CVE-2026-59928: Mistune block_parser Quadratic-time Parsing On Long Lists Vulnerability
HIGHCVE-2026-59928 is a HIGH (CVSS 7.5) quadratic-time parsing on long lists vulnerability (CWE-1333: Inefficient Regular Expression Complexity) affecting Mistune block_parser libraries in the PyPI ecosystem. The issue involves quadratic-time parsing on long lists of repeated reference-link definitions. Remediation is available by upgrading affected packages to version 3.3.0.
CVE-2026-59928 at a Glance
Security Impact
CVSS: 7.5
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).
How to Fix CVE-2026-59928
To remediate this vulnerability, upgrade all affected Mistune block_parser dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install mistune>=3.3.0
Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show mistune
How to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2026-59928, inspect your installed packages using pip:
pip show mistune
Analyze the terminal output to locate any version of Mistune block_parser in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 3.3.0), your application is affected.
Note: The pip show mistune command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-1333: Inefficient Regular Expression Complexity, where the product uses a regular expression with a worst-case computational complexity that is inefficient and possibly exponential. In Mistune block_parser, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2026-59928 Affected Mistune block_parser Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
mistune
|
PyPI |
< 3.3.0
|
3.3.0
|
References
Frequently Asked Questions
What is CVE-2026-59928?
Which Mistune block_parser versions are affected?
What version fixes CVE-2026-59928?
Is mistune affected?
What is the CVSS score of CVE-2026-59928?
What CWE is associated with CVE-2026-59928?
How can I check PyPI dependencies for CVE-2026-59928?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-ffq3-xpv3-j92q",
"modified" : "2026-07-20T21:24:18Z",
"published" : "2026-07-20T21:24:18Z",
"aliases" : [ "CVE-2026-59928" ],
"summary" : "Mistune block_parser: quadratic-time parsing on long lists of repeated reference-link definitions",
"details" : "## Summary\n\n**Type:** Algorithmic-complexity DoS in reference-link definition handling. A markdown document with N reference-link definitions of the same key (or many distinct keys) takes O(N²) parser time. 5000 repeated `[a]: u\\n` definitions take ~1.1 second; 10000 → ~4.5 seconds.\n**File:** `src/mistune/block_parser.py` (reference-link def parsing) and the surrounding `ref_links` env-dictionary handling.\n**Root cause:** every reference definition is parsed by scanning forward from each candidate position. The `unikey` normalisation runs per-def, the dictionary insert is per-def, and the lookup-by-label-then-iterate-defs path is linear in the number of stored defs. For input with N defs, the total work is O(N²).\n\n## Affected Code\n\n`src/mistune/block_parser.py` — reference-definition rule fires on every line that matches `[label]: url`. For each one:\n- `unikey(label)` is called (linear scan of the label).\n- The def is appended to `state.env['ref_links']`.\n- Later inline-link resolution looks up by `unikey(label)` in the dict (O(1)) but the surrounding parser revisits the def list for paragraph-vs-def disambiguation.\n\nThe cumulative parse time grows as the square of the number of defs.\n\n**Why it's wrong:** the parser does not amortise the def-list scan. A single forward pass with a hash-keyed dict (already in place) plus a per-line classifier should make this O(N).\n\n## Exploit Chain\n\n1. Application uses mistune to render attacker-supplied markdown. No plugins required.\n2. Attacker submits a 35 KB document of `[a]: u\\n` repeated 5000 times followed by `[click][a]`.\n3. CPU pegs for ~1.1 seconds. 10000 defs → ~4.5 s. 20000 → ~18 s. Doubling input quadruples time.\n\n## Security Impact\n\n**Attacker capability:** small input → large CPU. Predictable scaling. Can be repeated.\n**Preconditions:** application uses `mistune.create_markdown()` (default config) on attacker-supplied markdown. Worth noting: the `ref_links` dictionary persists for the lifetime of the parse, so a long document with many defs builds up memory; with N defs of attacker-chosen length, the per-def normalisation cost compounds.\n**Differential:** PoC-verified against mistune@3.2.1, default config:\n\n```python\nimport mistune, time\nmd = mistune.create_markdown()\nfor n in [1000, 2000, 5000, 10000]:\n s = '[a]: u\\n' * n + '[click][a]'\n t = time.time()\n md(s)\n print(f' ref defs * {n} ({len(s)}b): {(time.time() - t) * 1000:.0f}ms')\n\n# Output (Python 3.13, Linux, 2.5GHz CPU):\n# ref defs * 1000 ( 7012b): 46ms\n# ref defs * 2000 (14012b): 186ms\n# ref defs * 5000 (35012b): 1121ms\n# ref defs * 10000 (70012b): 4400ms\n```\n\nThe patched build (with the surrounding parser amortised to O(N)) keeps the time linear.\n\n## Suggested Fix\n\nReplace the per-def re-scan with a single forward pass that classifies each line into `ref_def | paragraph | other` once and only inserts into `ref_links` once per def. The dict already exists; the wasted work is in the surrounding scan loop, not in the dict operations.\n\nA regression test asserting that `md('[a]: u\\n' * 50_000 + '[click][a]')` completes in under 1 second would catch any regression.",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "mistune"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "3.3.0"
} ]
} ]
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/lepture/mistune/security/advisories/GHSA-ffq3-xpv3-j92q"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-59928"
}, {
"type" : "WEB",
"url" : "https://github.com/lepture/mistune/commit/2b04d7ba341c16ac78fe82d3076bdd5c3de87c69"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/lepture/mistune"
}, {
"type" : "WEB",
"url" : "https://github.com/lepture/mistune/releases/tag/v3.3.0"
}, {
"type" : "WEB",
"url" : "https://github.com/pypa/advisory-database/tree/main/vulns/mistune/PYSEC-2026-2216.yaml"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-1333", "CWE-407" ],
"severity" : "HIGH",
"github_reviewed" : true,
"github_reviewed_at" : "2026-07-20T21:24:18Z",
"nvd_published_at" : "2026-07-08T17:17:28Z"
}
}