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GHSA-hxcr-hm88-mpq6 CVE-2026-71314

Nuxt: Unauthenticated out-of-memory crash via unbounded v-for expansion in island rendering

High npm
Severity
7.5 / 10
High · CVSS 3.1
Exploit chance (EPSS)
0.91%
Chance of exploitation in the next 30 days. Higher than 59.93% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-1284 Improper Validation of Specified Quantity in Input
CWE-400 Uncontrolled Resource Consumption
CWE-770 Allocation of Resources Without Limits or Throttling
CWE-789 Memory Allocation with Excessive Size Value
Fix
4.5.1
Upgrade nuxt to this version or later

Description

Impact

An unauthenticated attacker can crash a Nuxt server that renders any island / server component containing a v-for over a prop (for example v-for="n in count" or a <slot v-for>). Because the island URL hash is a non-secret digest of the request, the attacker can compute a valid hash for arbitrary props and send the iterated prop as a large integer. The server then expands the v-for to that many nodes during SSR, allocating memory proportional to the attacker's number. Reporter figures: count=8000000 produced a 142.9 MB response; count=40000000 (and items=4000000 on a slot list) produced an out-of-memory crash of the worker from a single ~130-byte request. Both the plain v-for path (Vue's ssrRenderList) and the slot path (vforToArray) are affected.

Patches

Fixed in nuxt@4.5.1 and nuxt@3.21.10. Island/server-component v-for sources are now clamped to a maximum iteration count (MAX_VFOR_LENGTH = 100000) at the render boundary, covering the plain path, the <slot v-for> element, and the vforToArray slot-props helper. Combined with the body-size cap (GHSA-9pgf-384g-p7mv), a single island render can no longer allocate without bound regardless of which v-for path is used or whether the prop arrives as an integer or an array.

Workarounds

Avoid v-for directly over an unclamped prop in server components, or clamp the count in the component (v-for="n in Math.min(count, 1000)"). A body-size limit in front of /__nuxt_island/ only mitigates array-shaped inputs, not the integer-amplification case.

References

  • Bound helper: packages/nuxt/src/app/components/vfor.ts
  • Transform: packages/nuxt/src/components/plugins/islands-transform.ts
  • Slot helper: packages/nuxt/src/app/components/utils.ts (vforToArray)

Affected versions

npm

PackageVulnerableFixed in
nuxt
>= 4.0.0, < 4.5.1
4.5.1
nuxt
>= 3.1.0, < 3.21.10
3.21.10

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.

nuxt npm → 4.5.1

npm
npm install nuxt@4.5.1
yarn
yarn add nuxt@4.5.1
pnpm
pnpm add nuxt@4.5.1

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-1284: Improper Validation of Specified Quantity in Input

The product receives input that is expected to specify a quantity (such as size or length), but it does not validate or incorrectly validates that the quantity has the required properties.

How to prevent it
  • Implementation: 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.

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-770: Allocation of Resources Without Limits or Throttling

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.

How to prevent it
  • Requirements: Clearly specify the minimum and maximum expectations for capabilities, and dictate which behaviors are acceptable when resource allocation reaches limits.
  • 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.
  • 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.
  • Implementation: 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.
  • 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.
  • 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, 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. 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.
  • Architecture and Design: Ensure that protocols have specific limits of scale placed on them.
  • 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.
  • Operation, Architecture and Design: 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).

CWE-789: Memory Allocation with Excessive Size Value

The product allocates memory based on an untrusted, large size value, but it does not ensure that the size is within expected limits, allowing arbitrary amounts of memory to be allocated.

How to prevent it
  • Implementation, Architecture and Design: Perform adequate input validation against any value that influences the amount of memory that is allocated. Define an appropriate strategy for handling requests that exceed the limit, and consider supporting a configuration option so that the administrator can extend the amount of memory to be used if necessary.
  • Operation: Run your program using system-provided resource limits for memory. This might still cause the program to crash or exit, but the impact to the rest of the system will be minimized.

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-9v7c-q64q-vv33
Nuxt: Dot segments in the request path bypass `server/middleware` path checks and server route rules on page routes
Medium Also affects nuxt
GHSA-xfq5-w38q-pc2x
Nuxt server islands render `useHeadSafe` input without sanitisation
Medium Also affects nuxt
GHSA-vjh5-4x84-xrqp
Nuxt: Server-side route rules (`redirect`, `headers`, `proxy`, `ssr`) are skipped for case-variant paths when routing is case-insensitive
Medium Also affects nuxt
GHSA-6gq8-jgmh-3ffp
Nuxt: Route rules are matched against the raw request path, so a percent-encoded segment can bypass `appMiddleware` on dynamic and catch-all routes
Medium Also affects nuxt
GHSA-jjm6-p2m9-9w4x
Nuxt: Incomplete fix for GHSA-934w-87qh-qr26: a `javascript:` URL prefixed with an ASCII control character executes from `<NuxtLink>` when `pages` is disabled
Low Also affects nuxt
GHSA-7c4v-fwgw-9rf7
Nuxt dev server discloses project root and workspace UUID via the Chrome DevTools workspace endpoint
Medium Also affects nuxt
GHSA-9pgf-384g-p7mv
Nuxt: Unauthenticated CPU exhaustion parsing and hashing the Nuxt island endpoint body before hash validation
High Also affects nuxt
GHSA-9473-5f9j-94wq
Nuxt: Server-Side Remote Code Execution via Runtime Template Injection in Nuxt Server Island Props
High Also affects nuxt
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