS < 1% KEV · Not listed
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CVE-2026-12818

DVP-12SE Exposure of Sensitive Information Vulnerability

Delta Electronics DVP12SE PLCs are susceptible to a resource allocation vulnerability without limits or throttling (CWE-770) within their Modbus TCP service.

CVSS 4.0 · 9.3 Critical EPSS < 1% KEV · Not listed
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CVE-2025-59089

Python-kdcproxy: remote dos via unbounded tcp upstream buffering

If an attacker causes kdcproxy to connect to an attacker-controlled KDC server (e.g. through server-side request forgery), they can exploit the fact that kdcproxy does not enforce bounds on TCP response length to conduct a denial-of-service attack. While receiving the KDC's response, kdcproxy copies the entire buffered stream into a new buffer on each recv() call, even when the transfer is incomplete, causing excessive memory allocation and CPU usage. Additionally, kdcproxy accepts incoming response chunks as long as the received data length is not exactly equal to the length indicated in the response header, even when individual chunks or the total buffer exceed the maximum length of a Kerberos message. This allows an attacker to send unbounded data until the connection timeout is reached (approximately 12 seconds), exhausting server memory or CPU resources. Multiple concurrent requests can cause accept queue overflow, denying service to legitimate clients.

CVSS 3.1 · 5.9 Medium EPSS < 1% KEV · Not listed
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CVE-2026-53426

Atom-table exhaustion denial-of-service via JSON parse_document in MDEx

Allocation of Resources Without Limits or Throttling vulnerability in leandrocp MDEx allows Excessive Allocation. MDEx.parse_document/2 accepts a {:json, json} source. In lib/mdex.ex, the private json_to_node/1 function passes the attacker-controlled node_type value to Module.concat/1, which calls String.to_atom/1 and interns a brand-new atom for every distinct value. Atoms are never garbage collected on the BEAM, so a crafted JSON document carrying a unique node_type at each (deeply nested) node mints one permanent atom per node. A single document can intern hundreds of thousands of atoms, and a large enough document exhausts the default atom table (around 1,048,576 atoms) and aborts the entire Erlang VM, taking down every process on the node. Any application that passes untrusted input to the {:json, ...} source of MDEx.parse_document is exposed to an unauthenticated denial-of-service. This issue affects mdex from 0.4.3 before 0.13.2.

CVSS 4.0 · 8.2 High EPSS < 1% KEV · Not listed
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CVE-2026-42440

Apache OpenNLP: OOM DoS via Unbounded Array Allocation in AbstractModelReader

OOM Denial of Service via Unbounded Array Allocation in Apache OpenNLP AbstractModelReader  Versions Affected:  before 1.9.5 before 2.5.9 before 3.0.0-M3  Description: The AbstractModelReader methods getOutcomes(), getOutcomePatterns(), and getPredicates() each read a 32-bit signed integer count field from a binary model stream and pass that value directly to an array allocation (new String[numOutcomes], new int[numOCTypes][], new String[NUM_PREDS]) without validating that the value is non-negative or within a reasonable bound. The count is therefore fully attacker-controlled when the model file originates from an untrusted source. A crafted .bin model file in which any of these count fields is set to Integer.MAX_VALUE (or any value large enough to exhaust the available heap) triggers an OutOfMemoryError at the array allocation itself, before the corresponding label or pattern data is consumed from the stream. The error occurs very early in deserialization: for a GIS model, getOutcomes() is reached after only the model-type string, the correction constant, and the correction parameter have been read; so the attacker pays no meaningful size cost to weaponize a payload, and a single small file can crash a JVM that loads it. Any code path that deserializes a .bin model is affected, including direct use of GenericModelReader and any higher-level component that delegates to it during model load. The practical impact is denial of service against processes that load model files from untrusted or semi-trusted origins.   Mitigation: * 2.x users should upgrade to 2.5.9. * 3.x users should upgrade to 3.0.0-M3. Note: The fix introduces an upper bound on each of the three count fields, checked before array allocation; counts that are negative or exceed the bound cause an IllegalArgumentException to be thrown and the read to fail fast with no large allocation. The default bound is 10,000,000, which is well above the entry counts of legitimate OpenNLP models but far below any value that would threaten heap exhaustion. Deployments that legitimately need to load models with more entries than the default can raise the limit at JVM startup by setting the OPENNLP_MAX_ENTRIES system property to the desired positive integer (e.g. -DOPENNLP_MAX_ENTRIES=50000000); invalid or non-positive values fall back to the default. Users who cannot upgrade immediately should treat all .bin model files as untrusted input unless their provenance is verified, and should avoid loading models supplied by end users or fetched from third-party repositories without integrity checks.

CVSS 3.1 · 7.5 High EPSS < 1% KEV · Not listed
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CVE-2025-32423

AutoGPT: There is a DoS vulnerability in ExtractTextInformationBlock

AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.32, there is a DoS vulnerability in ExtractTextInformationBlock. Malicious users can amplify their input. For example, if a malicious user inputs 10K of content, the server will consume 50G of memory, eventually causing memory resources to be exhausted, resulting in DoS. This vulnerability is fixed in 0.6.32.

CVSS 4.0 · 5.3 Medium EPSS < 1% KEV · Not listed
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CVE-2025-32394

AutoGPT: There is a DoS vulnerability in AITextSummarizerBlock

AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.32, there is a DoS vulnerability in AITextSummarizerBlock. Malicious users can amplify their input. For example, if a malicious user inputs 10K of content, the server will consume 50G of memory, eventually causing memory resources to be exhausted, resulting in DoS. This vulnerability is fixed in 0.6.32.

