CVE-2026-63386: js-toml is a TOML parser for JavaScript. Prior to 1.1.3, load() does not bound nesting or dotted-key depth in the recursive parser at src/load/parser.ts or the interpreter at src/load/interpreter.ts, so deeply nested arr
What it means
NIST National Vulnerability Database ha pubblicato CVE-2026-63386. La rilevanza va confermata rispetto alle tecnologie effettivamente in uso.
Why it matters
Il segnale diventa operativo solo se prodotto, versione o servizio sono presenti nel perimetro.
Recommended actions
- Confermare l'applicabilita consultando la fonte ufficiale e l'inventario asset.
- Pianificare mitigazione o aggiornamento secondo criticita e rischio di interruzione.
Translation in progress
The official content is available in the original language. The Italian version will be published once automated checks are complete.
Text acquired from the source
js-toml is a TOML parser for JavaScript. Prior to 1.1.3, load() does not bound nesting or dotted-key depth in the recursive parser at src/load/parser.ts or the interpreter at src/load/interpreter.ts, so deeply nested arrays, deeply nested inline tables, or long dotted keys can exhaust the V8 call stack and throw a raw RangeError instead of the documented SyntaxParseError. Applications that parse attacker-controlled TOML and handle only SyntaxParseError can rethrow the unexpected exception, which can terminate a worker or process and cause denial of service. The exception is synchronous and catchable by consumers that handle all exceptions, and the issue does not affect confidentiality or integrity. This issue is fixed in version 1.1.3.
- Source
- NIST National Vulnerability Database
- Publishing entity
- NIST National Vulnerability Database
- Entity type
- National authority
- Area
- North America · US
- Original language
- en · translation in preparation
- Publication
- 22/09/2026 21:16
- CVE
- CVE-2026-63386
- Classification
- Medium
- Stated country
- US
Affected products and versions
The official sources queried do not yet expose a list of affected versions. No automatic inference is made.