🚨 PREDICT.FUN SECURITY INVESTIGATION: 29 WALLETS SE $397,708 USDT KAISE NIKALE GAYE? BINANCE WALLET USERS KE LIYE BARA SECURITY WARNING
Ek prediction market, 29 affected wallets, hundreds of thousands of dollars aur ek aisa security incident jisne crypto industry ke wallet infrastructure par serious sawalat kharay kar diye.
Research Report | 31 October 2026
INTRODUCTION: CRYPTO KI DUNIYA MEIN EK NAYA SECURITY QUESTION
Cryptocurrency industry mein decentralization, transparency aur financial independence ko sabse bari technological achievements ke taur par present kiya jata hai.
Blockchain technology ka basic promise yeh hai ke users apne funds par khud control rakh saken. Traditional financial institutions ke muqable mein blockchain transactions publicly verify ki ja sakti hain aur digital assets ko kisi bhi waqt transfer kiya ja sakta hai.
Lekin October 2026 mein Predict.fun se related ek security incident ne is promise ke samne ek important question khara kar diya:
Agar user apne wallet ka owner ho, lekin us wallet ki private key kisi third-party service ke through expose ho jaye, toh kya user waqai apne funds par complete control rakhta hai?
27 October 2026 ko Predict.fun ne unauthorized wallet transfers ke bare mein public statement issue kiya. Platform ke mutabiq affected users ke wallets se approximately $400,000 USDT transfer hue thay.
Iske baad blockchain intelligence company Bitquery ne on-chain investigation publish ki.
Investigation mein 22 October aur 27 October ke darmiyan 29 wallets se total 397,708 USDT ki movement trace ki gayi.
Yeh sirf ek ordinary trading loss nahi tha.
Users ne market prediction mein ghalat decision lekar paisa nahi khoya tha. Investigation ke mutabiq unke wallets se unauthorized transfers hui thin.
Aur sabse important technical finding yeh thi ke affected transfers wallet ki owner keys se sign ki gayi thin.
Iska matlab yeh nahi ke Predict.fun ka main trading smart contract necessarily hack hua tha.
Asal security concern wallet access aur private-key exposure se related tha.
PART 1: PREDICT.FUN KYA HAI?
Predict.fun ek prediction market platform hai jo BNB Chain ecosystem mein operate karta hai.
Prediction markets ka basic concept traditional trading se thora different hai.
Yahan users kisi future event ke possible outcomes par positions lete hain.
Misal ke taur par:
Bitcoin ki price upar jayegi ya neeche?
Koi political event kis taraf result dega?
Kisi sports competition ka winner kaun hoga?
Koi particular event specified deadline tak complete hoga ya nahi?
Users available outcomes ke shares purchase karte hain.
Agar unki prediction correct hoti hai toh market ke settlement rules ke mutabiq unhein payout mil sakta hai.
Agar prediction incorrect hoti hai toh unki position ki value lose ho sakti hai.
Prediction markets ka attractive feature yeh hai ke users sirf traditional spot trading par dependent nahi rehte.
Lekin is model ke sath kuch additional technical dependencies bhi hoti hain:
Wallet infrastructure.
Smart contracts.
API connections.
Third-party service providers.
Private-key management.
Market settlement systems.
Blockchain bridges.
Yahi dependencies security incident ko samajhne ke liye important hain.
Predict.fun Binance Wallet ke through bhi accessible raha hai.
Is wajah se incident ki news sirf ek independent prediction platform tak limited nahi rahi. Binance Wallet ecosystem ke users ke liye bhi iski relevance barh gayi.
Lekin ek distinction samajhna zaroori hai:
Kisi platform ka Binance Wallet ke through accessible hona automatically yeh prove nahi karta ke Binance ka core exchange infrastructure hack hua hai.
Dono technical systems ko alag investigate karna zaroori hai.
PART 2: 27 OCTOBER 2026 KO KYA HUA?
27 October ko Predict.fun ke users ne unauthorized wallet transfers ki reports share karna shuru ki.
Kuch users ne bataya ke unke accounts mein maujood USDT unki permission ke baghair transfer ho gaye.
Shuru mein incident ko approximately $400,000 ka loss bataya gaya.
Predict.fun ne bhi public statement mein approximately 400,000 USDT ke unauthorized transfers acknowledge kiye.
Platform ke preliminary investigation ke mutabiq uski API documentation website compromise hui ho sakti thi.