CVSS 4.0 · 5.3 Medium EPSS < 1% KEV · Not listed
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CVE-2026-48044

Envoy Zstd Decompressor: Ratio Check at Wrong Loop Depth lead to memory explosion

Envoy is an open source edge and service proxy designed for cloud-native applications. From 1.23.0 until 1.35.11, 1.36.7, 1.37.3, and 1.38.1, a vulnerability has been identified in Envoy's zstd decompressor implementation (ZstdDecompressorImpl). When zstd decompression is enabled, processing a specially crafted, highly compressed zstd payload can lead to massive memory allocation. An attacker can exploit this to cause severe memory exhaustion, potentially resulting in an Out-Of-Memory (OOM) kill and Denial of Service (DoS) for the Envoy proxy. This vulnerability is fixed in 1.35.11, 1.36.7, 1.37.3, and 1.38.1.

CVSS 3.1 · 7.5 High EPSS < 1% KEV · Not listed
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CVE-2026-46602

Lack of limit on tile sizes in x/image/tiff in golang.org/x/image

The TIFF decoder does not set a limit on the size of tiles in tiled images, permitting a malicious or corrupt image containing a very large tile to cause unbounded memory consumption.

CVSS 3.1 · 7.5 High EPSS < 1% KEV · Not listed
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CVE-2026-47770

jq: stack overflow in deep structural equality

jq is a command-line JSON processor. Prior to 1.8.2, comparing two sufficiently deeply nested arrays with the == operator exhausts the C stack on jq's ordinary command-line surface, resulting in denial of service via stack exhaustion (uncontrolled recursion). The crash occurs in jq's recursive structural comparison code, with the recursion repeating through jvp_array_equal() and jv_equal() in src/jv.c when comparing deeply nested arrays; a nearby sort comparator path through jv_cmp() in src/jv_aux.c overflows the stack at a larger nesting depth from the same missing recursion guard. Anyone running jq comparisons on attacker-controlled deeply nested JSON values, or embedding jq in a context where untrusted data can reach the == comparison path, is affected. This vulnerability is fixed in 1.8.2.

CVSS 4.0 · 6.8 Medium EPSS < 1% KEV · Not listed
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CVE-2026-48933

nodejs: Node.js WebCrypto: Denial of Service via large input to subtle.encrypt()

A flaw in Node.js WebCrypto implementation can crash the process if the input of `subtle.encrypt()` is a multiple of 2GiB. This vulnerability affects all supported release lines: **Node.js 22**, **Node.js 24**, and **Node.js 26**.

CVSS 3.1 · 7.5 High EPSS 3.7% KEV · Not listed
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CVE-2026-48619

nodejs: Node.js: Denial of Service via unlimited HTTP/2 ORIGIN frames

A flaw in Node.js HTTP/2 client allows a server to send an unlimited number of ORIGIN frames, which could lead to an Out of Memory error on the client. This vulnerability affects all supported release lines: **Node.js 22**, **Node.js 24**, and **Node.js 26**.

CVSS 3.1 · 7.5 High EPSS < 1% KEV · Not listed
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CVE-2026-13322

Kubevirt: virt-handler-rhel9: kubevirt: unbounded virtio-serial readline in virt-handler causes oom denial of service

A flaw was found in KubeVirt's downward metrics virtio-serial server. The server reads guest requests using textproto.Reader.ReadLine(), which buffers input indefinitely until a newline character is received, with no length limit or read deadline. A user with access to a VM guest that has the downward metrics virtio-serial device configured can write a continuous byte stream to the device, causing unbounded memory allocation in the virt-handler process until it is OOM-killed.

CVSS 3.1 · 3.8 Low EPSS < 1% KEV · Not listed
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CVE-2025-7737

DoS Vulnerability in 10G iSCSI Interface of Hitachi Virtual Storage Platform

DoS Vulnerability in 10G iSCSI Interface of Hitachi Virtual Storage Platform. This issue affects Hitachi Virtual Storage Platform E990, E1090, E1090H: before DKCMAIN Ver.93-07-21-80/00-05, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-07-01-80/00-07, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-06-82-80/00-06, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-06-63-80/00-04, CHB(iSCSI) Ver.88-01-02-04; Hitachi Virtual Storage Platform E390, E590, E790, E390H, E590H, E790H: before DKCMAIN Ver.93-07-21-x0/00-05, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-07-01-x0/00-07, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-06-82-x0/00-06, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-06-63-x0/00-04, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-07-24-x0/00-02, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-07-02-x0/00-02, CHB(iSCSI) Ver.88-01-02-04; Hitachi Virtual Storage Platform G130, G150, G350, G370, G700, G900, F350, F370, F700, F900: before DKCMAIN Ver.88-08-10-x0/00-05, CHB(iSCSI) Ver.88-01-02-04; Hitachi Virtual Storage Platform G100, G200, G400, G600, G800, F400, F600, F800: before DKCMAIN Ver.83-06-20-x0/00-05, CHB(iSCSI) Ver.83-01-01-29; Hitachi Virtual Storage Platform VX8, 5100, 5500, 5100H, 5500H, 5200, 5600, 5200H, 5600H: before DKCMAIN Ver.90-09-01-00/01-01, CHB(iSCSI) Ver.90-01-01-07, before DKCMAIN Ver.90-08-83-00/01-01, CHB(iSCSI) Ver.90-01-01-07, before DKCMAIN Ver.90-08-63-00/01-01, CHB(iSCSI) Ver.90-01-01-07; Hitachi Virtual Storage Platform VX7, G1000, G1500, F1500: before DKCMAIN Ver.80-06-93-00/00-04, ISFC Ver.80-01-17.

CVSS 3.1 · 8.6 High EPSS < 1% KEV · Not listed
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