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ReDoS Vulnerability Reports: Security Relevance vs. Noisy Nuisance

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Manage episode 403902513 series 3461851
Contenido proporcionado por MLSecOps.com. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente MLSecOps.com o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

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In this episode, we delve into a hot topic in the bug bounty world: ReDoS (Regular Expression Denial of Service) reports. Inspired by reports submitted by the huntr AI/ML bug bounty community and an insightful blog piece by open source expert, William Woodruff (Engineering Director, Trail of Bits), this conversation explores:

  • Are any ReDoS vulnerabilities worth fixing?
  • Triaging and the impact of ReDoS reports on software maintainers.
  • The challenges of addressing ReDoS vulnerabilities amidst developer fatigue and resource constraints.
  • Analyzing the evolving trends and incentives shaping the rise of ReDoS reports in bug bounty programs, and their implications for severity assessment.
  • Can LLMs be used to help with code analysis?

Tune in as we dissect the dynamics of ReDoS, offering insights into its implications for the bug hunting community and the evolving landscape of security for AI/ML.

Thanks for checking out the MLSecOps Podcast! Get involved with the MLSecOps Community and find more resources at https://community.mlsecops.com.
Additional tools and resources to check out:
Protect AI Guardian: Zero Trust for ML Models

Recon: Automated Red Teaming for GenAI

Protect AI’s ML Security-Focused Open Source Tools

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

  continue reading

47 episodios

Artwork
iconCompartir
 
Manage episode 403902513 series 3461851
Contenido proporcionado por MLSecOps.com. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente MLSecOps.com o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Send us a text

In this episode, we delve into a hot topic in the bug bounty world: ReDoS (Regular Expression Denial of Service) reports. Inspired by reports submitted by the huntr AI/ML bug bounty community and an insightful blog piece by open source expert, William Woodruff (Engineering Director, Trail of Bits), this conversation explores:

  • Are any ReDoS vulnerabilities worth fixing?
  • Triaging and the impact of ReDoS reports on software maintainers.
  • The challenges of addressing ReDoS vulnerabilities amidst developer fatigue and resource constraints.
  • Analyzing the evolving trends and incentives shaping the rise of ReDoS reports in bug bounty programs, and their implications for severity assessment.
  • Can LLMs be used to help with code analysis?

Tune in as we dissect the dynamics of ReDoS, offering insights into its implications for the bug hunting community and the evolving landscape of security for AI/ML.

Thanks for checking out the MLSecOps Podcast! Get involved with the MLSecOps Community and find more resources at https://community.mlsecops.com.
Additional tools and resources to check out:
Protect AI Guardian: Zero Trust for ML Models

Recon: Automated Red Teaming for GenAI

Protect AI’s ML Security-Focused Open Source Tools

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

  continue reading

47 episodios

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