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chore(deps): update dependency immutable@>=5.0.0 <5.1.5 to v5.1.8 [security]#2767

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chore(deps): update dependency immutable@>=5.0.0 <5.1.5 to v5.1.8 [security]#2767
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This PR contains the following updates:

Package Change Age Adoption Passing Confidence
immutable@>=5.0.0 <5.1.5 (source) [5.1.55.1.8](https://renovatebot.com/diffs/npm/immutable@>=5.0.0 <5.1.5/5.1.5/5.1.8) age adoption passing confidence

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

CVE-2026-59879 / GHSA-v56q-mh7h-f735

More information

Details

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.

Severity

  • CVSS Score: 8.7 / 10 (High)
  • Vector String: 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

References

This data is provided by OSV and the GitHub Advisory Database (CC-BY 4.0).


Immutabl: Hash-collision algorithmic complexity denial of service in Immutable.Map/Set

CVE-2026-59880 / GHSA-xvcm-6775-5m9r

More information

Details

Summary

Immutable.Map and Immutable.Set keep keys that share the same 32-bit hash in a collision bucket that is scanned linearly. The string hash is public and deterministic, so an attacker who controls the keys inserted into a Map can craft many keys that all collide, degrading insertion and lookup from amortized O(1) to O(n) per operation — and O(n²) to build or read the whole set. A small, attacker-shaped payload can therefore consume disproportionate CPU and, on a single-threaded runtime such as Node.js, stall the event loop and deny service.

Details

The string hash uses the JVM-style polynomial hashed = (31 * hashed + charCode) | 0. Strings such as "Aa" and "BB" hash to the same value (65*31+97 == 66*31+66 == 2112), and concatenating such blocks yields 2^n distinct strings sharing one hash (40 characters ⇒ >1,000,000 colliding keys).
All such keys route to a single HashCollisionNode, whose get/update walk the entire bucket testing is(). There is no per-process salt, so the colliding set is fully precomputable from the open-source algorithm.

Proof of concept

Inserting N colliding keys (e.g. via Immutable.Map(obj) / Immutable.fromJS(obj)) is O(N²). Measured on one machine, ~8,000 colliding
keys take ~0.7 s to build and ~0.6 s to read, scaling ×4 per doubling; ~16,000 keys exceed several seconds.

Impact

CPU-bound denial of service in applications that ingest attacker-controlled object keys into Immutable structures, e.g. Immutable.Map(req.body), Immutable.fromJS(req.body), state.merge(userObject) / mergeDeep(...). Applications that only store attacker input as values under fixed keys are not affected.

Affected versions

All versions through 5.1.7 (the deterministic string hash and linear collision bucket have existed since the 4.x line).

Patches

Fixed in 5.1.8 (adjust to the actual release): large collision buckets are indexed by a per-process seeded secondary hash, restoring near-linear behavior for the affected paths. The public hash() is unchanged (no breaking change), and is() remains the sole authority on key equality.

Workarounds

Before passing untrusted data to Immutable.js: cap request body size, limit object key count/length, and reject high-cardinality payloads; avoid building Maps directly from untrusted object keys.

References
  • CWE-407 (Inefficient Algorithmic Complexity), CWE-400 (Uncontrolled Resource Consumption)
  • OWASP API4:2023 (Unrestricted Resource Consumption)

Severity

  • CVSS Score: 8.7 / 10 (High)
  • Vector String: 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

References

This data is provided by OSV and the GitHub Advisory Database (CC-BY 4.0).


Release Notes

immutable-js/immutable-js (immutable@>=5.0.0 <5.1.5)

v5.1.8

Compare Source

v5.1.7

Compare Source

v5.1.6

Compare Source

  • fix(reverseFactory): read reversedSequence.size in __iterator instead of this #​2196

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