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OpenSSF Launches SIREN: A Mailing List for Open Source Threat Intelligence

The Open Source Security Foundation introduces SIREN, a dedicated mailing list for sharing real-time threat intelligence about attacks targeting open source ecosystems.

Nayan Dey
Security Engineering Lead
6 min read

In November 2024, the Open Source Security Foundation (OpenSSF) launched SIREN (Secure Information Resource and Event Notification), a mailing list dedicated to sharing threat intelligence about attacks targeting open source software ecosystems. It fills a gap that has been painfully obvious for years: the open source community lacked a centralized, structured channel for communicating about active supply chain threats.

Why SIREN Matters

When a malicious package is discovered on npm, PyPI, or RubyGems, the information typically spreads through a patchwork of channels: Twitter threads, blog posts, GitHub issues, security researcher Discord servers, and vendor advisories. By the time the information reaches most development teams, the malicious package may have already accumulated thousands of downloads.

SIREN aims to change this by providing a dedicated, low-noise channel specifically for:

  • Active malicious package campaigns across package registries
  • Compromised maintainer accounts and unauthorized package updates
  • Typosquatting and dependency confusion attacks in real time
  • Build system compromises affecting widely used open source projects
  • Indicators of compromise specific to software supply chain attacks

This is not another vulnerability disclosure list. SIREN focuses on active threats, specifically attacks in progress, not software bugs waiting to be patched.

The Information Gap in Open Source Security

Consider the timeline of a typical malicious package attack:

  1. An attacker publishes a typosquatted package or compromises a legitimate one
  2. Developers install the package, often through automated dependency resolution
  3. A security researcher or automated scanner detects the malicious behavior
  4. The researcher reports it to the registry, which removes the package
  5. The researcher publishes a blog post or tweet about the finding
  6. News spreads through security media and social channels
  7. Affected organizations learn about the threat and check their environments

The gap between steps 3 and 7 can be days or weeks. SIREN compresses this by providing a direct channel from step 3 to affected organizations.

How SIREN Is Structured

SIREN operates as a moderated mailing list with clear formatting guidelines for threat notifications. Each notification includes:

Threat summary. A concise description of the attack, including the affected ecosystem (npm, PyPI, Maven, etc.), the nature of the malicious behavior, and the scope of impact.

Indicators of compromise. Package names, versions, hashes, and any known command-and-control infrastructure. This allows organizations to immediately check their dependency trees and build logs.

Mitigation guidance. Specific steps to detect and remediate the threat, including which versions to remove or roll back to.

Attribution context. When available, information about the threat actor or campaign, linking to related attacks.

The moderated format ensures signal quality. Unlike social media, where malicious package reports mix with opinion and speculation, SIREN posts are vetted before distribution.

Early Contributions and Use Cases

In its first weeks, SIREN facilitated rapid notification about several notable incidents:

Coordinated typosquatting campaigns. Multiple packages across npm and PyPI that were part of the same campaign were linked together and reported as a unified threat, rather than appearing as isolated incidents across different researcher blogs.

Compromised maintainer accounts. When a popular package maintainer's credentials were suspected compromised, SIREN enabled rapid notification before a malicious update could be widely deployed.

Build infrastructure attacks. Reports of CI/CD pipeline compromises that could affect downstream users of specific open source projects.

Integration with Existing Efforts

SIREN does not operate in isolation. It complements several existing OpenSSF initiatives:

Package Analysis Project. OpenSSF's automated malicious package detection system feeds findings into SIREN, providing a steady stream of machine-detected threats that are then verified by human analysts.

Scorecard. The OpenSSF Scorecard project assesses the security posture of open source projects. SIREN can highlight when projects with poor Scorecard ratings are actively being targeted.

Sigstore. Cryptographic signing of packages through Sigstore provides a verification layer. SIREN notifications can reference Sigstore attestations to help organizations verify package integrity.

Alpha-Omega. OpenSSF's initiative to improve security of critical open source projects can use SIREN threat data to prioritize which projects need immediate attention.

The Broader Threat Intelligence Landscape

SIREN arrives at a moment when software supply chain attacks have become a primary concern for enterprise security teams. The numbers tell the story:

  • Malicious package publications across major registries increased by over 150% between 2022 and 2024
  • The average time from malicious package publication to removal has been measured in days, not hours
  • Dependency confusion and typosquatting attacks have become industrialized, with threat actors operating at scale

Traditional threat intelligence platforms focus on network indicators: IP addresses, domains, malware hashes. Software supply chain threats require different indicators: package names, version ranges, build artifact hashes, registry metadata. SIREN is purpose-built for this different indicator set.

Challenges Ahead

SIREN faces several challenges as it scales:

Volume management. As detection capabilities improve, the number of malicious packages discovered daily is growing. SIREN needs to maintain signal quality without becoming a firehose.

Response automation. A mailing list is a human-readable format. For SIREN to drive automated responses (blocking packages, triggering scans), structured data formats and API integrations will be needed.

Coverage gaps. SIREN's effectiveness depends on researchers and organizations contributing threat data. Ecosystems with less security research coverage may have fewer SIREN reports, creating false confidence.

Timeliness vs. accuracy. Rapid notification is valuable, but false positives erode trust. The moderation process needs to balance speed with verification.

What This Means for Development Teams

For organizations consuming open source dependencies, SIREN provides actionable intelligence that should feed into existing security workflows:

Subscribe and monitor. Development and security teams should subscribe to SIREN and integrate notifications into their incident response processes.

Automate dependency checking. When a SIREN notification includes specific package names and versions, automated checks against your dependency manifests and lock files should be possible within minutes.

Contribute back. If your organization discovers malicious packages or supply chain threats, contributing to SIREN strengthens the entire ecosystem.

How Safeguard.sh Helps

Safeguard.sh aligns with the same principles driving SIREN: real-time visibility into software supply chain threats.

Safeguard.sh continuously monitors your dependency trees against multiple threat intelligence sources, including the types of indicators shared through SIREN. When a malicious package is reported, Safeguard.sh can immediately identify whether any of your projects are affected.

Through SBOM generation and continuous monitoring, Safeguard.sh provides the dependency inventory that makes SIREN notifications actionable. You cannot check whether you are affected by a malicious package if you do not know what packages you are using.

Safeguard.sh turns threat intelligence into immediate, automated response, exactly the workflow that SIREN is designed to enable.

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