Megalodon: Mass GitHub Repo Backdooring via CI Workflows
An automated campaign named Megalodon compromised over 5,500 GitHub repositories by injecting malicious commits. The attackers used forged identities to deploy workflows that exfiltrate sensitive information, including cloud credentials and SSH keys. Two variants of the malware were identified, one maximizing automated execution and the other creating dormant backdoors.
- ▪The Megalodon campaign pushed 5,718 malicious commits to 5,561 GitHub repositories in just six hours.
- ▪Attackers used throwaway accounts and forged identities to inject workflows containing base64-encoded bash payloads.
- ▪The campaign exfiltrated various sensitive data, including AWS credentials and SSH private keys.
4 outlets in our directory ran this story, first to last over 41 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Megalodon chums the waters in 5.5K+ GitHub repo poisonings — r/selfhosted
- ▪ Megalodon chums the waters in 5.5K+ GitHub repo poisonings — The Register
- ▪ mass github repo backdooring via CI workflows(Megalodon) — r/cybersecurity
Hacker News (Newest) files mainly under programming. We currently carry 5,306 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | SafeDep - Real-time Open Source Software Supply Chain Security |
| Canonical URL | https://safedep.io/megalodon-mass-github-repo-backdooring-ci-workflows/ |
| Publication time | Sat, 23 May 2026 01:43:46 +0000 |
| Retrieval time | 2026-05-23T02:02:03.837Z |
| Last seen | 2026-05-23T02:02:03.837Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | nes7P2FOwtJC · 4 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Back to Blog Megalodon: Mass GitHub Repo Backdooring via CI WorkflowsMalware SafeDep Team• May 21, 2026 • 11 min readTable of Contentsfunction l(){const t=document.querySelectorAll(".prose h1, .prose h2"),e=document.getElementById("toc-nav");if(!e||0===t.length)return[];const n=Array.from(t).map(((t,e)=>{const n=t.id||`heading-${e}`;return t.id=n,{id:n,text:t.textContent||"",level:parseInt(t.tagName.charAt(1),10)}}));return e.innerHTML="",n.forEach((t=>{const n=document.createElement("a");n.href=`#${t.id}`,n.textContent=t.text,n.dataset.level=t.level.toString(),n.className=`\n block text-body1-regular font-body transition-colors duration-200 hover:text-primary-300 truncate lg:max-w-[228px]\n ${1===t.level?"pl-0 text-neutral-300 font-medium":"pl-4 text-neutral-400"}\n…
Excerpt limited to ~120 words for fair-use compliance. The full article is at SafeDep - Real-time Open Source Software Supply Chain Security.