X by @BullTheoryio

mes(74)

Published in

#archivedcontenthaf

Words

218

Reading

1 min

Listen

Play

X by @BullTheoryio

Source: https://x.com/BullTheoryio/status/2062815682023268821

BREAKING.: Biggest privacy token $ZEC crashed over -50% in the last 24 hours and wiped out $5 Billion from its market cap.

The flaw was hidden inside Zcash's Orchard privacy pool since May 2022 and remained undetected for nearly 4 years despite multiple security audits.

Security researcher Taylor Hornby reportedly used Claude Opus 4.8 AI model to build a working proof-of-concept that successfully generated counterfeit ZEC in local testing on May 29.

Although the bug has now been patched on June 2, The issue is that Zcash's privacy design makes it impossible to know if any fake ZEC was minted before the fix. Unlike Bitcoin, where anyone can verify the supply, Zcash's privacy design makes it impossible to audit whether fake coins were secretly minted before the fix.

The team denies any fake ZEC was minted, but traders are selling on the fear alone. Imagine someone secretly adding extra chips to a casino, but because of the way the system works, neither the casino nor the players could tell which chips were real and which were fake.

Shielded Labs is exploring a proposed Network Upgrade to allow anyone to verify the integrity of Zcash supply.

Jun 5, 2026, 1:35 AM

🔐 Cryptographic Verification

Archived URL: https://x.com/BullTheoryio/status/2062815682023268821

�� CONTENT HASHES:
  SHA-256:  7af4233d2a9bf1342d72b699d41df50a608b8d0e70b3844bd7e8c883e52f374e
  BLAKE2b:  208574d9fd37568b36c5f8086fee33fd3e65b9dc8ac6d574e276ab5fd99dffb6
  MD5:      b694d76b181b1ba04cf89910073942c5

�� TITLE HASHES:
  SHA-256:  c27d4b89741bb8a0f82bb1176b2253a52bedd362744586505b3baf84af6dff28
  BLAKE2b:  c20e295e19a9a35b79df549ce197e0db8074eb96aa245c293cf7a3b1c9041ce7
  MD5:      b31b593cd8793939833b46e5f601312b

�� INTEGRITY HASHES:
  SHA-256:  98f130f03d1a1c1516d051d2442713bb84c1a2eff26a4ba7a926961780c49692
  BLAKE2b:  193e1ed9808652f8fb41be347c8b9ec110c68b1582bf51b879e6caa1709378fb
  MD5:      d79f4b535721dd25a36603217153f7b9