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Canonical Hit by Second DDoS Attack in 2026, Public Websites Disrupted

Security Affairsby Pierluigi Paganini ()2 min read2
AI summary · grok-4.7Summaries by Vani AI

Canonical's public websites were disrupted for over four hours by its second DDoS attack of 2026.

Canonical said on October 8 that its websites were under a sustained DDoS attack, its second in 2026. Public sites including ubuntu.com, canonical.com, the blog, developer portal, and security advisory pages, plus the Ubuntu Security API and Livepatch, were intermittent for a little over four hours. Launchpad, the Snap Store, package repositories, mirrors, disk images, and Ubuntu SSO stayed online. No group claimed the October attack; an April DDoS that also took down Launchpad and the Snap Store was claimed by The Islamic Cyber Resistance in Iraq, also known as 313 Team.

Key facts
  • Second 2026 DDoS against Canonical lasted a little over four hours.
  • Public sites, security advisories, the Security API, and Livepatch were disrupted.
  • Launchpad, the Snap Store, and package mirrors remained online.
  • No group claimed October's attack; 313 Team claimed the April incident.
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Indicators of compromise

auto-extracted · verify before use · export allAll
TypeIndicatorContext
domaincanonical.comaffected the most visible institutional domains, including canonical.com and ubuntu.com, as well as the official blog, the developer

From the original article

2 min read at securityaffairs.com

Canonical suffered its second DDoS attack this year, disrupting public websites for over four hours while Launchpad and the Snap Store remained online. Ubuntu’s parent company Canonical spent part of last week fighting off a sustained distributed denial of service (DDoS) attack, the second one to hit its infrastructure this year. The company revealed the […]

Security Affairs

By Pierluigi Paganini · securityaffairs.com

Read the full article at Security Affairs

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.