Yeh website third-party provider par hosted thi.
Predict.fun ne precautionary measure ke taur par API documentation website offline kar di.
Platform ne affected users ko direct losses ka 100% reimbursement dene ka commitment bhi diya.
Iske sath ek complete post-mortem publish karne ka wada kiya gaya, jismein incident ki technical details aur future security improvements explain karne ki baat thi.
Lekin Bitquery ki investigation ne incident ka ek aur important aspect reveal kiya.
Theft sirf 27 October ko shuru nahi hui thi.
Blockchain records ke mutabiq pehli wave 22 October ko hi start ho chuki thi.
Yani public disclosure se paanch din pehle wallets se funds transfer kiye ja rahe thay.
PART 3: PEHLI WAVE — 22 OCTOBER
Bitquery ki investigation ke mutabiq 22 October ko chhe wallets se approximately 125,029 USDT transfer hue.
Yeh incident ki pehli identified wave thi.
Is wave ki kuch important details:
Affected wallets: 6
Total amount: 125,029 USDT
Date: 22 October 2026
Blockchain: BNB Chain
Investigation mein pehle chhoti test transactions dekhi gayin.
Ek wallet se approximately one ya two dollar ke small transfers kiye gaye.
Is tarah ke small transfers security investigation mein important ho sakte hain, kyun ke attacker pehle transaction process test kar sakta hai.
Iske baad larger transfers execute hue.
Reports ke mutabiq ek transfer mein approximately 82,000 USDT move kiye gaye.
Yeh amount incident ke sabse important individual transactions mein se ek tha.
Sabse disturbing point yeh tha ke 22 October ki wave ke bare mein public reporting 27 October ke incident se pehle saamne nahi aayi thi.
Iska matlab users aur wider crypto community ko shuru mein incident ki complete timeline ka pata nahi tha.
PART 4: DOOSRI WAVE — 27 OCTOBER
27 October ko incident ka doosra aur bara phase saamne aaya.
Is phase mein approximately 272,679 USDT transfer hue.
Bitquery ki investigation ke mutabiq 19 wallets is wave mein affected hue.
Sabse concerning detail transaction ki speed thi.
19 wallets se large-scale transfers approximately 34 minutes ke andar execute kiye gaye.
Kuch transactions ke darmiyan sirf chand minutes ka difference tha.
Is pattern se coordinated activity ka indication milta hai.
Investigation mein dekha gaya ke funds pehle fresh intermediary addresses par move hue.
Uske baad unhein cross-chain bridges ke through Ethereum network par transfer kiya gaya.
Yahan ek technical point important hai:
Blockchain par transaction ka visible hona aur transaction ko authorize karne wale individual ki identity establish karna do alag cheezein hain.
On-chain data yeh show kar sakta hai ke funds kis address se nikle aur kahan pohnche.
Lekin sirf wallet address dekh kar attacker ki real-world identity automatically identify nahi hoti.
Isliye incident ke technical findings ko verified transaction evidence aur suspected attack pathway mein divide karna zaroori hai.
PART 5: TOTAL KITNA LOSS HUA?
Bitquery ki investigation ke mutabiq dono waves ka total:
22 October:
125,029 USDT
27 October:
272,679 USDT
Combined total:
397,708 USDT
Yani approximately $397,708 ka total wallet outflow.
Yeh amount Predict.fun ke approximately $400,000 ke public estimate ke qareeb hai.
Ek additional development bhi report hua.
Predict.fun ke public statement ke approximately ek ghante baad ek aur wallet se 4,900 USDT transfer hone ki report saamne aayi.
Is additional transfer ko original 397,708 USDT ke two-wave calculation se alag samajhna chahiye.
Yeh distinction important hai, warna total affected funds aur wallet count ke bare mein confusion ho sakti hai.
PART 6: SABSE BARA SAWAL — PRIVATE KEY KAISE EXPOSE HUI?
Ab hum incident ke sabse important technical point par aate hain.
Private key cryptocurrency wallet ki sabse sensitive information hoti hai.
Yeh ek secret cryptographic credential hota hai jo wallet owner ko transactions authorize karne ki ability deta hai.
Agar kisi attacker ke paas valid private key aa jaye toh woh wallet se transaction sign kar sakta hai.
Blockchain network transaction ki signature verify karta hai.
Agar signature valid ho aur transaction baqi protocol rules ko satisfy karti ho toh transaction execute ho sakti hai.
