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The day my ping took countermeasures Announcing Claude Compliance API support with Cloudflare CASB Announcing Claude Managed Agents on Cloudflare Project Glasswing: what Mythos showed us Our billing pipeline was suddenly slow. The culprit was a hidden bottleneck in ClickHouse Browser Run: now running on Cloudflare Containers, it’s faster and more scalable When "idle" isn't idle: how a Linux kernel optimization became a QUIC bug Building For The Future How Cloudflare responded to the “Copy Fail” Linux vulnerability When DNSSEC goes wrong: how we responded to the .de TLD outage Code Orange: Fail Small is complete. The result is a stronger Cloudflare network Introducing Dynamic Workflows: durable execution that follows the tenant Post-quantum encryption for Cloudflare IPsec is generally available Agents can now create Cloudflare accounts, buy domains, and deploy Shutdowns, power outages, and conflict: a review of Q1 2026 Internet disruptions Making Rust Workers reliable: panic and abort recovery in wasm‑bindgen Moving past bots vs. humans Building the agentic cloud: everything we launched during Agents Week 2026 The AI engineering stack we built internally — on the platform we ship Orchestrating AI Code Review at scale Introducing the Agent Readiness score. Check to see if your site is agent-ready Shared Dictionaries: compression that keeps up with the agentic web Redirects for AI Training enforces canonical content Unweight: how we compressed an LLM 22% without sacrificing quality Agents that remember: introducing Agent Memory Agents Week: network performance update Introducing Flagship: feature flags built for the age of AI Cloudflare’s AI Platform: an inference layer designed for agents Building the foundation for running extra-large language models AI Search: the search primitive for your agents Deploy Postgres and MySQL databases with PlanetScale + Workers Artifacts: versioned storage that speaks Git Email for agents - Cloudflare Email Service now in public beta Project Think: building the next generation of AI agents on Cloudflare Introducing Agent Lee - a new interface to the Cloudflare stack Register domains wherever you build: Cloudflare Registrar API now in beta Browser Run: give your agents a browser Rearchitecting the Workflows control plane for the agentic era Add voice to your agent Managed OAuth for Access: make internal apps agent-ready in one click Securing non-human identities: automated revocation, OAuth, and scoped permissions Scaling MCP adoption: Our reference architecture for simpler, safer and cheaper enterprise deployments of MCP Secure private networking for everyone: users, nodes, agents, Workers — introducing Cloudflare Mesh Building a CLI for all of Cloudflare Durable Objects in Dynamic Workers: Give each AI-generated app its own database Agents have their own computers with Sandboxes GA Dynamic, identity-aware, and secure Sandbox auth Welcome to Agents Week 500 Tbps of capacity: 16 years of scaling our global network From bytecode to bytes- automated magic packet generation Cloudflare targets 2029 for full post-quantum security How we built Organizations to help enterprises manage Cloudflare at scale Why we're rethinking cache for the AI era Our ongoing commitment to privacy for the 1.1.1.1 public DNS resolver Introducing EmDash — the spiritual successor to WordPress that solves plugin security Introducing Programmable Flow Protection: custom DDoS mitigation logic for Magic Transit customers Cloudflare Client-Side Security: smarter detection, now open to everyone How we use Abstract Syntax Trees (ASTs) to turn Workflows code into visual diagrams A one-line Kubernetes fix that saved 600 hours a year Sandboxing AI agents, 100x faster Inside Gen 13- how we built our most powerful server yet Launching Cloudflare’s Gen 13 servers- trading cache for cores for 2x edge compute performance Powering the agents: Workers AI now runs large models, starting with Kimi K2.5 Introducing Custom Regions for precision data control Standing up for the open Internet- why we appealed Italy’s Piracy Shield fine From legacy architecture to Cloudflare One Announcing Cloudflare Account Abuse Protection: prevent fraudulent attacks from bots and humans Slashing agent token costs by 98% with RFC 9457-compliant error responses AI Security for Apps is now generally available Building a security overview dashboard for actionable insights Investigating multi-vector attacks in Log Explorer Translating risk insights into actionable protection: leveling up security posture with Cloudflare and Mastercard Fixing request smuggling vulnerabilities in Pingora OSS deployments Active defense: introducing a stateful vulnerability scanner for APIs Complexity is a choice. 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Cloudflare's Handling of an RCE Vulnerability in cdnjs
Cloudflare Team · 2021-07-24 · via The Cloudflare Blog

2021-07-24

5 min read

cdnjs provides JavaScript, CSS, images, and fonts assets for websites to reference with more than 4,000 libraries available. By utilizing cdnjs, websites can load faster with less strain on one’s own origin server as files are served directly from Cloudflare’s edge. Recently, a blog post detailed a vulnerability in the way cdnjs’ backend automatically keeps the libraries up to date.

This vulnerability allowed the researcher to execute arbitrary code, granting the ability to modify assets. This blog post details how Cloudflare responded to this report, including the steps we took to block exploitation, investigate potential abuse, and remediate the vulnerability.

This vulnerability is not related to Cloudflare CDN. The cdnjs project is a platform that leverages Cloudflare’s services, but the vulnerability described below relates to cdnjs’ platform only. To be clear, no existing libraries were modified using this exploit. The researcher published a new package which demonstrated the vulnerability and our investigation concluded that the integrity of all assets hosted on cdnjs remained intact.

Disclosure Timeline

As outlined in RyotaK’s blog post, the incident began on 2021-04-06. At around 1100 GMT, RyotaK published a package to npm exploiting the vulnerability. At 1129 GMT, cdnjs processed this package, resulting in a leak of credentials. This triggered GitHub alerting which notified Cloudflare of the exposed secrets.

