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Cloudflare reports 18.2 million L3 DDoS attacks in Q3

Original title: Cloudflare Reports 18.2 Million Network-Layer DDoS Attacks in Q3, Up 38%

The Hacker News ()1 min read
Part of a story covered by 4 sourcesCloudflare: brief DDoS attacks surged in Q3 2026 as terabit floods fellMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

That is about 8,226 network-layer attacks an hour, up from 13.2 million in Q2, plus 14.4 trillion HTTP DDoS requests.

Cloudflare said it mitigated 18.2 million network-layer DDoS attacks and 14.4 trillion HTTP DDoS requests in the third quarter of 2026. The company links the rise to DDoS-for-hire booter and stresser services. Attacks over 1 Tbps fell 69% quarter over quarter, which Cloudflare ties to earlier law-enforcement action, while short bursts under 10 minutes and 1 Gbps rose 208%. DNS amplification grew, and new botnet variants Dysphoria and Evooo1Bot appeared.

Unconfirmed: The drop in attacks over 1 Tbps is described as likely tied to March enforcement actions.

Key facts
  • Q2 and Q1 recorded 13.2 million and 10.0 million L3 attacks.
  • Hyper-volumetric attacks over 1 Tbps fell from 805 in Q2 to 251 in Q3.
  • DNS amplification rose 215% to 3.43% of network-layer attacks.
  • CLDAP floods declined, according to Cloudforce One.
  • Top attacked countries were the U.S., China, Indonesia, the U.K., and Türkiye.
Security assessment · AI, from the article

Impact: Network and HTTP denial of service against many industries

Analyze this story with Vani AIImpact, who is affected and what defenders should do, in a new chat

From the original article

1 min read at thehackernews.com

Threat actors are launching about 8,226 network-layer distributed denial-of-service (DDoS) attacks per hour, Cloudflare revealed Thursday. The web infrastructure and security company said it autonomously mitigated 18. 2 million network-layer (L3) DDoS attacks and 14.

The Hacker News

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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.