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Immutable.js `List` 32-bit trie overflow → unrecoverable DoS

High severity GitHub Reviewed Published Jun 25, 2026 in immutable-js/immutable-js • Updated Sep 16, 2026

Package

npm immutable (npm)

Affected versions

>= 5.0.0-beta.1, < 5.1.8
>= 4.0.0-rc.1, < 4.3.9
< 3.8.4

Patched versions

5.1.8
4.3.9
3.8.4

Description

Summary

List#set, List#setSize, List#setIn, List#updateIn (and the functional set / setIn / updateIn) mishandle an index or size in the range [2 ** 30, 2 ** 31):

  • On an empty List the operation enters an uncatchable infinite loop (a tight CPU spin; a surrounding try/catch never regains control). Only killing the worker recovers it.
  • On a populated List (≥ 32 elements — i.e. any array of ≥ 32 items turned into a List by fromJS) the loop allocates without bound → heap exhaustion → the process aborts (SIGABRT, exit 134, or kernel OOM-kill 137). A real crash, not a recoverable error.

The index may be a numeric string, so it can come straight from a request body, URL, or key-path. A single small unauthenticated request is enough.

There is also a companion silent data-corruption issue in setSize:

List([1, 2, 3]).setSize(2 ** 31); // before fix => size 0  (silently cleared)
List([1, 2, 3]).setSize(2 ** 32 + 5); // before fix => size 5  (huge value wraps to 5)

Impact

Availability only. A reachable configuration is any endpoint that routes untrusted input into a List index or a setIn/updateIn key-path — which the extremely common state = fromJS(body); state.setIn(userPath, value) pattern does (config stores, document/collection editors, redux-immutable reducers, JSON-Patch endpoints, etc.).

No confidentiality or integrity impact, no RCE. The companion setSize bug can silently corrupt application state (wrong size) without crashing.

Reproduction (immutable 5.1.7)

import { fromJS, List } from 'immutable';

// 1) Populated List: OOM -> process abort (SIGABRT, exit 134) within ~2s
fromJS({ items: new Array(64).fill(0) }).setIn(['items', '1073741824'], 'x');

// 2) Empty List: hangs forever, uncatchable
List().set(2 ** 30, 'x');

// 3) Silent truncation
List([1, 2, 3]).setSize(2 ** 31); // => size 0
List([1, 2, 3]).setSize(2 ** 32 + 5); // => size 5

A remote 43-byte HTTP request ({"path":["items","1073741824"],"value":"x"}) is sufficient to abort a worker that applies it via state = state.setIn(path, value).

Any index in [2 ** 30, 2 ** 31) works (1073741824, 2000000000, …). An index in [2 ** 31, 2 ** 32) does not crash — it silently wraps (clearing the List) via the same root cause.

Root cause

List stores its values in a 32-wide trie (SHIFT = 5, so each level addresses 5 more bits) and uses signed 32-bit bitwise arithmetic throughout setListBounds() (src/List.js):

  1. Infinite loop (the hang / OOM). The level-raising loop
while (newTailOffset >= 1 << (newLevel + SHIFT)) {
  newRoot = new VNode(
    newRoot && newRoot.array.length ? [newRoot] : [],
    owner
  );
  newLevel += SHIFT;
}

relies on 1 << (newLevel + SHIFT). A JavaScript shift count is taken mod 32, so once newLevel + SHIFT reaches 31 the term goes negative (1 << 31 === -2147483648) and at 32 wraps to 1 (1 << 35 === 8). The comparison then stays true forever and the loop never terminates. On a populated List, each iteration retains a new VNode ([newRoot]), so the heap fills and V8 aborts; on an empty List it spins on CPU without allocating.

  1. Silent wraparound (the setSize corruption). The begin |= 0 / end |= 0 coercion (ToInt32) silently wraps large finite values ((2 ** 31) | 0 === -2147483648, (2 ** 32 + 5) | 0 === 5), producing a wrong resulting size instead of an error.

The threshold is 2 ** 30: that is the largest size for which 1 << (newLevel + SHIFT) stays a valid positive 32-bit integer throughout the loops (newLevel + SHIFT stays ≤ 30).

Remediation

The fix is contained to setListBounds() in src/List.js:

  1. Validate up front, before the lossy | 0 coercion. Compute the intended origin and capacity in full precision and throw a clear, catchable RangeError when they exceed the addressable range (MAX_LIST_SIZE = 2 ** 30). Infinity/NaN are left to the existing | 0 → 0 behaviour (so setSize(Infinity) stays 0 and slice(0, Infinity) still means "to the end").

  2. Stop the shift from wrapping. Replace 1 << exp in the level-raising loops with a helper that uses the cheap bitwise shift while it is exact (exp ≤ 30, the common path including every push/setSize/slice) and falls back to the non-wrapping 2 ** exp only for the rare deep trees reached when a negative origin (unshift / negative index) is normalized to a large positive capacity (exp can reach 35 there, where 1 << 35 would wrap to 8).

This turns every hang, the misleading "Maximum call stack size exceeded", the OOM/SIGABRT, and the silent setSize truncation into one descriptive RangeError, preserves all behaviour for sizes < 2 ** 30, and keeps the hot push path on the fast bitwise shift (the 2 ** exp branch is never reached by non-negative operations).

Is the new limit a breaking change?

No working code is affected. A List could never actually hold ≥ 2 ** 30 values before — the attempt hung, crashed, or silently corrupted the size. The limit was already implicit in the 32-bit trie; the fix only makes it explicit and catchable, mirroring native JS arrays (new Array(2 ** 32) → RangeError: Invalid array length). The single observable behaviour change is that setSize(hugeValue), which used to return a silently wrong size, now throws. 2 ** 30 ≈ 1.07 billion entries (~8 GB of pointers alone), far beyond any practical use.

Mitigations (for users who cannot upgrade immediately)

  • Validate/clamp any externally supplied List index or setIn/updateIn key-path segment against a sane maximum before passing it to immutable.
  • Reject numeric path segments ≥ 2 ** 30.
  • Run request handling in a worker that can be restarted, and cap the heap (--max-old-space-size) so an abort is contained.

References

@jdeniau jdeniau published to immutable-js/immutable-js Jun 25, 2026
Published by the National Vulnerability Database Jul 8, 2026
Published to the GitHub Advisory Database Jul 21, 2026
Reviewed Jul 21, 2026
Last updated Sep 16, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability High
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(50th percentile)

Weaknesses

Integer Overflow or Wraparound

The product performs a calculation that can produce an integer overflow or wraparound when the logic assumes that the resulting value will always be larger than the original value. This occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may become a very small or negative number. Learn more on MITRE.

Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource. Learn more on MITRE.

Loop with Unreachable Exit Condition ('Infinite Loop')

The product contains an iteration or loop with an exit condition that cannot be reached, i.e., an infinite loop. Learn more on MITRE.

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. Learn more on MITRE.

CVE ID

CVE-2026-59879

GHSA ID

GHSA-v56q-mh7h-f735

Credits

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