Cloudflare disabled the auto-update service and revoked all credentials within an hour. In the meantime, our security team received RyotaK’s remote code execution report through HackerOne. A new version of the auto-update tool which prevents exploitation of the vulnerability RyotaK reported was released within 24 hours.

Having taken action immediately to prevent exploitation, we then proceeded to redesign the auto-update pipeline. Work to completely redesign it was completed on 2021-06-03.

Blocking Exploitation

Before RyotaK reported the vulnerability via HackerOne, Cloudflare had already taken action. When GitHub notified us that credentials were leaked, one of our engineers took immediate action and revoked them all. Additionally, the GitHub token associated with this service was automatically revoked by GitHub.

The second step was to bring the vulnerable service offline to prevent further abuse while we investigated the incident. This prevented exploitation but also made it impossible for legitimate developers to publish updates to their libraries. We wanted to release a fixed version of the pipeline used for retrieving and hosting new library versions so that developers could continue to benefit from caching. However, we understood that a stopgap was not a long term fix, and we decided to review the entire current solution to identify a better design that would improve the overall security of cdnjs.

Investigation

Any sort of investigation requires access to logs and all components of our pipeline generate extensive logs that prove valuable for forensics efforts. Logs produced by the auto-update process are collected in a GitHub repository and sent to our logging pipeline. We also collect and retain logs from cdnjs’ Cloudflare account. Our security team began reviewing this information as soon as we received RyotaK’s initial report. Based on access logs, API token usage, and file modification metadata, we are confident that only RyotaK exploited this vulnerability during his research and only on test files. To rule out abuse, we reviewed the list of source IP addresses that accessed the Workers KV token prior to revoking it and only found one, which belongs to the cdnjs auto-update bot.

The cdnjs team also reviewed files that were pushed to the cdnjs/cdnjs GitHub repository around that time and found no evidence of any other abuse across cdnjs.

Remediating the Vulnerability

Around half of the libraries on cdnjs use npm to auto-update. The primary vector in this attack was the ability to craft a .tar.gz archive with a symbolic link and publish it to the npm registry. When our pipeline extracted the content it would follow symlinks and overwrite local files using the pipeline user privileges. There are two fundamental issues at play here: an attacker can perform path traversal on the host processing untrusted files, and the process handling the compressed file is overly privileged.

We addressed the path traversal issue by checking that the destination of each file in the tarball will be contained within the target directory that the update process has designated for that package. If the file’s full canonical path doesn’t begin with the destination directory’s full path, we log this as a warning and skip extracting that file. This works fairly well, but as noted in the comment above this check, if the compressed file uses UTF-8 encoding for filenames, this check may not properly canonicalize the path. If this canonicalization does not occur, the path may contain path traversal, even though it starts with the correct destination path.

To ensure that other vulnerabilities in cdnjs’ publication pipeline cannot be exploited, we configured an AppArmor profile for it. This limits the capabilities of the service, so even if an attacker successfully instructed the process to perform an action, the operating system (kernel / security feature) will not allow any action outside of what it is allowed to do.

For illustration, here’s an example:

/path/to/bin {
  network,
  signal,
  /path/to/child ix,
  /tmp/ r,
  /tmp/cache** rw,
  ...
}

In this example, we only allow the binary (/path/to/bin) to:

  • access all networking

  • use all signals

  • execute /path/to/child (which will inherit the AppArmor profile)

  • read from /tmp

  • read+write under /tmp/cache.

Any attempt to access anything else will be denied. You can find the complete list of capabilities and more information on AppArmor’s manual page.

In the case of cdnjs’ autoupdate tool, we limit execution of applications to a very specific set, and we limit where files can be written.

Fixing the path traversal and implementing the AppArmor profile prevents similar issues from being exploited. However, having a single layer of defense wasn’t enough. We decided to completely redesign the auto-update process entirely to isolate each step, as well as each library it processes, thus preventing this entire class of attacks.

Redesigning the system

The main idea behind the redesign of the pipeline was to move away from the monolithic auto-update process. Instead, various operations are done using microservices or daemons which have well-defined scopes. Here’s an overview of the steps:

First, to detect new library versions, two daemons (for both npm and git based updates) are regularly running. Once a new version has been detected, the files will be downloaded as an archive and placed into the incoming storage bucket.

Writing a new version in the incoming bucket triggers a function that adds all the information we need to update the library. The function also generates a signed URL allowing for writing in the outgoing bucket, but only in a specific folder for a given library, reducing the blast radius. Finally, a message is placed into a queue to indicate that the new version of the given library is ready to be published.

A daemon listens for incoming messages and spawns an unprivileged Docker container to handle dangerous operations (archive extraction, minifications, and compression). After the sandbox exits, the daemon will use the signed URL to store the processed files in the outgoing storage bucket.

Finally, multiple daemons are triggered when the finalized package is written to the outgoing bucket. These daemons publish the assets to cdnjs.cloudflare.com and to the main cdnjs repository. The daemons also publish the version specific URL, cryptographic hash, and other information to Workers KV, cdnjs.com, and the API.

In this revised design, exploiting a similar vulnerability would happen in the sandbox (Docker container) context. The attacker would have access to container files, but nothing else. The container is minimal, ephemeral, has no secrets included, and is dedicated to a single library update, so it cannot affect other libraries’ files.

Our Commitment to Security

Beyond maintaining a vulnerability disclosure program, we regularly perform internal security reviews and hire third-party firms to audit the software we develop. But it is through our vulnerability disclosure program that we receive some of the most interesting and creative reports. Each report has helped us improve the security of our services. In this case, we worked with RyotaK to not only address the vulnerability, but to also ensure that their blog post was detailed and accurate. We invite those that find a security issue in any of Cloudflare’s services to report it to us through HackerOne.

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