curl
PulseAugur coverage of curl — every cluster mentioning curl across labs, papers, and developer communities, ranked by signal.
- developed by Daniel Stenberg 100%
- founded Daniel Stenberg 95%
- founded by Daniel Stenberg 90%
- used by jq 70%
- used by Javascript 70%
- affiliated with Daniel Stenberg 70%
- authored by Daniel Stenberg 70%
- used by Representational State Transfer 70%
- used by API hub architecture 70%
- used by Bash 70%
- used by Node.js 60%
- used by windsurf 60%
- 2026-05-11 research_milestone A security analysis report for the curl project was generated using Anthropic's Mythos AI model.
15 day(s) with sentiment data
Curl's creator is skeptical of AI-driven security claims.
The creator of Curl has publicly criticized Anthropic's AI security claims, labeling them as marketing. This suggests a potential disconnect or ongoing debate between established security experts and newer AI-focused security initiatives regarding the true efficacy and transparency of AI in cybersecurity.
AI tools may increase the attack surface for systems using curl for installation.
The widespread adoption of AI tools and their installation via simple curl/bash commands presents a significant security risk. As more AI tools become accessible, this installation method could be exploited by malicious actors, leading to the execution of harmful scripts, especially among less experienced users.
AI code analysis tools are identifying vulnerabilities in widely used software like curl.
An AI tool named Mythos has identified a vulnerability in curl. While this specific vulnerability was not novel, it demonstrates the growing capability of AI models to scan and flag issues in established software. This trend suggests AI will play an increasing role in software security auditing.
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AI pentesting uncovers critical bugs missed by traditional tools in OSS
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Send16 enhances email API for AI agents with zero-DNS sandbox and identity endpoint
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Lazy-mac.com launches JSON Schema and Email Validator APIs for AI coding tools
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