CVE-2026-73089
ADVISORY - githubSummary
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.jsexercisesclearCaches()/BROWSERSLIST_DISABLE_CACHEagainstnode.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.
Common Weakness Enumeration (CWE)
Allocation of Resources Without Limits or Throttling
Allocation of Resources Without Limits or Throttling
GitHub
3.9
CVSS SCORE
7.5high| Package | Type | OS Name | OS Version | Affected Ranges | Fix Versions |
|---|---|---|---|---|---|
| browserslist | npm | - | - | <=4.28.6 | 4.28.7 |
CVSS:3 Severity and metrics
The CVSS metrics represent different qualitative aspects of a vulnerability that impact the overall score, as defined by the CVSS Specification.
The vulnerable component is bound to the network stack, but the attack is limited at the protocol level to a logically adjacent topology. This can mean an attack must be launched from the same shared physical (e.g., Bluetooth or IEEE 802.11) or logical (e.g., local IP subnet) network, or from within a secure or otherwise limited administrative domain (e.g., MPLS, secure VPN to an administrative network zone). One example of an Adjacent attack would be an ARP (IPv4) or neighbor discovery (IPv6) flood leading to a denial of service on the local LAN segment (e.g., CVE-2013-6014).
Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success when attacking the vulnerable component.
The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.
The vulnerable system can be exploited without interaction from any user.
An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
There is no loss of confidentiality.
There is no loss of trust or accuracy within the impacted component.
There is a total loss of availability, resulting in the attacker being able to fully deny access to resources in the impacted component; this loss is either sustained (while the attacker continues to deliver the attack) or persistent (the condition persists even after the attack has completed). Alternatively, the attacker has the ability to deny some availability, but the loss of availability presents a direct, serious consequence to the impacted component.
NIST
3.9
CVSS SCORE
7.5highDebian
-
Ubuntu
-