• Cyber Safety
  • Posts
  • “Supply Chain in the Crosshairs”: Dependency Poisoning & Build Attacks

“Supply Chain in the Crosshairs”: Dependency Poisoning & Build Attacks

In partnership with

Find out why 100K+ engineers read The Code twice a week

Staying behind on tech trends can be a career killer.

But let’s face it, no one has hours to spare every week trying to stay updated.

That’s why over 100,000 engineers at companies like Google, Meta, and Apple read The Code twice a week.

Here’s why it works:

  • No fluff, just signal – Learn the most important tech news delivered in just two short emails.

  • Supercharge your skills – Get access to top research papers and resources that give you an edge in the industry.

  • See the future first – Discover what’s next before it hits the mainstream, so you can lead, not follow.

Dependency Confusion Attacks Are Still Thriving

Attackers upload malicious packages with the same name as internal libraries to public repos. CI pipelines pull them unknowingly — especially in hybrid cloud/on-prem setups.

Deep Dependency Layers Are Evading Security Scans

Many SCA (Software Composition Analysis) tools fail to detect vulnerabilities in deeply nested dependencies. These indirect packages can carry backdoors or post-install scripts.

Compromised Build Agents Infect Every Artifact

If a CI runner or build server is compromised, every app or binary it creates becomes a delivery vehicle for malware — often signed and “trusted.”

Free email without sacrificing your privacy

Gmail tracks you. Proton doesn’t. Get private email that puts your data — and your privacy — first.

Secrets Are Leaking via Logs and Containers

API keys, DB creds, and tokens often get hardcoded or exposed in pipeline logs, build artifacts, or unscanned containers — then pushed to public registries.

Supply Chain Risk Isn’t Just About Code

Vendors with poor patch hygiene, unsigned binaries, or no changelogs can introduce systemic risks. Attacks now target governance, not just GitHub.

AI-Model Supply Chains Are Emerging as New Targets

ML tools using shared datasets, weights, and fine-tuned models can unknowingly ingest tainted logic — affecting prediction accuracy and integrity.

Daily News for Curious Minds

Be the smartest person in the room by reading 1440! Dive into 1440, where 4 million Americans find their daily, fact-based news fix. We navigate through 100+ sources to deliver a comprehensive roundup from every corner of the internet – politics, global events, business, and culture, all in a quick, 5-minute newsletter. It's completely free and devoid of bias or political influence, ensuring you get the facts straight. Subscribe to 1440 today.