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GHSA-5j59-xgg2-r9c4

Next has a Denial of Service with Server Components - Incomplete Fix Follow-Up

High npm
Severity
7.5 / 10
High · CVSS 3.1
Exploit chance (EPSS)
—
No score published
Known exploited
No
Not in CISA's catalog
Weakness
CWE-1395 Dependency on Vulnerable Third-Party Component
CWE-400 Uncontrolled Resource Consumption
CWE-502 Deserialization of Untrusted Data
Fix
14.2.35
Upgrade next to this version or later

Description

It was discovered that the fix for CVE-2025-55184 in React Server Components was incomplete and did not fully mitigate denial-of-service conditions across all payload types. As a result, certain crafted inputs could still trigger excessive resource consumption.

This vulnerability affects React versions 19.0.2, 19.1.3, and 19.2.2, as well as frameworks that bundle or depend on these versions, including Next.js 13.x, 14.x, 15.x, and 16.x when using the App Router. The issue is tracked upstream as CVE-2025-67779.

A malicious actor can send a specially crafted HTTP request to a Server Function endpoint that, when deserialized, causes the React Server Components runtime to enter an infinite loop. This can lead to sustained CPU consumption and cause the affected server process to become unresponsive, resulting in a denial-of-service condition in unpatched environments.

Affected versions

npm

PackageVulnerableFixed in
next
>= 13.3.1-canary.0, < 14.2.35
14.2.35
next
>= 15.0.6, < 15.0.7
15.0.7
next
>= 15.1.10, < 15.1.11
15.1.11
next
>= 15.2.7, < 15.2.8
15.2.8
next
>= 15.3.7, < 15.3.8
15.3.8
next
>= 15.4.9, < 15.4.10
15.4.10
next
>= 15.5.8, < 15.5.9
15.5.9
next
>= 15.6.0-canary.59, < 15.6.0-canary.60
15.6.0-canary.60
next
>= 16.0.9, < 16.0.10
16.0.10
next
>= 16.1.0-canary.17, < 16.1.0-canary.19
16.1.0-canary.19

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

next npm → 14.2.35

npm
npm install next@14.2.35
yarn
yarn add next@14.2.35
pnpm
pnpm add next@14.2.35

Severity breakdown

CVSS 3.1 7.5

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Weakness

CWE-1395: Dependency on Vulnerable Third-Party Component

The product has a dependency on a third-party component that contains one or more known vulnerabilities.

How to prevent it
  • Requirements, Policy: In some industries such as healthcare [REF-1320] [REF-1322] or technologies such as the cloud [REF-1321], it might be unclear about who is responsible for applying patches for third-party vulnerabilities: the vendor, the operator/customer, or a separate service. Clarifying roles and responsibilities can be important to minimize confusion or unnecessary delay when third-party vulnerabilities are disclosed.
  • Requirements: Require a Bill of Materials for all components and sub-components of the product. For software, require a Software Bill of Materials (SBOM) [REF-1247] [REF-1311].
  • Architecture and Design, Implementation, Integration, Manufacturing: Maintain a Bill of Materials for all components and sub-components of the product. For software, maintain a Software Bill of Materials (SBOM). According to [REF-1247], "An SBOM is a formal, machine-readable inventory of software components and dependencies, information about those components, and their hierarchical relationships."
  • Operation, Patching and Maintenance: Actively monitor when a third-party component vendor announces vulnerability patches; fix the third-party component as soon as possible; and make it easy for operators/customers to obtain and apply the patch.
  • Operation, Patching and Maintenance: Continuously monitor changes in each of the product's components, especially when the changes indicate new vulnerabilities, end-of-life (EOL) plans, etc.

CWE-400: Uncontrolled Resource Consumption

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

How to prevent it
  • 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. 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.
  • Architecture and Design: Mitigation of resource exhaustion attacks requires that the target system either: 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. 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.
  • Architecture and Design: Ensure that protocols have specific limits of scale placed on them.
  • Implementation: Ensure that all failures in resource allocation place the system into a safe posture.

CWE-502: Deserialization of Untrusted Data

The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

How to prevent it
  • Architecture and Design, Implementation: If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
  • Implementation: When deserializing data, populate a new object rather than just deserializing. The result is that the data flows through safe input validation and that the functions are safe.
  • Implementation: Explicitly define a final object() to prevent deserialization.
  • Architecture and Design, Implementation: Make fields transient to protect them from deserialization. An attempt to serialize and then deserialize a class containing transient fields will result in NULLs where the transient data should be. This is an excellent way to prevent time, environment-based, or sensitive variables from being carried over and used improperly.
  • Implementation: Avoid having unnecessary types or gadgets (a sequence of instances and method invocations that can self-execute during the deserialization process, often found in libraries) available that can be leveraged for malicious ends. This limits the potential for unintended or unauthorized types and gadgets to be leveraged by the attacker. Add only acceptable classes to an allowlist. Note: new gadgets are constantly being discovered, so this alone is not a sufficient mitigation.
  • Architecture and Design, Implementation: Employ cryptography of the data or code for protection. However, it's important to note that it would still be client-side security. This is risky because if the client is compromised then the security implemented on the client (the cryptography) can be bypassed.
  • Operation: Use an application firewall that can detect attacks against this weakness. It can be beneficial in cases in which the code cannot be fixed (because it is controlled by a third party), as an emergency prevention measure while more comprehensive software assurance measures are applied, or to provide defense in depth [REF-1481].

References

Timeline

  1. Published
  2. Last updated by the source
AdvisorySeverityWhy it's related
GHSA-673q-mjm6-r5xr
Next.js: Unauthenticated Remote Code Execution in `use cache` functions returning typed arrays
Critical Also affects next
GHSA-2464-fhr4-w9xw
Next.js: Unauthenticated Remote Code Execution in Image Optimization API when SVG files are used
Critical Also affects next
GHSA-p3m5-59mp-jv5r
Next.js: Denial of Service in App Router using Server Actions
High Also affects next
GHSA-3w37-wq28-93x7
Next.js: Pending `use cache` fill can leak Draft Mode content into regular responses and persisted pages
Medium Also affects next
GHSA-4jqv-mc3x-m676
Next.js has cache poisoning of SSG and ISR pages in self-hosted applications
Medium Also affects next
GHSA-39w2-rjm5-chcv
Next.js has information disclosure in development server's Model Context Protocol endpoint
Medium Also affects next
GHSA-f87g-xv8r-7p7x
Next.js has information disclosure in App Router metadata image routes via dynamicParams bypass
Medium Also affects next
GHSA-mcj8-r9mp-w47p
Next.js has cache poisoning in SSG/ISR rendering that leads to cross-user content substitution and persistent denial of service
Medium Also affects next
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