CWE-400

Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource.

CVE-2026-34148 (GCVE-0-2026-34148)

Vulnerability from cvelistv5 – Published: 2026-04-06 15:06 – Updated: 2026-04-07 14:25
VLAI
Title
Fedify affected by resource exhaustion caused by unbounded redirect following during remote key/document resolution
Summary
Fedify is a TypeScript library for building federated server apps powered by ActivityPub. Prior to 1.9.6, 1.10.5, 2.0.8, and 2.1.1, @fedify/fedify follows HTTP redirects recursively in its remote document loader and authenticated document loader without enforcing a maximum redirect count or visited-URL loop detection. An attacker who controls a remote ActivityPub key or actor URL can force a server using Fedify to make repeated outbound requests from a single inbound request, leading to resource consumption and denial of service. This vulnerability is fixed in 1.9.6, 1.10.5, 2.0.8, and 2.1.1.
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-400 - Uncontrolled Resource Consumption
  • CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
Impacted products
Vendor Product Version
@fedify fedify Affected: < 1.9.6
Affected: >= 1.10.0, < 1.10.5
Affected: >= 2.0.0, < 2.0.8
Affected: >= 2.1.0, < 2.1.1
Create a notification for this product.
@fedify vocab-runtime Affected: < 2.0.8
Affected: >= 2.1.0, < 2.1.1
Create a notification for this product.
Show details on NVD website

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CVE-2026-34166 (GCVE-0-2026-34166)

Vulnerability from cvelistv5 – Published: 2026-04-08 17:52 – Updated: 2026-04-10 20:37
VLAI
Title
LiquidJS has a Memory Limit Bypass via Quadratic Amplification in `replace` Filter
Summary
LiquidJS is a Shopify / GitHub Pages compatible template engine in pure JavaScript. Prior to 10.25.3, the replace filter in LiquidJS incorrectly accounts for memory usage when the memoryLimit option is enabled. It charges str.length + pattern.length + replacement.length bytes to the memory limiter, but the actual output from str.split(pattern).join(replacement) can be quadratically larger when the pattern occurs many times in the input string. This allows an attacker who controls template content to bypass the memoryLimit DoS protection with approximately 2,500x amplification, potentially causing out-of-memory conditions. This vulnerability is fixed in 10.25.3.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-400 - Uncontrolled Resource Consumption
Assigner
Impacted products
Vendor Product Version
harttle liquidjs Affected: < 10.25.3
Create a notification for this product.
Show details on NVD website

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CVE-2026-34230 (GCVE-0-2026-34230)

Vulnerability from cvelistv5 – Published: 2026-04-02 16:41 – Updated: 2026-04-03 18:19
VLAI
Title
Rack: Quadratic complexity in Rack::Utils.select_best_encoding via wildcard Accept-Encoding header
Summary
Rack is a modular Ruby web server interface. Prior to versions 2.2.23, 3.1.21, and 3.2.6, Rack::Utils.select_best_encoding processes Accept-Encoding values with quadratic time complexity when the header contains many wildcard (*) entries. Because this method is used by Rack::Deflater to choose a response encoding, an unauthenticated attacker can send a single request with a crafted Accept-Encoding header and cause disproportionate CPU consumption on the compression middleware path. This results in a denial of service condition for applications using Rack::Deflater. This issue has been patched in versions 2.2.23, 3.1.21, and 3.2.6.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-400 - Uncontrolled Resource Consumption
  • CWE-407 - Inefficient Algorithmic Complexity
Assigner
References
Impacted products
Vendor Product Version
rack rack Affected: < 2.2.23
Affected: >= 3.0.0.beta1, < 3.1.21
Affected: >= 3.2.0, < 3.2.6
Create a notification for this product.
Show details on NVD website

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CVE-2026-34404 (GCVE-0-2026-34404)

Vulnerability from cvelistv5 – Published: 2026-03-31 21:16 – Updated: 2026-04-01 13:37
VLAI
Title
Nuxt OG Image vulnerable to DoS via image generation
Summary
Nuxt OG Image generates OG Images with Vue templates in Nuxt. Prior to version 6.2.5, the image‑generation component by the URI: /_og/d/ (and, in older versions, /og-image/) contains a Denial of Service (DoS) vulnerability. The issue arises because there is no restriction on the width and height parameters of the generated image. The vulnerability was reproduced using the standard configuration and the default templates. This issue has been patched in version 6.2.5.
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-400 - Uncontrolled Resource Consumption
Assigner
References
Impacted products
Vendor Product Version
nuxt-modules og-image Affected: < 6.2.5
Create a notification for this product.
Show details on NVD website

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CVE-2026-34445 (GCVE-0-2026-34445)