Yahan ek important difference hai:
Blockchain yeh verify karti hai ke transaction authorized cryptographic key se sign hui hai.
Blockchain automatically yeh verify nahi kar sakti ke key use karne wala shakhs asal account owner tha ya koi unauthorized person.
Isi wajah se private-key compromise crypto security ke sabse serious risks mein se ek hai.
Predict.fun incident mein Bitquery ne report kiya ke affected wallets se hone wali drains owner keys se signed thin.
Is investigation mein 33 drain transactions ke dauran Predict.fun ke market contracts call nahi hue.
Yeh finding indicate karti hai ke attack ka visible transaction path platform ke trading smart contracts ko directly exploit karne ke bajaye wallet-level authorization se related tha.
Lekin isse yeh prove nahi hota ke platform ke har doosre component mein koi vulnerability nahi thi.
PART 7: API DOCUMENTATION WEBSITE KA KYA ROLE THA?
Predict.fun ne apni preliminary investigation mein third-party hosted API documentation website ke possible compromise ka zikr kiya.
Yeh is incident ka sabse important unanswered question hai.
API ka full form Application Programming Interface hai.
Simple alfaaz mein API ek technical communication system hai jo do software applications ko aapas mein connect karta hai.
Crypto trading mein APIs ka use bohat common hai.
Misal ke taur par:
Automated trading bots.
Market data applications.
Portfolio management tools.
Trading dashboards.
Algorithmic trading systems.
Automated order execution.
Kuch advanced trading systems ko wallet ke sath interact karne ke liye additional permissions ya signing credentials ki zaroorat hoti hai.
Bitquery ki investigation ke mutabiq Predict.fun ke API traders ko bot trading ke liye wallet owner key export karne ka option diya jata tha.
Yahan se ek serious security risk paida hota hai.
Agar user apni owner key kisi external tool, application ya API workflow mein enter karta hai toh us key ki security sirf blockchain network par depend nahi karti.
Uska depend karta hai:
External website ki security par.
API documentation ki authenticity par.
User ke browser ki security par.
Third-party infrastructure par.
Key storage aur handling process par.
Access permissions par.
Agar in systems mein se koi compromise ho jaye toh private-key exposure ka risk paida ho sakta hai.
Lekin yahan responsible reporting zaroori hai.
Predict.fun ne API documentation website ko possible entry point bataya tha.
Abhi available evidence se yeh conclusively prove nahi hota ke attacker ne exactly kis technical process se private keys hasil ki thin.
Isliye API documentation compromise ko suspected pathway kehna chahiye, final proven root cause nahi.
PART 8: SMART CONTRACT HACK AUR WALLET HACK MEIN FARQ
Crypto users aksar har security incident ko smart contract hack keh dete hain.
Lekin technical reality isse zyada complicated hai.
Smart contract ek blockchain-based program hota hai.
Yeh predefined rules ke mutabiq transactions aur digital assets ke interactions manage karta hai.
Agar smart contract mein vulnerability ho toh attacker us vulnerability ka misuse karke funds steal kar sakta hai.
Lekin wallet compromise ek different situation hai.
Ismein attacker wallet ki signing authority hasil kar leta hai.
Dono attacks ke outcomes similar ho sakte hain:
User ke funds chalay jate hain.
Lekin technical method different hota hai.
Predict.fun incident mein Bitquery ki investigation ne report kiya ke 33 drain transactions mein Predict.fun contracts call nahi hue.
Yeh finding is incident ko ordinary smart-contract exploit se different banati hai.
Iska matlab platform ki security investigation ko sirf smart contracts tak limited nahi rehna chahiye.
Wallet infrastructure, external websites, developer tools aur signing credentials bhi investigate karne chahiye.
PART 9: FUNDS KAHAN GAYE?
Incident ki investigation ka ek important part stolen funds ka movement trace karna tha.
Blockchain ki transparency ki wajah se investigators addresses aur transactions follow kar sakte hain.
Bitquery ke mutabiq funds BNB Chain se Ethereum network par move kiye gaye.
Is process mein multiple cross-chain services ka use hua.
Reported services mein:
Relay
LI.FI
Across
Yeh services different blockchain networks ke darmiyan asset movement facilitate karti hain.
Simple example:
Agar kisi user ke paas BNB Chain par USDT ho aur usay Ethereum par ETH receive karna ho toh bridge ya cross-chain routing service is process ko facilitate kar sakti hai.
