Common Ground·34 min
Mike Larkin
Shows how third-party dependencies make applications open files, load code and make network calls the developers never intended.
DEF CON 34 talks are here: 354 talks, summarized and searchable.
Browse DEF CON 34Las Vegas, USA · August 2024 · 13 talks
Common Ground talks from BSides Las Vegas 2024.
1–13 of 13 talks
Common Ground·34 min
Mike Larkin
Shows how third-party dependencies make applications open files, load code and make network calls the developers never intended.
Common Ground·45 min
Yotam Perkal
Shows how SBOM, CSAF and VEX data can automate vulnerability triage and shift prioritization toward real risk.
Common Ground·43 min
Laura Johnson
Shows how targets of online harassment can document abuse, seek protective orders, and find support.
Common Ground·44 min
Kirill Efimov · Eitan Worcel
Shows why AI-generated vulnerability fixes often break applications, and how a hybrid approach can work better.
Common Ground·19 min
Dade
Explores how beginners and experts alike fall into cognitive biases, and offers a divergent thinking exercise to counter them.
Common Ground·42 min
Caleb Davis · Kyle Shockley
Traces an engineer's path from circuit-board mistakes to hardware hacking, touching on fault injection and power analysis.
Common Ground·45 min
Grey Fox
Walks through software defined radio basics, from FM listening and ADS-B tracking to replaying signals and disrupting Wi-Fi.
Common Ground·48 min
Harriet Farlow
Shows how adversarial machine learning can weaken facial recognition, framed as a casino heist.
Common Ground·17 min
Examines how a single port can be abused in Google Cloud Shell, the browser-based environment for GCP.
Common Ground·19 min
Yaron Avital
Shows how leaked GitHub Actions tokens in public build artifacts can be stolen in a race before they expire.
Common Ground·47 min
Emma Fang
Maps cloud-native DevOps threats and applies zero trust principles to secure CI/CD pipelines and developer environments.
Common Ground·42 min
Chloé Messdaghi
Offers a lighthearted beginner overview of the main risks to AI models and systems, from data poisoning to prompt injection.
Common Ground·19 min
James Ringold
Estimates when quantum computers could break RSA and Diffie-Hellman, and what organizations can prepare now.