Source: unstop Remote / Online
Kurukshetra CTF
Organized by Pimpri Chinchwad College of Engineering (PCCOE), Pune•university•India
DEADLINESep 17, 20265 Days Remaining
EVENT DATESSep 17 - Oct 11Timeline window
PRIZE POOL🏆 Certificates & SwagVerified bounties
Kurukshetra CTF
About the Opportunity
About Kurukshetra CTFOrganized by: Department of CSE (AI & ML), Pimpri Chinchwad College of Engineering, PuneIn association with: AiMSA & IEEEEvent Type: Two-round Cybersecurity & AI ChallengePrize Pool: ₹15,000Team GuidelinesTeam size: 2–4 membersIntercollege teams allowedValid Student ID Card mandatory for all participantsNo individual can be part of multiple teamsTeam composition is final once registeredParticipants must bring their own laptopsUse of AI/LLM tools (ChatGPT, Gemini, Claude) is permittedRound 1: LLM Jailbreak (Online)Date: Saturday, 3rd OctoberTime: 10:00 AM – 10:00 PMExtract a hidden key from three RAG-based LLMs using creative prompting. No prior AI/LLM experience needed — this round tests how well you can craft prompts to bypass a model's restrictions. Scoring is based on speed and accuracy.Only the top 20 teams on the leaderboard qualify for Round 2.Round 2: Capture The Flag (Offline)Date: Sunday, 11th OctoberVenue: Architecture Hall, PCCOESchedule:TimeEvent9:00 AMReporting & ID Verification9:30 AMFinal Call (latecomers disqualified)10:00 AMCTF Begins4:45 PMFinal Submission6:00 PMCTF EndsSpread across 10 domains, each with 2–3 sub-questions to be solved in sequence. Covers logic, decoding, file/website analysis, and core cybersecurity concepts — beginner-friendly with increasing difficulty.Key RulesAll queries only via official Kurukshetra CTF channelsAny attempt to manipulate results/bypass evaluation → immediate disqualificationJudges' decisions are final; no appealsWinners announced only if minimum score threshold is metRules/timelines subject to change at organizers' discretion
Relevant Tech & Domains
AI / Machine LearningCybersecurity
Score Composition (0–100)
Hiring Potential (25%)30%
Organizer Prestige (20%)85%
Accessibility & Format (15%)100%
Data Quality (10%)85%