Investigation ke mutabiq stolen funds intermediary addresses se move hote hue Ethereum par ETH mein convert hue.
Yeh process funds ki original transaction trail ko follow karna comparatively complicated bana sakta hai.
Lekin cross-chain transfer ka matlab yeh nahi ke funds blockchain se completely disappear ho gaye.
Har blockchain par transaction records apni jagah maujood rehte hain.
PART 10: TORNADO CASH KA CONNECTION
Bitquery ki investigation ka ek aur important finding Tornado Cash se related tha.
Investigation ke mutabiq approximately 166.8 ETH Tornado Cash mein deposit hue.
Tornado Cash ek cryptocurrency mixing protocol hai.
Iska purpose transactions ke source aur destination ke darmiyan direct public link ko obscure karna hai.
Privacy technology ka apna legitimate use case bhi ho sakta hai.
Lekin stolen funds ke cases mein mixers investigators ke liye tracing ko difficult bana sakte hain.
Is incident mein investigators ne report kiya ke stolen funds ka ek significant portion Ethereum par move hone ke baad Tornado Cash tak pohncha.
Ek additional wallet drain ke 4,900 USDT ko Railgun ki taraf move hone ki report bhi saamne aayi.
Railgun bhi privacy-focused protocol hai.
Yahan ek important clarification:
Tornado Cash ya Railgun ka naam transaction trail mein aana apne aap mein yeh establish nahi karta ke un protocols ke developers ya operators theft mein involved thay.
Yeh distinction investigative journalism mein bohat important hai.
Transaction destination aur criminal responsibility ko alag rakhna chahiye.
PART 11: KYA BOTS BHI AFFECTED HUE?
Prediction markets mein automated trading kaafi common hai.
Bots market prices monitor karte hain aur predefined conditions ke mutabiq trades execute karte hain.
Bitquery ki investigation ne affected wallets ki trading activity bhi examine ki.
Investigation ke mutabiq kuch wallets ne incident se pehle bohat zyada trading activity show ki.
12 wallets ne previous week mein 1,000 se zyada trades kiye thay.
Kuch accounts ki activity automated trading systems se consistent thi.
Lekin har affected wallet bot ka tha, yeh kehna correct nahi hoga.
Investigation mein light trading activity wale accounts bhi affected nazar aaye.
Isse ek important possibility saamne aati hai:
Risk sirf professional traders tak limited nahi tha.
Agar koi ordinary user bhi API integration use karta hai aur uski owner key kisi external workflow mein expose hoti hai toh usay bhi security risk face karna par sakta hai.
Yani automated trading ka use na karna bhi automatically har wallet risk ko eliminate nahi karta.
PART 12: SABSE ZYADA LOSS KISKA HUA?
Investigation ke mutabiq affected wallets ke losses equal nahi thay.
Kuch accounts ne relatively small amounts lose kiye.
Jabke kuch wallets se tens of thousands of USDT transfer hue.
Sabse bara reported individual loss approximately $109,000 tha.
Bitquery ke mutabiq top five affected wallets ne total stolen funds ka approximately 73% represent kiya.
Median loss approximately 4,845 USDT report hua.
Yeh numbers show karte hain ke incident mein kuch large-balance accounts disproportionately affected hue.
Iska ek important implication hai.
Wallet security ka risk sirf account ki trading volume se determine nahi hota.
Ek user jo bohat kam trades karta hai lekin wallet mein large balance rakhta hai, woh bhi serious target ban sakta hai.
PART 13: PREDICT.FUN KA RESPONSE
Incident ke public hone ke baad Predict.fun ne several precautionary steps announce kiye.
Sabse pehle API documentation website ko offline kiya gaya.
Platform ne kaha ke website third-party provider par hosted thi aur possible compromise ki investigation ki ja rahi thi.
Doosra important step reimbursement commitment tha.
Predict.fun ne affected users ke direct losses ka 100% reimbursement dene ka promise kiya.
Teesra step detailed post-mortem publish karne ka commitment tha.
Post-mortem ek technical report hoti hai jismein incident ki timeline, root cause, impact aur corrective actions explain kiye jate hain.
Lekin reimbursement promise aur actual reimbursement complete hona do different milestones hain.
Users ko yeh verify karna chahiye ke:
Kitne users affected hue?
Har user ka verified loss kitna tha?
Reimbursement kis date ko complete hui?
Funds kis source se pay kiye gaye?
Kya future API integrations ke security controls change hue?
