{"resultsPerPage":1,"startIndex":0,"totalResults":1,"format":"NVD_CVE","version":"2.0","timestamp":"2026-05-09T19:39:50.229","vulnerabilities":[{"cve":{"id":"CVE-2020-26230","sourceIdentifier":"security-advisories@github.com","published":"2020-11-13T19:15:12.000","lastModified":"2024-11-21T05:19:35.983","vulnStatus":"Modified","cveTags":[],"descriptions":[{"lang":"en","value":"Radar COVID is the official COVID-19 exposure notification app for Spain. In affected versions of Radar COVID, identification and de-anonymization of COVID-19 positive users that upload Radar COVID TEKs to the Radar COVID server is possible. This vulnerability enables the identification and de-anonymization of COVID-19 positive users when using Radar COVID. The vulnerability is caused by the fact that Radar COVID connections to the server (uploading of TEKs to the backend) are only made by COVID-19 positives. Therefore, any on-path observer with the ability to monitor traffic between the app and the server can identify which users had a positive test. Such an adversary can be the mobile network operator (MNO) if the connection is done through a mobile network, the Internet Service Provider (ISP) if the connection is done through the Internet (e.g., a home network), a VPN provider used by the user, the local network operator in the case of enterprise networks, or any eavesdropper with access to the same network (WiFi or Ethernet) as the user as could be the case of public WiFi hotspots deployed at shopping centers, airports, hotels, and coffee shops. The attacker may also de-anonymize the user. For this additional stage to succeed, the adversary needs to correlate Radar COVID traffic to other identifiable information from the victim. This could be achieved by associating the connection to a contract with the name of the victim or by associating Radar COVID traffic to other user-generated flows containing identifiers in the clear (e.g., HTTP cookies or other mobile flows sending unique identifiers like the IMEI or the AAID without encryption). The former can be executed, for instance, by the Internet Service Provider or the MNO. The latter can be executed by any on-path adversary, such as the network provider or even the cloud provider that hosts more than one service accessed by the victim. The farther the adversary is either from the victim (the client) or the end-point (the server), the less likely it may be that the adversary has access to re-identification information. The vulnerability has been mitigated with the injection of dummy traffic from the application to the backend. Dummy traffic is generated by all users independently of whether they are COVID-19 positive or not. The issue was fixed in iOS in version 1.0.8 (uniform distribution), 1.1.0 (exponential distribution), Android in version 1.0.7 (uniform distribution), 1.1.0 (exponential distribution), Backend in version 1.1.2-RELEASE. For more information see the referenced GitHub Security Advisory."},{"lang":"es","value":"Radar COVID es la aplicación oficial de notificación de exposición COVID-19 para España. En las versiones afectadas de Radar COVID, es posible la identificación y desanonimización de los usuarios positivos de COVID-19 que cargan Radar COVID TEK en el servidor de Radar COVID. Esta vulnerabilidad permite la identificación y desanonimización de los usuarios positivos de COVID-19 cuando se usa Radar COVID. La vulnerabilidad es causada mediante el hecho de que las conexiones de COVID de radar al servidor (cargando desde TEK hacia el backend) solo las realizan los positivos de COVID-19. Por lo tanto, cualquier observador sobre la ruta con la capacidad de monitorear el tráfico entre la aplicación y el servidor puede identificar qué usuarios tuvieron una prueba positiva. Tal adversario puede ser el operador de red móvil (MNO) si la conexión se realiza por medio de una red móvil, el Proveedor de Servicios de Internet (ISP) si la conexión se realiza por medio de Internet (por ejemplo, una red doméstica), un proveedor de VPN usado por el usuario, el operador de red local en el caso de redes empresariales, o cualquier espía con acceso a la misma red (WiFi o Ethernet) que el usuario como podría ser el caso de puntos de acceso WiFi públicos desplegados en centros comerciales, aeropuertos, hoteles y cafeterías. El atacante también puede anonimizar al usuario. Para que esta etapa adicional tenga éxito, el adversario necesita correlacionar el tráfico de Radar COVID con otra información identificable de la víctima. Esto podría ser logrado asociando la conexión a un contrato con el nombre de la víctima o al asociar el tráfico de Radar COVID a otros flujos generados por el usuario que contengan identificadores en claro (por ejemplo, cookies HTTP u otros flujos móviles que envían identificadores únicos como IMEI o el AAID sin cifrar). El primero puede ser ejecutado, por ejemplo, por el Proveedor de Servicios de Internet o el MNO. Este último puede ser ejecutado por cualquier adversario sobre la ruta, como el proveedor de red o incluso el proveedor de nube que aloja más de un servicio al que accede la víctima. Cuanto más lejos esté el adversario de la víctima (el cliente) o del endpoint (el servidor), es menos probable que el adversario tenga acceso a la información de reidentificación. La vulnerabilidad ha sido mitigada con la inyección de tráfico ficticio desde la aplicación hacia el backend. Todos los usuarios generan tráfico ficticio independientemente de si son positivos para COVID-19 o no. El problema se corrigió en iOS en versión 1.0.8 (distribución uniforme), versión 1.1.0 (distribución exponencial), Android en versión 1.0.7 (distribución uniforme), versión 1.1.0 (distribución exponencial), Backend en versión 1.1.2- RELEASE. Para más información consulte el GitHub Security Advisory 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