SHA-1 | Breaking Cybersecurity News | The Hacker News

SHA-1, Secure Hash Algorithm 1, a very popular cryptographic hashing function designed in 1995 by the NSA, is officially dead after a team of researchers from Google and the CWI Institute in Amsterdam announced today submitted the first ever successful SHA-1 collision attack. SHA-1 was designed in 1995 by the National Security Agency (NSA) as a part of the Digital Signature Algorithm. Like other hashes, SHA-1 also converts any input message to a long string of numbers and letters that serve as a cryptographic fingerprint for that particular message. Collision attacks appear when the same hash value (fingerprint) is produced for two different messages, which then can be exploited to forge digital signatures, allowing attackers to break communications encoded with SHA-1. The explanation is technologically tricky, but you can think of it as attackers who surgically alters their fingerprints in order to match yours, and then uses that to unlock your smartphone. The researchers h

The National Institute of Standards and Technology (NIST) had published a document on Jan 2011 that the SHA-1 algorithm will be risky and should be disallowed after year 2013, but it was recently noticed by Netcraft experts that NIST.gov website itself were using 2014 dated SSL certificate with SHA-1 hashes. " From January 1, 2011 through December 31, 2013, the use of SHA-1 is deprecated for digital signature generation. The user must accept risk when SHA-1 is used, particularly when approaching the December 31, 2013 upper limit. SHA-1 shall not be used for digital signature generation after December 31, 2013. " NIST in the document. Digital signatures facilitate the safe exchange of electronic documents by providing a way to test both the authenticity and the integrity of information exchanged digitally. Authenticity means when you sign data with a digital signature, someone else can verify the signature, and can confirm that the data originated from you and was not

The introduction of Open AI's ChatGPT was a defining moment for the software industry, touching off a GenAI race with its November 2022 release. SaaS vendors are now rushing to upgrade tools with enhanced productivity capabilities that are driven by generative AI. Among a wide range of uses, GenAI tools make it easier for developers to build software, assist sales teams in mundane email writing, help marketers produce unique content at low cost, and enable teams and creatives to brainstorm new ideas.  Recent significant GenAI product launches include Microsoft 365 Copilot, GitHub Copilot, and Salesforce Einstein GPT. Notably, these GenAI tools from leading SaaS providers are paid enhancements, a clear sign that no SaaS provider will want to miss out on cashing in on the GenAI transformation. Google will soon launch its SGE "Search Generative Experience" platform for premium AI-generated summaries rather than a list of websites.  At this pace, it's just a matter of a short time befo