CodeSan
Financiado
Code Sanitization for Vulnerability Pruning and Exploitation Mitigation
Despite massive efforts in securing software, about 60 security bugs are publicly reported each month. Systems software is prone to low level bugs caused by undefined behavior (memory corruption, type confusion, or API confusion)....
Despite massive efforts in securing software, about 60 security bugs are publicly reported each month. Systems software is prone to low level bugs caused by undefined behavior (memory corruption, type confusion, or API confusion). Exploits abuse undefined behavior to execute attacker specified code, or to leak information. We propose code sanitization (CodeSan), a comprehensive approach to improve code quality. CodeSan will sanitize software by (i) automating bug discovery during development through software testing and (ii) protecting deployed software through reflective mitigations. CodeSan trades formal completeness for practical scalability in three steps: First, policy-based sanitization makes undefined behavior (through violations of memory safety, type safety, or API flow safety) explicit and detectable given concrete test inputs. Second, automatic test case generation increases testing coverage for large programs without the need for pre-existing test cases, enabling broader and automated use of policy-based sanitization. Third, for deployed software, reflective mitigations place runtime checks precisely where they are needed based on data-flow and control-flow coverage from our testing efforts. CodeSan complements formal approaches by protecting software that is currently out of reach due to its size, complexity, or low level nature.
CodeSan is a compelling, comprehensive, and adaptive approach to thoroughly address undefined behavior for complex software. The three proposed thrusts complement each other naturally and will immediately guard large software systems such as Google Chromium, Mozilla Firefox, the Android system, or the Linux kernel, making them resilient against attacks.
In line with PI Payer’s track record on open sourcing his group’s research artifacts on cast sanitization, transformative fuzzing, or control-flow hijacking mitigations, all prototypes produced during CodeSan will be released as open-source.
ver más
Duración del proyecto: 65 meses
Fecha Inicio: 2019-09-23
Fecha Fin: 2025-02-28
Fecha Fin: 2025-02-28
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2019-09-23
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2019-STG:
ERC Starting Grant
Cerrada
hace 6 años
Presupuesto
El presupuesto total del proyecto asciende a
1M€
Líder del proyecto
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
733.73K€ |
Participante