toml-node: Quadratic-complexity DoS via many array-of-tables headers in toml.parse() (CVE-2026-114141)
Published Last modified Sources: CVE.org, Hersteller
What is affected, what to do
Update BinaryMuse Toml-node to version 5.0.1.
- Affected
- BinaryMuse Toml-node
lt *..5.0.1
- BinaryMuse Toml-node
- Fixed in
- BinaryMuse Toml-node
5.0.1
- BinaryMuse Toml-node
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Metrics
8.7
Priority
XIEM Effective CVSS: highest available CVSS rating from NVD and vendor data.
Source: Vendor (CNA), CVSS v4
8.7
CVSS v4
Severity High on the scale from 0 to 10.
Source: CVE.org, Hersteller
—
EPSS score
No value is available for this vulnerability.
Show all metrics
- Severity
- High
Priority (0–325)
The priority score is a consolidated metric that condenses several individual signals into a single, action-guiding ranking: technical severity (CVSS), exploitation likelihood (EPSS), known-exploited status (KEV) and the context of the affected asset. The aim is to answer the only truly important question in vulnerability management: what first?
Read in glossary- 73.50 Methodology
Exploit maturity
An exploit is code or a technique that specifically uses a concrete vulnerability to force unintended behaviour — such as executing code or escalating privileges. It is the tool that turns a theoretical flaw into a practical attack.
Read in glossary- no public PoC known
XIEM Effective CVSS
XIEM® is the tiered managed-security operating model from NEOSEC and a registered trademark of NEOSEC GmbH. It extends classic SIEM — the central collection, normalisation and correlation of security-relevant events — with endpoint forensics, network visibility and deception technology, and consolidates them into three building tiers: Sentry, Orchestrate and Command.
Read in glossary- 8.7 Methodology
CVSS v4
CVSS is the globally established, open standard for assessing the technical severity of a vulnerability on a scale from 0 to 10. It describes how easily a flaw can be exploited and what damage it can cause — but not how likely its actual exploitation is. CVSS and the complementary EPSS deliberately answer different questions.
Read in glossary- 8.7
KEV status
The KEV catalogue is a list maintained by the US authority CISA of vulnerabilities for which active exploitation in the wild has been confirmed. It answers not the question „how severe?“ but „is it already being attacked?“ — thereby sharply prioritising patching.
Read in glossary- —
- Published
CWE
CWE is a catalogue of typical weakness types in software and hardware — such as flawed input validation, unsafe memory handling or poor authentication. Where a CVE names a concrete vulnerability in a concrete product, a CWE describes the underlying class of defect.
Read in glossary- CWE-407
Detection rules
No NEOSEC detection rule is available for this vulnerability yet.
Classification under NIS2 and CRA
Rule-based classification from exploitation status and severity. It does not replace a case-by-case assessment.
NIS2
NIS2 is EU Directive (EU) 2022/2555 to raise the level of cybersecurity across the Union. It substantially broadens obligations compared with the first NIS directive: more sectors, mandatory risk management, staged reporting duties and personal accountability of senior management.
Read in glossary- High technical severity: assess and remediate the vulnerability in vulnerability handling under Art. 21(2)(e) NIS2 and document the decision.
CRA
The CRA is EU Regulation (EU) 2024/2847 setting horizontal cybersecurity requirements for „products with digital elements“ — from industrial controllers and software to connected consumer devices. For the first time manufacturers must ensure security across the entire product lifecycle, handle vulnerabilities and provide security updates.
Read in glossary- From 11.12.2027, Annex I Part II CRA requires manufacturers of affected products with digital elements to handle vulnerabilities without delay and provide security updates.
ISO/IEC 27001
ISO/IEC 27001 is the internationally leading standard for an information security management system (ISMS). It describes a risk-based, process-oriented framework to systematically plan, implement, review and improve information security.
Read in glossary- Control A.8.8, management of technical vulnerabilities: assess relevance to your systems, plan remediation and keep evidence.
Description
Summary
toml.parse() is vulnerable to a quadratic-complexity (O(n²)) denial-of-service via many
array-of-tables ([[name]]) headers. addTableArray() in lib/compiler.js rescans two
entire bookkeeping Sets on every [[name]] header without pruning unrelated or distinct
entries, so a document containing n such headers costs O(n²) compiler work. A ~321KB document
of 20,000 distinct-named [[name]] blocks takes ~10.3 seconds to parse — a completely
ordinary-looking TOML shape (a flat settings block plus one or more array-of-tables sections),
not a contrived edge case. This is a separate, unpatched code path from the previously fixed
stack-overflow DoS (GHSA-82x6-q7mm-w9cf) and requires no key nesting or dotted keys at all.
Affected component / version
- Package:
toml(npm), repositoryBinaryMuse/toml-node - Function:
addTableArray()inlib/compiler.js - Confirmed present in the audited checkout at commit
1b2ac40(2026-07-16), one commit past thev5.0.0tag (a changelog-only change) — i.e. present inv5.0.0, the latest release. Not exhaustively verified against every prior release, but the affected function is unrelated tov5.0.0's BigInt/Temporal changes (perCHANGELOG.md), so the defect likely predates that release as well.