Kya compromised credentials revoke kiye gaye?
Kya independent security audit conduct hua?
Sirf public statement se in tamam sawalat ka jawab nahi milta.
PART 14: KYA BINANCE BHI DIRECTLY HACK HUA?
Yeh woh sawal hai jo Binance Wallet users ke liye sabse important hai.
Predict.fun Binance Wallet ke through accessible raha hai.
Lekin kisi third-party application ka Binance Wallet mein available hona aur Binance exchange ke core systems ka compromise hona ek hi baat nahi.
In dono ko mix karna misinformation paida kar sakta hai.
Available investigation Predict.fun ke affected user wallets aur owner-key authorization par focus karti hai.
Is evidence se yeh establish nahi hota ke Binance exchange ke customer balances ya core exchange infrastructure isi attack mein directly compromise hue.
Isi tarah Binance Predict ke BTC Up or Down 5m market par Orders Not Allowed ka error aana bhi is theft ka direct proof nahi hai.
Agar Binance ne kisi prediction market ko temporarily pause kiya hai toh uski exact reason official announcement ya platform confirmation se establish honi chahiye.
Ek incident ki timing aur doosre incident ki timing mil jana causation ka proof nahi hota.
PART 15: CRYPTO USERS KE LIYE SECURITY LESSONS
Is incident se ordinary crypto users ko kuch important lessons milte hain.
1. PRIVATE KEY KABHI SHARE NA KAREIN
Private key wallet ka control credential hai.
Agar koi website ya unknown application aapse private key export karne ko kahe toh usay serious security decision samjhein.
2. API PERMISSIONS CHECK KAREIN
Har API permission ka purpose samajhna zaroori hai.
Read-only access aur transaction-signing authority mein bohat bara difference hota hai.
3. THIRD-PARTY WEBSITES PAR BLIND TRUST NA KAREIN
Kisi platform ki official website ke sath connected external documentation website bhi security risk create kar sakti hai.
4. TRADING WALLET AUR LONG-TERM HOLDING WALLET ALAG RAKHEIN
Agar aap bots ya automated systems use karte hain toh long-term assets ko us wallet mein rakhna avoid karein jo external trading tools ke sath connected ho.
5. COMPROMISED KEY KO EXPOSED SAMJHEIN
Agar kisi wallet ki private key compromise hone ka suspicion ho toh sirf password change karna sufficient nahi.
Wallet ki signing authority ko address karna aur remaining assets ko safe wallet mein move karna zaroori ho sakta hai.
6. WALLET APPROVALS REVIEW KAREIN
Users ko apne token approvals aur connected applications regularly review karne chahiye.
Unknown permissions ko revoke karna useful security practice hai.
Lekin yaad rakhein: approval revoke karne se compromised private key safe nahi ho jati.
7. OFFICIAL SECURITY UPDATES FOLLOW KAREIN
Social media par circulating screenshots aur rumours ko final evidence na samjhein.
Official statements, blockchain transaction records aur independent investigations ko compare karein.
PART 16: HISTORICAL COMPARISON — CRYPTO KI SUPPLY-CHAIN SECURITY
Crypto security ka problem sirf smart contracts tak limited nahi raha.
Traditional software industry mein bhi third-party dependencies aur developer infrastructure compromise hone ke incidents report hote rahe hain.
2020 ka SolarWinds incident iska ek historical example hai.
Us incident mein attackers ne software supply chain ko target kiya tha.
Is comparison ka purpose yeh kehna nahi ke Predict.fun aur SolarWinds attacks technically identical thay.
Dono incidents ka scale aur method different tha.
Lekin dono ek broader security principle highlight karte hain:
Aapka primary system secure ho sakta hai, lekin agar us system se connected external infrastructure compromise ho jaye toh risk phir bhi create ho sakta hai.
Crypto ecosystem mein yeh risk aur sensitive ho jata hai kyun ke private keys direct financial authority provide karti hain.
Isliye external documentation, SDKs, API services aur wallet integrations ko security architecture ka important hissa samajhna chahiye.
PART 17: DECENTRALIZATION KA PARADOX
Crypto industry mein decentralization ko aksar complete independence ke taur par describe kiya jata hai.
Lekin real-world systems mein users multiple centralized aur decentralized dependencies use karte hain.
Misal ke taur par:
Wallet provider.
Cloud hosting company.
API documentation provider.
RPC infrastructure.
Cross-chain bridges.
