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Vulnerabilities

CVE-2026-115878 | BDVDB-2026-399571 Detail

stanfordnlpstanza

Description#

Stanza is a Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages. From 1.14.0 until 1.15.0, loading an attacker-supplied lemmatizer checkpoint can execute arbitrary code because stanza/models/lemma/trainer.py stores pos_dict as gzip-compressed pickle bytes and Trainer.load passes the decompressed stream to unrestricted pickle.loads. The outer torch.load call uses weights_only=True, but the nested bytes are treated as a primitive and are not inspected by that allowlist. The path is reachable during pipeline construction through a caller-influenced lemma_model_path, before inference begins. This issue is fixed in version 1.15.0.

Impact#

Per CVSS v3.1: confidentiality impact high, integrity impact high, availability impact high. Attack vector: local.

Weaknesses#

  • CWE-94 Improper Control of Generation of Code ('Code Injection')
  • CWE-502 Deserialization of Untrusted Data

References#

Exploit#

No public exploit known

History#

  1. Version 1Record published in the CVE List.