Few-Shot Learning for Security Bug Report Identification

Security bug reports require prompt identification to minimize the window of vulnerability in software systems. Traditional machine learning ML techniques for classifying bug reports to identify security bug reports rely heavily on large amounts of labeled data. However, datasets for security bug...

Enhancing GraphQL Security by Detecting Malicious Queries Using Large Language Models, Sentence Transformers, and Convolutional Neural Networks

GraphQL's flexibility, while beneficial for efficient data fetching, introduces unique security vulnerabilities that traditional API security mechanisms often fail to address. Malicious GraphQL queries can exploit the language's dynamic nature, leading to denial-of-service attacks, data...

agilisysdailytenders (>=1.0.0 <=1.0.3), aider-chat (=0.43.0) +75 more potentially affected by unknown CVE via sentence-transformers (>=3.0.0 <=3.0.1)

sentence-transformers PYPI version =3.0.0, =1.0.0, =3.0.0, =0.2.0, =0.7.114, =0.0.4, =0.3.1, =0.7.13, =0.0.1, =0.2.0, =0.0.2, =2.0.0, =0.2.11, =0.2.1, =0.2.1.dev3 and more Source cves: unknown CVE Source advisory: SNYK:PYTHON-SENTENCETRANSFORMERS-8161344...