GitHub Bug Bounty砍半：AI假漏洞報告淹沒資安團隊 | GitHub Bug Bounty Payouts Slashed Amid AI Report Flood

8月 03, 2026

By Kit 小克 | AI Tool Observer | 2026-08-03

🇹🇼 GitHub Bug Bounty砍半：AI假漏洞報告淹沒資安團隊

GitHub Bug Bounty獎金從2026年7月27日起大砍至少一半，公開通道的極重大漏洞獎勵從3萬美元砍到只剩1萬美元。這不是預算緊縮，而是AI生成的假漏洞報告把資安團隊活活淹沒的直接結果——這是2026年最赤裸的AI副作用案例之一：生成一份看起來煞有其事的漏洞報告幾乎零成本，但人工複核、駁回每一份報告的成本完全沒有下降，逼得平台不得不改變遊戲規則。

GitHub Bug Bounty為什麼突然砍半？

簡單說：AI讓垃圾報告的產出速度遠超過人工審核速度。GitHub把公開通道獎金大砍——中危漏洞從5000美元砍到2000美元、高危從2萬砍到5000、極重大漏洞從3萬砍到1萬——同時開了一個邀請制VIP通道,只給有實績的研究員，獎金反而更高（極重大漏洞至少3萬美元起跳）。這等於用經濟誘因，把認真找漏洞的人和丟AI垃圾報告的人分流開來。

AI假漏洞報告問題有多嚴重？

嚴重到curl專案維護者Daniel Stenberg乾脆關掉整個bug bounty計畫——2025年收到的報告裡有效的不到5%。Linux核心創辦人Linus Torvalds也抱怨資安信箱幾乎癱瘓，大量重複報告都是不同人用同樣的AI工具找到同樣（通常是錯的）東西。Google更早在2026年3月就直接不再受理AI生成的漏洞報告，HackerOne則要求所有申請獎金的研究員先做身分驗證才能提交。

對開發者與資安研究員代表什麼？

如果你是靠bug bounty吃飯的資安研究員，這波改革代表：想拿到好獎金，得先靠真本事累積實績才能進VIP通道，光靠丟AI產的報告去碰運氣的路已經被堵死。如果你是專案維護者，這是個訊號——是時候在收件流程加上更嚴格的驗證機制，而不是被動等AI垃圾淹沒信箱。有趣的是，幾個關掉公開通道的專案回報：雜訊消失後，真正有品質的AI輔助報告反而讓有效率回到AI爆發前的水準，甚至更高。

好不好用，試了才知道。

🇺🇸 GitHub Bug Bounty Payouts Slashed Amid AI Report Flood

GitHub Bug Bounty payouts got slashed by at least half starting July 27, 2026 — critical vulnerability rewards on the public track dropped from $30,000 to just $10,000. This isn't a budget cut; it's a direct response to AI-generated vulnerability reports flooding security teams faster than humans can triage them. It's one of the starkest examples yet of an AI side effect: generating a plausible-looking bug report is nearly free, but disproving a fake one still costs the same human hours it always did.

Why Did GitHub Bug Bounty Payouts Get Cut?

Because AI-written slop reports now arrive faster than any team can review them. GitHub cut public-track rewards across the board — medium severity from $5,000 to $2,000, high severity from $20,000 to $5,000, critical from $30,000 to $10,000 — while launching an invite-only VIP tier with higher payouts (critical bugs start at $30,000) reserved for researchers with a proven track record. It's an economic filter separating serious hunters from AI-report spam.

How Bad Is the AI Fake Report Problem?

Bad enough that curl maintainer Daniel Stenberg shut down his entire bug bounty program after fewer than 5% of 2025 submissions turned out valid. Linux creator Linus Torvalds says the kernel's security mailing list has become almost entirely unmanageable, clogged with duplicate reports from different people running the same AI tools on the same, often wrong, findings. Google stopped accepting AI-generated vulnerability reports back in March 2026, and HackerOne now requires identity verification before any bounty submission.

What This Means for Security Researchers and Maintainers

If you hunt bugs for a living, the message is clear: a real track record now gates access to the good money — spraying AI-generated reports and hoping one sticks no longer works on GitHub Bug Bounty's public tier. If you maintain a project, this is a nudge to add stricter intake gating before your own inbox drowns. Interestingly, programs that cut off public noise reported something encouraging: once the spam stopped, genuinely AI-assisted quality reports took its place, with valid rates climbing back to — or past — pre-AI levels.

好不好用，試了才知道 — worth trying before you trust the hype.

Sources / 資料來源

常見問題 FAQ

GitHub Bug Bounty獎金砍多少？

公開通道極重大漏洞獎勵從3萬美元砍到1萬美元，高危從2萬砍到5000，中危從5000砍到2000美元。

為什麼GitHub要砍Bug Bounty獎金？

AI生成的假漏洞報告數量暴增，遠超過資安團隊人工複核的速度，砍獎金並設VIP門檻是為了篩掉垃圾報告。

什麼是Bug Bounty VIP通道？

邀請制通道，只開放給有實績的研究員，獎金比公開通道更高，極重大漏洞至少3萬美元起跳。

除了GitHub還有誰受AI假報告影響？

curl專案關掉整個bug bounty計畫、Linux核心資安信箱幾乎癱瘓、Google從2026年3月起不再受理AI生成的漏洞報告。

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