TY  - CHAP
A1  - Kaspereit, Jonas
A1  - Öndarö, Gurur
A1  - Luvizotto Cesar, Gustavo
A1  - Ebbers, Simon
A1  - Ising, Fabian
A1  - Saatjohann, Christoph
A1  - Jonker, Mattijs
A1  - Holz, Ralph
A1  - Schinzel, Sebastian
T1  - LanDscAPe: Exploring LDAP Weaknesses and Data Leaks at Internet Scale
T2  - 33rd USENIX Security Symposium (USENIX Security 24)
N2  - The Lightweight Directory Access Protocol (LDAP) is the standard technology to query information stored in directories. These directories can contain sensitive personal data such as usernames, email addresses, and passwords. LDAP is also used as a central, organization-wide storage of configuration data for other services. Hence, it is important to the security posture of many organizations, not least because it is also at the core of Microsoft’s Active Directory, and other identity management and authentication services.

We report on a large-scale security analysis of deployed LDAP servers on the Internet. We developed LanDscAPe, a scanning tool that analyzes security-relevant misconfigurations of LDAP servers and the security of their TLS configurations. Our Internet-wide analysis revealed more than 10k servers that appear susceptible to a range of threats, including insecure configurations, deprecated software with known vulnerabilities, and insecure TLS setups. 4.9k LDAP servers host personal data, and 1.8k even leak passwords. We document, classify, and discuss these and briefly describe our notification campaign to address these concerning issues.
Y1  - 2024
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-181577
UR  - https://www.usenix.org/system/files/usenixsecurity24-kaspereit.pdf
SN  - 978-1-939133-44-1
ER  - 
TY  - CHAP
A1  - Ebbers, Simon
A1  - Ising, Fabian
A1  - Saatjohann, Christoph
A1  - Schinzel, Sebastian
T1  - Grand Theft App: Digital Forensics of Vehicle Assistant Apps
T2  - ARES 2021: The 16th International Conference on Availability, Reliability and Security
N2  - Due to the increasing connectivity of modern vehicles, collected data is no longer only stored in the vehicle itself but also transmitted to car manufacturers and vehicle assistant apps. This development opens up new possibilities for digital forensics in criminal investigations involving modern vehicles. This paper deals with the digital forensic analysis of vehicle assistant apps of eight car manufacturers. We reconstruct the driver’s activities based on the data stored on the smartphones and in the manufacturer’s backend.

For this purpose, data of the Android and iOS apps of the car manufacturers Audi, BMW, Ford, Mercedes, Opel, Seat, Tesla, and Volkswagen were extracted from the smartphone and examined using digital forensic methods following forensics guidelines. Additionally, manufacturer data was retrieved using Subject Access Requests. Using the extensive data gathered, we reconstruct trips and refueling processes, determine parking positions and duration, and track the locking and unlocking of the vehicle.

Our findings show that the digital forensic investigation of smartphone applications is a useful addition to vehicle forensics and should therefore be taken into account in the strategic preparation of future digital forensic investigations.
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-139031
ER  -