TLS handshake | Breaking Cybersecurity News | The Hacker News

A group of researchers has detailed a new timing vulnerability in Transport Layer Security (TLS) protocol that could potentially allow an attacker to break the encryption and read sensitive communication under specific conditions. Dubbed " Raccoon Attack ," the server-side attack exploits a side-channel in the cryptographic protocol (versions 1.2 and lower) to extract the shared secret key used for secure communications between two parties. "The root cause for this side channel is that the TLS standard encourages non-constant-time processing of the DH secret," the researchers explained their findings in a paper. "If the server reuses ephemeral keys, this side channel may allow an attacker to recover the premaster secret by solving an instance of the Hidden Number Problem." However, the academics stated that the vulnerability is hard to exploit and relies on very precise timing measurements and on a specific server configuration to be exploitable.

Facebook has open sourced Fizz—a library designed to help developers implement TLS 1.3 protocol with all recommended security and performance related configurations. Since late last month, Google Chrome web browser has started marking all non-HTTPS websites as 'Not Secure' in an effort to make the web a more secure place, forcing website administrators to switch to HTTPS. TLS 1.3 is the newest and most secure cryptographic protocol of the Transportation Layer Security (TLS), the successor to Secure Sockets Layer (SSL), which encrypts data in transit between clients and servers to prevent data theft or tampering. To make internet traffic more secure, TLS 1.3 incorporates several new features like encrypting handshake messages to keep certificates private, redesigning the way secret keys are derived, and a zero round-trip (0-RTT) connection setup, making certain requests faster than TLS 1.2. Written in C++ 14, Fizz is a reliable and highly performant TLS library that

Ambitious Employees Tout New AI Tools, Ignore Serious SaaS Security Risks Like the  SaaS shadow IT  of the past, AI is placing CISOs and cybersecurity teams in a tough but familiar spot.  Employees are covertly using AI  with little regard for established IT and cybersecurity review procedures. Considering  ChatGPT's meteoric rise to 100 million users within 60 days of launch , especially with little sales and marketing fanfare, employee-driven demand for AI tools will only escalate.  As new studies show  some workers boost productivity by 40% using generative AI , the pressure for CISOs and their teams to fast-track AI adoption — and turn a blind eye to unsanctioned AI tool usage — is intensifying.  But succumbing to these pressures can introduce serious SaaS data leakage and breach risks, particularly as employees flock to AI tools developed by small businesses, solopreneurs, and indie developers. AI Security Guide Download AppOmni's CISO Guide to AI Security - Part 1 AI evoke

GnuTLS, a widely used open source SSL/TLS cryptographic library is vulnerable to a buffer overflow vulnerability that could be exploited to crash TLS clients or potentially execute malicious code on underlying systems. The GnuTLS library implements secure sockets layer (SSL) and transport layer security (TLS) protocols on computers, servers, and softwares to provide encrypted communications over insecure channels. The bug ( CVE-2014-3466 ) was independently discovered by Joonas Kuorilehto of security firm Codenomicon, the same security firm who discovered the biggest Internet vulnerability, Heartbleed. Unlike Heartbleed, the GnuTLS library is not as widely deployed as OpenSSL. The GnuTLS Vulnerability resides in the way GnuTLS parses the session ID from the server response during a TLS handshake. It does not check the length of session ID value in the ServerHello message, which allows a malicious server to send an excessively long value in order to execute buffer overf