According to the CHFI v11 Cloud Forensics objectives, cloud environments rely heavily onvirtualization, where multiple virtual machines share the same underlying physical hardware such as CPU caches, memory, storage, and network interfaces. Attackers can exploit this shared-resource model by intentionally placing malicious VMs on the same physical host as the victim VM, a technique often referred to asco-residency attacks. Once co-residency is achieved, attackers performside-channel attacksthat analyze indirect indicators such as cache timing, memory access patterns, or CPU usage to infer sensitive information.
This scenario precisely describes theexploitation of shared resources for side-channel attacks. Timing vulnerabilities in shared CPU caches or memory buses allow attackers to extract cryptographic keys, credentials, or other sensitive data without directly breaching the target system. After obtaining credentials, attackers may impersonate legitimate users, escalating the impact of the attack.
Other options are incorrect because DNS hijacking (Option B) targets name resolution, SQL injection (Option D) operates at the application layer, and VM overloading (Option A) is typically associated with denial-of-service rather than covert data extraction.
The CHFI v11 blueprint explicitly addressescloud computing threats and attacks, emphasizing risks introduced bymulti-tenancy, shared infrastructure, and virtualization, making side-channel exploitation a critical forensic and security concern in cloud investigations