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GHSA-c83g-rgw3-j3cx

HighCVSS 7.5 / 10
Published Sep 1, 2026·Last modified Sep 1, 2026
Affected Components(1)
npm logobrowserslist
< 4.28.7
Description

Vulnerability Details

File: index.js Location: cache (browserslist()'s result cache, line ~402) and parseCache (parseQueries()'s AST cache)

Root Cause

var cache = {}
var parseCache = {}

function browserslist(queries, opts) {
  ...
  var cacheKey = JSON.stringify([queries, context])
  if (cache[cacheKey]) return cache[cacheKey]
  ...
  if (!env.env.BROWSERSLIST_DISABLE_CACHE) { cache[cacheKey] = result }
  return result
}

function parseQueries(queries) {
  var cacheKey = JSON.stringify(queries)
  if (cacheKey in parseCache) return parseCache[cacheKey]
  var result = parseWithoutCache(QUERIES, queries)
  if (!env.env.BROWSERSLIST_DISABLE_CACHE) { parseCache[cacheKey] = result }
  ...
}

Every distinct (queries, context) pair is cached forever — no size cap, TTL, or eviction. browserslist.clearCaches() never resets either object (it only resets node.js's own filesystem caches); the only opt-out is the BROWSERSLIST_DISABLE_CACHE env var, controlled by the calling application, not an attacker.

Some short, valid queries amplify this badly. The since <year>-<month>-<day> query type (/^since (\d+)-(\d+)-(\d+)$/i) accepts any digit combination — Date.UTC() normalizes rather than rejects out-of-range values — giving an effectively unbounded space of ~17-byte distinct cache keys, each of which resolves to (and caches) a result close to the full ~8.5 KB browser list for any sufficiently old year.

Measured Impact

20,000 distinct since <year>-<month>-<day> queries (~330 KB total input, --expose-gc before/after measurement to rule out uncollected garbage) retained over 50 MB of heap permanently — roughly 150x amplification, growing linearly with no cap observed up to 40,000 queries (52.3 MB).

Attack Scenario

Any long-running process (server, daemon, warm CI worker) that calls browserslist() with a query value that varies across requests/items and is influenced, even partially, by external input accumulates one cache entry per distinct value ever seen. An attacker who can influence that value across many requests (this is a volumetric attack, unlike the single-request DoS findings from this same research pass) sends a stream of cheap, distinct queries (e.g. since 1900-01-01, since 1900-01-02, ...) until the process runs out of memory and crashes.

Recommended Fix (implemented and verified)

Replace both plain-object caches with Maps bounded to a fixed maximum entry count, evicting the oldest entry once the cap is reached (Map preserves insertion order, so .keys().next().value is always oldest):

var CACHE_MAX_ENTRIES = 500

function boundedCacheSet(map, key, value) {
  if (map.size >= CACHE_MAX_ENTRIES) {
    map.delete(map.keys().next().value)
  }
  map.set(key, value)
}

var cache = new Map()
var parseCache = new Map()

(read sites changed to .has()/.get(), write sites to boundedCacheSet())

Verification:

  • NODE_ENV=test npx uvu test .test.js → 301/301 pass unmodified (test/cache.test.js exercises clearCaches()/BROWSERSLIST_DISABLE_CACHE against node.js's separate filesystem caches, unaffected here); confirmed a repeated identical call still returns the cached reference.
  • Re-ran the memory PoC post-fix: heap stayed flat at ~4.9 MB after 5,000, 10,000, 20,000, and 40,000 distinct since-date queries (was 10.5 → 16.5 → 28.4 → 52.3 MB pre-fix).

Impact

  • Who is affected: Long-running processes calling browserslist() with query values that vary across requests/items and are influenced by external input.
  • What an attacker achieves: DoS via eventual out-of-memory crash, given sustained traffic over time (not a single small payload).
  • Conditions required: No authentication; requires volume rather than a single request, hence Medium rather than High severity.

Verification Environment

browserslist @ HEAD (== v4.28.6, current latest stable release) under local Node.js v20.19.5, run with --expose-gc for accurate heap measurement.

Note

Found during a broader review of this codebase in the same research pass that produced GHSA-rrmg-cfrq-23vv (parse.js algorithmic complexity), GHSA-g6p8-hj8g-x889 (baseline regexp ReDoS), GHSA-73wf-gq98-2v4g (normalizeStats crash/prototype write), and GHSA-h633-868p-5rfw (SCOPED_CONFIG__PATTERN ReDoS) — all single-request DoS vectors. This one is different in character (volumetric, not single-request) and is reported separately/scored lower accordingly.

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Risk Scores
Base Score
7.5

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a high impact on the availability of the system.

Threat Intelligence
6.9

Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.

EPSS
0.47%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

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