Vulnerability Database

353,823

Total vulnerabilities in the database

Natural Language Toolkit (NLTK) has unbounded recursion in JSONTaggedDecoder.decode_obj() may cause DoS — nltk

Uncontrolled Recursion

Summary

JSONTaggedDecoder.decode_obj() in nltk/jsontags.py calls itself recursively without any depth limit. A deeply nested JSON structure exceeding sys.getrecursionlimit() (default: 1000) will raise an unhandled RecursionError, crashing the Python process.

Affected code

File: nltk/jsontags.py, lines 47–52

@classmethod def decode_obj(cls, obj): if isinstance(obj, dict): obj = {key: cls.decode_obj(val) for (key, val) in obj.items()} elif isinstance(obj, list): obj = list(cls.decode_obj(val) for val in obj)

Proof of Concept

import sys, json from nltk.jsontags import JSONTaggedDecoder depth = sys.getrecursionlimit() + 50 # e.g. 1050 payload = '{"x":' * depth + "null" + "}" * depth # Raises RecursionError, crashing the process json.loads(payload, cls=JSONTaggedDecoder)

Impact

Any code path that passes externally-supplied JSON to JSONTaggedDecoder is vulnerable to denial of service. The severity depends on whether such a path exists in the calling code (e.g. nltk/data.py).

Suggested Fix

Add a depth parameter with a hard limit:

@classmethod def decode_obj(cls, obj, _depth=0): if _depth > 100: raise ValueError("JSON nesting too deep") if isinstance(obj, dict): obj = {key: cls.decode_obj(val, _depth + 1) for (key, val) in obj.items()} elif isinstance(obj, list): obj = list(cls.decode_obj(val, _depth + 1) for val in obj)
  • Published: Mar 18, 2026
  • Updated: Mar 19, 2026
  • GHSA: GHSA-rf74-v2fm-23pw
  • Severity: Medium
  • Exploit:
  • CISA KEV:

No technical information available.

CWEs:

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CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

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Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

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