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PAWJAM

Financiado

Vulnerability Exposure Analysis for JavaScript

The JavaScript programming language together with the Node.js framework constitute the foundation of modern web-based software. An essential part of this platform is the npm registry that contains millions of freely available thir... ver más

31/12/2024

150K€

Presupuesto del proyecto: 150K€

Líder del proyecto

AARHUS UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 1 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-02-28

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

ERC-2022-POC2: ERC PROOF OF CONCEPT GRANTS2

I+D

Cerrada hace 2 años

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1 Participantes

150.00K€ | Lider

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Últimas noticias

25-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 52 concesiones

25-11-2024: CMVAMADRID En las últimas 48 horas el Organismo CMVAMADRID ha otorgado 1 concesiones

25-11-2024: FUNDACION-EOI En las últimas 48 horas el Organismo FUNDACION EOI ha otorgado 6 concesiones

Duración del proyecto: 22 meses Fecha Inicio: 2023-02-28
Fecha Fin: 2024-12-31

Líder del proyecto

AARHUS UNIVERSITET

TRL 4-5

Presupuesto del proyecto 150K€

Descripción del proyecto The JavaScript programming language together with the Node.js framework constitute the foundation of modern web-based software. An essential part of this platform is the npm registry that contains millions of freely available third-party software libraries that provide common functionality. This massive reuse of libraries is essential to the productivity of software developers, however, the dependence on other people's libraries opens the door to security vulnerabilities that may have severe consequences to the applications and end users. When new vulnerabilities are discovered, it is thus crucial that the programmers are informed. Existing tools only tell whether a program depends on libraries with vulnerabilities, but without precise information about how the vulnerable library code is being used, which causes an overwhelming amount of false positives and makes it extremely difficult for the programmers to investigate the possible consequences of the vulnerabilities. The ERC project PAW has delivered a range of novel program analysis techniques, most notably one that has the potential to alleviate this problem: The analysis tool JAM is capable of automatically analyzing a given JavaScript program and tell exactly which parts of the libraries are being used and where they are used, thereby enabling the programmers to make fast and correct decisions about how their programs are exposed to vulnerabilities and how to update their programs accordingly to prevent security incidents. The proposed project, PAWJAM, aims to explore the commercial and innovative aspects of this program analysis tool, by further developing the prototype implementation into a commercial product, performing more extensive evaluations of its effectiveness, and engaging with potential users and industry partners.

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