Trading bot services.
Authentication providers.
Agar user apni wallet key external service ko provide karta hai toh control ka practical structure complicated ho jata hai.
Blockchain decentralized ho sakti hai.
Lekin us blockchain tak access karne wala software aur infrastructure centralized ho sakta hai.
Yeh Predict.fun incident ka sabse important strategic lesson hai.
Independence ka claim tabhi meaningful hai jab user apne funds ko external dependencies ke compromise hone ki situation mein bhi protect kar sake.
PART 18: PREDICT.FUN KO AB KIN SAWALAT KE JAWAB DENE CHAHIYE?
Incident ke baad platform ke liye sirf reimbursement promise karna sufficient nahi hoga.
Users ko technical transparency bhi chahiye.
Mere nazdeek ye sawalat sabse important hain:
1. Root cause kya tha?
Kya API documentation website par malicious code inject hua tha?
Ya kisi aur external dependency ke through owner keys expose hui thin?
2. Private keys kis tarah access hui?
Kya users ne keys documentation website par enter ki thin?
Kya browser-based compromise hua?
Ya koi different technical pathway tha?
3. Kya affected users ko identify kar liya gaya hai?
Kya platform ke paas complete affected-wallet list hai?
4. Kya sab affected users ko reimbursement mil chuki hai?
Kya reimbursement transaction hashes publicly verify kiye ja sakte hain?
5. Kya existing API users ko notify kiya gaya?
Kya unki existing credentials revoke kar di gayi hain?
6. Kya independent security audit conduct hua?
Kya future mein API documentation aur wallet signing architecture ka external audit publish hoga?
7. Kya users API access ke baghair bhi platform use kar sakte hain?
Agar koi user third-party bot use nahi karna chahta toh kya uske liye safer alternative available hai?
Yeh sawalat platform ki long-term credibility ke liye important hain.
PART 19: FINAL INVESTIGATIVE VERDICT
Predict.fun incident ko sirf approximately $400,000 ki theft keh kar ignore nahi karna chahiye.
Is incident ki importance uske technical pattern mein hai.
29 wallets se 397,708 USDT ki transfers two waves mein execute hui.
Pehli identified wave 22 October ko hui.
Doosri wave 27 October ko saamne aayi.
On-chain investigation ke mutabiq affected transfers owner keys se sign ki gayi thin.
33 drain transactions mein Predict.fun market contracts call nahi hue.
Funds cross-chain services ke through Ethereum tak pohnche aur 166.8 ETH Tornado Cash mein deposit hue.
Ek additional 4,900 USDT drain ki report platform ke public statement ke baad bhi saamne aayi.
Predict.fun ne approximately $400,000 ke incident ko acknowledge kiya, possible third-party API documentation compromise ka zikr kiya aur affected users ko full reimbursement ka commitment diya.
Lekin final technical root cause aur reimbursement completion ko independently verify karna abhi bhi zaroori hai.
Is incident se ek baat clear hoti hai:
Crypto mein sirf token ownership kaafi nahi.
Private-key security, third-party dependencies aur transaction authorization bhi utne hi important hain.
Agar blockchain par aapke funds maujood hain lekin unko authorize karne wali key kisi unauthorized person ke paas chali jaye, toh decentralization ka practical benefit seriously affect ho sakta hai.
Aakhri aur sabse important sawal:
Agar kal kisi prediction market ka API, wallet infrastructure ya third-party service compromise ho jaye, toh kya users apne funds, wallet identity aur trading history ko lose kiye baghair kisi doosre platform par migrate ya fork kar sakte hain?
Crypto ki asli independence ka test sirf yeh nahi ke aap kitni asani se platform join kar sakte hain.
Asli test yeh hai ke crisis ke waqt aap kitni asani se us platform se exit kar sakte hain.
RESEARCH SOURCES
Bitquery — Predict.fun wallet-drain on-chain investigation, 27 October 2026.
Predict.fun — Official statement regarding approximately 400,000 USDT unauthorized transfers, 27 October 2026.
Crypto.news — Predict.fun confirms unauthorized transfers and reimbursement commitment.
TokenPost — Investigation into the timeline of the wallet transfers.
iTokenly — Predict.fun incident record and technical summary.
Research note: Is report mein on-chain verified findings, platform ke preliminary statements aur analytical conclusions ko alag rakha gaya hai. API documentation compromise ko possible cause kaha gaya hai; complete technical root cause independently established nahi hai.