Find an iPhone Bug, Get $2 Million from Tim Cook

Find an iPhone Bug, Get $2 Million from Tim Cook

Apple’s Record-Breaking Security Bounty Program

Apple has announced a massive upgrade to its Security Bounty Program, raising top rewards to unprecedented levels.

---

💰 Reward Highlights

  • Regular vulnerability: Up to $2 million USD (≈ ¥14.2 million RMB)
  • Exceptional vulnerability: Up to $5 million USD (≈ ¥35.6 million RMB) with bonuses
  • Largest bounty currently known in the industry

> _Apple emphasizes the $2 million base prize is for vulnerabilities as dangerous as complex commercial spyware attacks._

image

---

1. From Past Increases to Today’s Record High

Apple’s bounty program history:

  • 2016 — Top prize: $200,000 USD
  • 2019 — Raised to $1 million USD
  • 2025 — Now doubled to $2 million USD

Impact so far:

  • Over $35 million USD (≈ ¥250 million RMB) paid
  • More than 800 security researchers rewarded

Ivan Krstić, Apple VP of Security Engineering & Architecture:

> “We want top researchers tackling the hardest bugs and simulating sophisticated threats — especially those mimicking commercial spyware.”

---

2. Prize Structure: Base + Bonus Tiers

Base Prize

  • Top base prize doubled: $1 million → $2 million USD

Bonus Opportunities

  • Vulnerabilities bypassing Lockdown Mode
  • Bugs found in beta software
  • Stacked bonuses can push payouts to $5 million USD

Category Rewards Examples:

  • Full Gatekeeper bypass (never achieved): $100,000 USD
  • Unauthorized iCloud access: $1 million USD (increased)
  • One‑click WebKit sandbox escape: $300,000 USD
  • Wireless short‑range radio vulnerabilities: up to $1 million USD
image

---

3. Target Flags & Accelerated Payments

Target Flags let researchers:

  • Prove exploitability in top bounty categories (e.g., Remote Code Execution, Transparency/Consent bypass)
  • Qualify for accelerated payout processing
  • Receive payment upon acceptance & verification — even before a fix is released

---

4. Supporting Civil Society Against Spyware

Apple’s initiatives include:

  • 2022 — $10 million cybersecurity grant to help civil groups combat spyware
  • 2025 / iPhone 17
  • Memory Integrity Enforcement to block common exploits
  • Donation of 1,000 iPhone 17 devices to high‑risk civil society members

---

5. Effective Date

---

6. Expanding Opportunities for Security Researchers

Security research today offers:

  • Monetary rewards via bounty programs
  • Content monetization on platforms like AiToEarn官网
  • Cross‑posting to Douyin, Bilibili, Xiaohongshu, YouTube, X (Twitter)
  • AI‑powered publishing for broader reach and sustainable income

---

  • https://9to5mac.com/2025/10/10/apple-announces-major-evolution-of-its-security-bounty-program-2-million-top-award-more/
  • https://www.wired.com/story/apple-announces-2-million-bug-bounty-reward/
  • https://security.apple.com/blog/apple-security-bounty-evolved/

Read more

Xie Saining, Fei-Fei Li, and Yann LeCun Team Up for the First Time! Introducing the New "Hyperception" Paradigm — AI Can Now Predict and Remember, Not Just See

Xie Saining, Fei-Fei Li, and Yann LeCun Team Up for the First Time! Introducing the New "Hyperception" Paradigm — AI Can Now Predict and Remember, Not Just See

Spatial Intelligence & Supersensing: The Next Frontier in AI Leading AI researchers — Fei-Fei Li, Saining Xie, and Yann LeCun — have been highlighting a transformative concept: Spatial Intelligence. This goes beyond simply “understanding images or videos.” It’s about: * Comprehending spatial structures * Remembering events * Predicting future outcomes In essence, a truly

By Honghao Wang
Flexing Muscles While Building Walls: NVIDIA Launches OmniVinci, Outperforms Qwen2.5-Omni but Faces “Fake Open Source” Criticism

Flexing Muscles While Building Walls: NVIDIA Launches OmniVinci, Outperforms Qwen2.5-Omni but Faces “Fake Open Source” Criticism

NVIDIA OmniVinci: A Breakthrough in Multimodal AI NVIDIA has unveiled OmniVinci, a large language model designed for multimodal understanding and reasoning — capable of processing text, visual, audio, and even robotic data inputs. Led by the NVIDIA Research team, the project explores human-like perception: integrating and interpreting information across multiple data

By Honghao Wang