Vulnerability from cvelistv5 – Published: 2026-04-01 17:30 – Updated: 2026-04-01 18:00
VLAI
Title
ONNX: Malicious ONNX models can crash servers by exploiting unprotected object settings.
Summary
Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, the ExternalDataInfo class in ONNX was using Python’s setattr() function to load metadata (like file paths or data lengths) directly from an ONNX model file. It didn’t check if the "keys" in the file were valid. Due to this, an attacker could craft a malicious model that overwrites internal object properties. This issue has been patched in version 1.21.0.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-20 - Improper Input Validation
  • CWE-400 - Uncontrolled Resource Consumption
  • CWE-915 - Improperly Controlled Modification of Dynamically-Determined Object Attributes
Assigner
Impacted products
Vendor Product Version
onnx onnx Affected: < 1.21.0
Create a notification for this product.
Show details on NVD website

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CVE-2026-34593 (GCVE-0-2026-34593)

Vulnerability from cvelistv5 – Published: 2026-04-02 17:42 – Updated: 2026-04-03 13:04
VLAI
Title
Ash Framework: Ash.Type.Module.cast_input/2 atom exhaustion via unchecked Module.concat allows BEAM VM crash
Summary
Ash Framework is a declarative, extensible framework for building Elixir applications. Prior to version 3.22.0, Ash.Type.Module.cast_input/2 unconditionally creates a new Erlang atom via Module.concat([value]) for any user-supplied binary string that starts with "Elixir.", before verifying whether the referenced module exists. Because Erlang atoms are never garbage-collected and the BEAM atom table has a hard default limit of approximately 1,048,576 entries, an attacker who can submit values to any resource attribute or argument of type :module can exhaust this table and crash the entire BEAM VM, taking down the application. This issue has been patched in version 3.22.0.
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-400 - Uncontrolled Resource Consumption
Assigner
References
Impacted products
Vendor Product Version
ash-project ash Affected: < 3.22.0
Create a notification for this product.
Show details on NVD website

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CVE-2026-34648 (GCVE-0-2026-34648)

Vulnerability from cvelistv5 – Published: 2026-05-12 19:50 – Updated: 2026-05-13 01:30
VLAI
Title
Adobe Commerce | Uncontrolled Resource Consumption (CWE-400)
Summary
Adobe Commerce versions 2.4.9-beta1, 2.4.8-p4, 2.4.7-p9, 2.4.6-p14, 2.4.5-p16, 2.4.4-p17 and earlier are affected by an Uncontrolled Resource Consumption vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to exhaust system resources, resulting in an application denial-of-service condition. Exploitation of this issue does not require user interaction.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-400 - Uncontrolled Resource Consumption (CWE-400)
Assigner
References
Impacted products
Vendor Product Version
Adobe Adobe Commerce Affected: 0 , ≤ 2.4.4-p17 (semver)
Create a notification for this product.
Date Public
2026-05-12 17:00
Show details on NVD website

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CVE-2026-34649 (GCVE-0-2026-34649)

Vulnerability from cvelistv5 – Published: 2026-05-12 19:50 – Updated: 2026-05-13 00:21
VLAI
Title
Adobe Commerce | Uncontrolled Resource Consumption (CWE-400)
Summary
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SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-400 - Uncontrolled Resource Consumption (CWE-400)
Assigner
References
Impacted products
Vendor Product Version
Adobe Adobe Commerce Affected: 0 , ≤ 2.4.4-p17 (semver)
Create a notification for this product.
Date Public
2026-05-12 17:00
Show details on NVD website

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CVE-2026-34650 (GCVE-0-2026-34650)

Vulnerability from cvelistv5 – Published: 2026-05-12 19:50 – Updated: 2026-05-13 01:29
VLAI
Title
Adobe Commerce | Uncontrolled Resource Consumption (CWE-400)
Summary
Adobe Commerce versions 2.4.9-beta1, 2.4.8-p4, 2.4.7-p9, 2.4.6-p14, 2.4.5-p16, 2.4.4-p17 and earlier are affected by an Uncontrolled Resource Consumption vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to exhaust system resources, resulting in an application denial-of-service condition. Exploitation of this issue does not require user interaction.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-400 - Uncontrolled Resource Consumption (CWE-400)
Assigner
References
Impacted products
Vendor Product Version
Adobe Adobe Commerce Affected: 0 , ≤ 2.4.4-p17 (semver)
Create a notification for this product.
Date Public
2026-05-12 17:00
Show details on NVD website

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CVE-2026-34651 (GCVE-0-2026-34651)

Vulnerability from cvelistv5 – Published: 2026-05-12 19:50 – Updated: 2026-05-13 00:24
VLAI
Title
Adobe Commerce | Uncontrolled Resource Consumption (CWE-400)
Summary
Adobe Commerce versions 2.4.9-beta1, 2.4.8-p4, 2.4.7-p9, 2.4.6-p14, 2.4.5-p16, 2.4.4-p17 and earlier are affected by an Uncontrolled Resource Consumption vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to exhaust system resources, resulting in an application denial-of-service condition. Exploitation of this issue does not require user interaction.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-400 - Uncontrolled Resource Consumption (CWE-400)
Assigner
References
Impacted products
Vendor Product Version
Adobe Adobe Commerce Affected: 0 , ≤ 2.4.4-p17 (semver)
Create a notification for this product.
Date Public
2026-05-12 17:00
Show details on NVD website

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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.

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