Details
toml.parse(input, options) (index.js:5-9) forwards the caller-supplied string to
parser.parse() and then compiler.compile() with no length or structural validation. Every
[[name]] (array-of-tables) header is routed (reduce(), lib/compiler.js:43) to
addTableArray() (lib/compiler.js:218-245), which performs two full linear scans on every
call:
assignedPaths.forEach(function(p) {
if (isSameOrSubPath(p, quotedPath)) assignedPaths.delete(p);
});
valueAssignments.forEach(function(p) {
if (isSameOrSubPath(p, quotedPath)) valueAssignments.delete(p);
});
(lib/compiler.js:228-233)
assignedPaths and valueAssignments accumulate one entry per top-level key/table/array path
ever assigned in the entire document. Each scan prunes only entries matching the currently
reopened path via isSameOrSubPath() (lib/compiler.js:319-321: path === prefix || path.indexOf(prefix + ".") === 0); anything else — an unrelated top-level key, or simply a
different array-of-tables name — is never removed and is rescanned in full on every
subsequent [[name]] header for the rest of the parse. Set.prototype.forEach has no early
exit, so this is unconditionally O(current Set size) on every call, giving O(n²) total work
for n such headers.
Proof of Concept
The sharpest reproduction needs no unrelated keys at all — just N array-of-tables headers with N distinct names, since nothing is ever pruned when no name repeats:
const toml = require('toml');
function distinctArrayHeaders(n) {
let out = '';
for (let i = 0; i < n; i++) out += `[[a${i}]]\nv = 1\n`;
return out;
}
// ~321 KB input -- takes ~10.3 seconds
toml.parse(distinctArrayHeaders(20000));
Measured timings (Node, direct execution against this repo):
| Variant | n | input size | time |
|---|---|---|---|
N distinct-named [[name]] headers, no unrelated keys | 20,000 | 321 KB | 10.3 s |
| Same N with all-same-name headers (self-pruning, control) | 20,000 | 240 KB | 78 ms |
M unrelated top-level keys + N same-name [[name]] headers | M=N=32,000 | 906 KB | 42.3 s |
The ~130x gap between the distinct-name and same-name cases at identical N and comparable input size isolates the mechanism precisely: the bug is unbounded Set growth from never-pruned entries, not string length or any other confound. A product-law check (varying M and N independently in the mixed variant) further confirmed genuine O(M·N) complexity.
Impact
Node.js is single-threaded — this synchronous, multi-second-to-tens-of-seconds compile blocks
the entire process event loop, standard uncontested Node.js behavior. The triggering document
shape — flat top-level config keys plus one or more array-of-tables sections (e.g. a [db]
settings block plus a [[servers]] list) — is unremarkable, common real-world TOML, not an
edge case. No authentication or special access is required; only the ability to get one TOML
string parsed by an application using this library.
Suggested remediation
Avoid scanning the entire assignedPaths/valueAssignments Sets on every [[name]] header.
Index entries by their top-level path segment (e.g. a Map<string, Set<string>> keyed by the
first key component) so addTableArray() only ever scans the bucket relevant to the path
being reopened, in time proportional to that bucket's size rather than the whole document's
accumulated path count:
var assignedByRoot = new Map(); // root segment -> Set<fullPath>
function addTableArray(node) {
var path = node.value;
var root = path[0];
var bucket = assignedByRoot.get(root) || new Set();
bucket.forEach(function(p) {
if (isSameOrSubPath(p, quotedPath)) bucket.delete(p);
});
// ...rest of addTableArray unchanged, reading/writing the per-root bucket
// instead of the global assignedPaths/valueAssignments Sets
}
As with the sibling finding, an input-size or table-count limit would also help as defense-in-depth.
Credit
Discovered and reported by SecDim Security Research secdim.com | @secdim | security@secdim.com
Source: NVD (NIST), cvelistv5, GitHub Security Advisories
Affected products
The following versions are affected. Older releases of the same product line are also vulnerable unless stated otherwise.
| Vendor | Product | Affected versions | Fixed in |
|---|---|---|---|
| BinaryMuse | toml-node |
|
|
| npm | toml |
|
|
Weakness classes (CWE)
CWE-407Inefficient Algorithmic Complexity
Class
An algorithm in a product has an inefficient worst-case computational complexity that may be detrimental to system performance and can be triggered by an attacker, typically using crafted manipulations that ensure that the worst case is being reached.
Entry at MITRE CWE-407
References & sources
- github.comBinaryMuse/toml-node/security/advisories/GHSA-4qx8-w7c3-pj3px_refsource_CONFIRM
- github.comBinaryMuse/toml-node/commit/609c873fffea0a27ebe5b4dd098eed2b3da…x_refsource_MISC
- github.comBinaryMuse/toml-node/releases/tag/v5.0.1x_refsource_MISC
Reanalysis & status changes
Chronological NVD audit events for this CVE — reanalyses, CVSS updates, CPE diffs.
New CVE Receivedsecurity-advisories@github.com
- Description: after toml-node is a TOML parser for Node.js and the browser. Prior to 5.0.1, the toml.parse() compiler's addTableArray() function in lib/compiler.js rescans the complete assignedPaths and valueAssignments bookkeeping sets for every array-of-tables header. Distinct [[name]] paths are not pruned, so a document with many such headers causes quadratic synchronous work and can block the Node.js event loop, denying service to other operations in the process. This issue is fixed in version 5.0.1.
- CVSS V4.0: after AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
- CWE: after CWE-407
- Affected: after New affected value received. <a href="https://github.com/CVEProject/cvelistV5/blob/main/cves/2026/114xxx/CVE-2026-114141.json">CVE-2026-114141</a>
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