Daniel Stenberg
PulseAugur coverage of Daniel Stenberg — every cluster mentioning Daniel Stenberg across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
-
cURL founder analyzes AI vulnerability patching trends
Daniel Stenberg, the creator of cURL, has provided an overview of the current landscape of AI vulnerability reports. He noted both positive and negative trends regarding the pace of security patching in response to thes…
-
AI-generated 'slop' overwhelms bug bounty programs, shifting scarcity to analyst time
Bug bounty programs are facing a significant challenge due to the rise of AI-generated "slop" in security vulnerability reports. While AI has increased the volume of submissions, it has also made it harder for security …
-
Curl project faces maintainer strain, initiates survival strategy
The curl project is facing significant strain due to overloaded key maintainers, prompting a survival strategy that may involve further actions. This situation highlights the challenges faced by critical open-source pro…
-
AI floods curl bug bounty program, forcing maintainer to shut it down
The maintainer of the widely-used curl HTTP client, Daniel Stenberg, has shut down the project's bug bounty program due to an overwhelming influx of AI-generated vulnerability reports. Since 2024, the volume of these re…
-
AI startup Aisle finds bugs missed by major AI coding tools
Aisle, an AI-native startup focused on vulnerability management, is gaining recognition among open-source maintainers for its ability to detect bugs that more prominent AI coding tools miss. While tools like Anthropic's…
-
AISLE AI finds 6 curl vulnerabilities missed by OpenAI, Anthropic
AISLE's AI system has identified six previously unknown vulnerabilities in the widely used curl software, contrasting with zero findings from OpenAI's Codex Security and Anthropic's Mythos. These vulnerabilities, all ra…
-
AI pentesting uncovers critical bugs missed by traditional tools in OSS
AI-powered pentesting tools are proving more effective at discovering critical vulnerabilities in long-standing open-source projects than traditional signature-based scanners. Projects like curl and FFmpeg, which have u…
-
Anthropic's Mythos project faces scrutiny over marketing claims
A critical analysis of Anthropic's Mythos project suggests it is primarily a marketing campaign rather than a genuine advancement in AI verification. The author, Davi Ottenheimer, meticulously deconstructs Anthropic's c…
-
Flathub bans AI-generated code and content in new submissions
Flathub, a platform for Linux applications, has updated its policies to prohibit AI-generated or AI-assisted code and content in new submissions. This change stems from issues with user behavior and an overwhelming infl…
-
AI-assisted reports flood curl project with security vulnerabilities
The curl project is experiencing an unprecedented surge in security vulnerability reports, largely attributed to AI-assisted discovery. Daniel Stenberg, a key figure in the curl team, reports that the volume of these re…
-
Anthropic's Mythos AI fails to find critical bugs in curl code
Anthropic's Mythos AI model, marketed as too dangerous for public release, was tested by Daniel Stenberg, the creator of curl, on his project's codebase. The AI identified five potential vulnerabilities, but upon review…
-
cURL creator urges FOSS projects to use AI for security scanning
Daniel Stenberg, the creator of the widely-used command-line tool cURL, is urging open-source maintainers to adopt AI-powered code analysis tools. He emphasizes that without such AI scanning, projects are likely to harb…
-
Mastodon user to speak with Curl creator on Sunday
A speaker is scheduled to discuss the Mastodon web application with Daniel Stenberg, the creator of curl, on Sunday, May 10th at 8 UTC. The discussion will be hosted on the Delta Boogie Network-Gamer+ platform.
-
Creator of curl measures software bug rates, finds zero-bug goal surprising
Daniel Stenberg, the creator of the widely used curl tool, investigated the feasibility of achieving zero software bugs. By analyzing real-world vulnerability data, Stenberg's findings suggest that eliminating all bugs …