Tag: fuzzing
-
Google Online Security Blog: Leveling Up Fuzzing: Finding more vulnerabilities with AI
Source URL: http://security.googleblog.com/2024/11/leveling-up-fuzzing-finding-more.html Source: Google Online Security Blog Title: Leveling Up Fuzzing: Finding more vulnerabilities with AI Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses significant advancements in automated vulnerability discovery utilizing AI, specifically highlighting the OSS-Fuzz project’s recent successes with AI-powered fuzzing, which led to the identification of critical vulnerabilities, including…
-
The Register: Google’s AI bug hunters sniff out two dozen-plus code gremlins that humans missed
Source URL: https://www.theregister.com/2024/11/20/google_ossfuzz/ Source: The Register Title: Google’s AI bug hunters sniff out two dozen-plus code gremlins that humans missed Feedly Summary: OSS-Fuzz is making a strong argument for LLMs in security research Google’s OSS-Fuzz project, which uses large language models (LLMs) to help find bugs in code repositories, has now helped identify 26 vulnerabilities,…
-
The Register: Google claims Big Sleep ‘first’ AI to spot freshly committed security bug that fuzzing missed
Source URL: https://www.theregister.com/2024/11/05/google_ai_vulnerability_hunting/ Source: The Register Title: Google claims Big Sleep ‘first’ AI to spot freshly committed security bug that fuzzing missed Feedly Summary: You snooze, you lose, er, win Google claims one of its AI models is the first of its kind to spot a memory safety vulnerability in the wild – specifically an…
-
Simon Willison’s Weblog: From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code
Source URL: https://simonwillison.net/2024/Nov/1/from-naptime-to-big-sleep/#atom-everything Source: Simon Willison’s Weblog Title: From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code Feedly Summary: From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code Google’s Project Zero security team used a system based around Gemini 1.5 Pro to find…
-
Hacker News: Using Large Language Models to Catch Vulnerabilities
Source URL: https://googleprojectzero.blogspot.com/2024/10/from-naptime-to-big-sleep.html Source: Hacker News Title: Using Large Language Models to Catch Vulnerabilities Feedly Summary: Comments AI Summary and Description: Yes Summary: The Big Sleep project, a collaboration between Google Project Zero and Google DeepMind, has successfully discovered a previously unknown exploitable memory-safety vulnerability in SQLite through AI-assisted analysis, marking a significant advancement in…
-
Hacker News: Fuzzing between the lines in popular barcode software
Source URL: https://blog.trailofbits.com/2024/10/31/fuzzing-between-the-lines-in-popular-barcode-software/ Source: Hacker News Title: Fuzzing between the lines in popular barcode software Feedly Summary: Comments AI Summary and Description: Yes Summary: This text provides an in-depth analysis of fuzz testing applied to the ZBar barcode scanning library, highlighting the discovery of critical security vulnerabilities. The article emphasizes the importance of fuzzing in…
-
Hacker News: Safer with Google: Advancing Memory Safety
Source URL: https://security.googleblog.com/2024/10/safer-with-google-advancing-memory.html Source: Hacker News Title: Safer with Google: Advancing Memory Safety Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Google’s strategic commitment to enhancing memory safety in software, revealing a two-pronged approach that includes increasing the adoption of memory-safe languages and improving the risk management of existing memory-unsafe languages.…
-
Google Online Security Blog: Using Chrome’s accessibility APIs to find security bugs
Source URL: https://security.googleblog.com/2024/10/using-chromes-accessibility-apis-to.html Source: Google Online Security Blog Title: Using Chrome’s accessibility APIs to find security bugs Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the challenges and methodologies involved in fuzzing Chrome’s user interface (UI) to discover potential security bugs. It highlights the initiative of leveraging accessibility features to improve bug…