side channel vulnerability | Breaking Cybersecurity News | The Hacker News

Security researchers have outlined a new technique that renders a remote timing-based side-channel attack more effective regardless of the network congestion between the adversary and the target server. Remote timing attacks that work over a network connection are predominantly affected by variations in network transmission time (or jitter), which, in turn, depends on the load of the network connection at any given point in time. But since measuring the time taken to execute cryptographic algorithms is crucial to carrying out a timing attack and consequently leak information, the jitter on the network path from the attacker to the server can make it impractical to successfully exploit timing side-channels that rely on a small difference in execution time. The new method, called Timeless Timing Attacks (TTAs) by researchers from DistriNet Research Group and New York University Abu Dhabi, instead leverages multiplexing of network protocols and concurrent execution by applicati

Cybersecurity researchers have discovered two distinct attacks that could be exploited against modern Intel processors to leak sensitive information from the CPU's trusted execution environments (TEE). Called SGAxe , the first of the flaws is an evolution of the previously uncovered CacheOut attack (CVE-2020-0549) earlier this year that allows an attacker to retrieve the contents from the CPU's L1 Cache. "By using the extended attack against the Intel-provided and signed architectural SGX enclaves, we retrieve the secret attestation key used for cryptographically proving the genuinity of enclaves over the network, allowing us to pass fake enclaves as genuine," a group of academics from the University of Michigan said. The second line of attack, dubbed CrossTalk by researchers from the VU University Amsterdam, enables attacker-controlled code executing on one CPU core to target SGX enclaves running on a completely different core, and determine the enclave'

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or

Zombieload is back. This time a new variant (v2) of the data-leaking side-channel vulnerability also affects the most recent Intel CPUs, including the latest Cascade Lake, which are otherwise resistant against attacks like Meltdown , Foreshadow and other MDS variants (RIDL and Fallout). Initially discovered in May this year, ZombieLoad is one of the three novel types of microarchitectural data sampling (MDS) speculative execution vulnerabilities that affect Intel processor generations released from 2011 onwards. The first variant of ZombieLoad is a Meltdown-type attack that targets the fill-buffer logic allowing attackers to steal sensitive data not only from other applications and the operating system but also from virtual machines running in the cloud with common hardware. ZombieLoad v2 Affects Latest Intel CPUs Now, the same group of researchers has disclosed details of a second variant of the vulnerability, dubbed ZombieLoad v2 and tracked as CVE-2019-11135 , that r

Unlike previous side-channel vulnerabilities disclosed in Intel CPUs, researchers have discovered a new flaw that can be exploited remotely over the network without requiring an attacker to have physical access or any malware installed on a targeted computer. Dubbed NetCAT , short for Network Cache ATtack, the new network-based side-channel vulnerability could allow a remote attacker to sniff out sensitive data, such as someone's SSH password, from Intel's CPU cache. Discovered by a team of security researchers from the Vrije University in Amsterdam, the vulnerability, tracked as CVE-2019-11184, resides in a performance optimization feature called Intel's DDIO—short for Data-Direct I/O—which by design grants network devices and other peripherals access to the CPU cache. The DDIO comes enabled by default on all Intel server-grade processors since 2012, including Intel Xeon E5, E7 and SP families. According to the researchers [ paper ], NetCAT attack works simila