Stanza is a Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages. Prior to 1.12.2, Stanza model loaders such as stanza.models.common.pretrain.Pretrain.load() attempt torch.load(..., weights_only=True) but fall back to torch.load(..., weights_only=False) on attacker-controllable pickle.UnpicklingError, allowing a malicious .pt pretrain or model file to execute arbitrary pickle code when a Stanza NLP pipeline loads it. This issue is fixed in version 1.12.2.
stanford-parser v3.9.2 and below was discovered to contain a code injection vulnerability in the component edu.stanford.nlp.io.getBZip2PipedInputStream. This vulnerability is exploited via passing an unchecked argument.
weblogin/login.fcgi (aka the WebLogin login script) in Stanford University WebAuth 3.5.5, 3.6.0, and 3.6.1 places passwords in URLs in certain circumstances involving conversion of a POST request to a GET request, which allows context-dependent attackers to discover passwords by reading (1) web-server access logs, (2) web-server Referer logs, or (3) the browser history.