{
 "name": "YFarmX Bounty Economics",
 "homepage": "https://yfarmx.com/tools/bounty-economics/",
 "updated": "2026-09-19",
 "source": "Seven platforms, 1,178 public programmes. HackerOne, Bugcrowd, Intigriti, YesWeHack and Federacy from the arkadiyt/bounty-targets-data mirror (MIT), pulled 11 September 2026; Immunefi (immunefi.com/public-api/bounties.json) and Cantina (cantina.xyz/api/v0/bounties) read directly on 19 September 2026. Every aggregate is computed by YFarmX from those files and counts machine-readable assets, never programme scope.",
 "license": "CC BY 4.0",
 "licenseUrl": "https://creativecommons.org/licenses/by/4.0/",
 "attribution": "YFarmX, https://yfarmx.com",
 "measuredAt": "2026-09-19T20:28:11Z",
 "method": "Percentiles use linear interpolation over the programmes publishing a non-zero ceiling; medians are the middle value; HackerOne response figures are medians over the programmes reporting each metric, with the count beside each. Live on Immunefi means not paused, not invite-only, no past end date, no future launch date; live on Cantina means status live.",
 "firstSeenBasis": "Each programme row carries a date and its basis. platform-launch: the programme's own launch date as published by Immunefi (170 rows). platform-timeframe: the start of the programme's stated timeframe as published by Cantina (51 rows). first-indexed: HackerOne, Bugcrowd, Intigriti, YesWeHack and Federacy publish no per-programme date in the mirror, so those 957 rows carry 11 September 2026, the day of the pull that brought them into this index. A first-indexed date is when YFarmX first saw the programme, never when the programme started.",
 "programmeCount": 1178,
 "topCeilings": [
  {
   "platform": "cantina",
   "programme": "Uniswap",
   "ceiling": 15500000,
   "currency": "USDC",
   "url": "https://cantina.xyz/bounties/f9df94db-c7b1-434b-bb06-d1360abdd1be"
  },
  {
   "platform": "immunefi",
   "programme": "LayerZero",
   "ceiling": 15000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/layerzero/information/"
  },
  {
   "platform": "immunefi",
   "programme": "Sky",
   "ceiling": 10000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/sky/information/"
  },
  {
   "platform": "immunefi",
   "programme": "Stargate",
   "ceiling": 10000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/stargate/information/"
  },
  {
   "platform": "cantina",
   "programme": "Reserve Protocol Bug Bounty",
   "ceiling": 10000000,
   "currency": "USDC",
   "url": "https://cantina.xyz/bounties/3709ca85-4050-407e-9b36-51f5d5ea9b00"
  },
  {
   "platform": "immunefi",
   "programme": "USDT0",
   "ceiling": 6000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/usdt0/information/"
  },
  {
   "platform": "immunefi",
   "programme": "Spark",
   "ceiling": 5000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/sparklend/information/"
  },
  {
   "platform": "immunefi",
   "programme": "GMX",
   "ceiling": 5000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/gmx/information/"
  },
  {
   "platform": "cantina",
   "programme": "Coinbase",
   "ceiling": 5000000,
   "currency": "USDC",
   "url": "https://cantina.xyz/bounties/55316f42-3c5e-4746-9bd0-0f18dcbc344b"
  },
  {
   "platform": "cantina",
   "programme": "Polymarket",
   "ceiling": 5000000,
   "currency": "USDC",
   "url": "https://cantina.xyz/bounties/ff945ca2-2a6e-4b83-b1b6-7a0cd3b94bea"
  },
  {
   "platform": "immunefi",
   "programme": "Olympus",
   "ceiling": 3333333,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/olympus/information/"
  },
  {
   "platform": "bugcrowd",
   "programme": "OpenSea Managed Bug Bounty Program",
   "ceiling": 3000000,
   "currency": "USD",
   "url": "https://bugcrowd.com/engagements/opensea"
  },
  {
   "platform": "immunefi",
   "programme": "Ethena",
   "ceiling": 3000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/ethena/information/"
  },
  {
   "platform": "immunefi",
   "programme": "Chainlink",
   "ceiling": 3000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/chainlink/information/"
  },
  {
   "platform": "immunefi",
   "programme": "Hyperlane",
   "ceiling": 2500000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/hyperlane/information/"
  },
  {
   "platform": "cantina",
   "programme": "Morpho",
   "ceiling": 2500000,
   "currency": "USDC",
   "url": "https://cantina.xyz/bounties/35a5f0a1-2ffd-432c-8f3b-77d169add8c3"
  },
  {
   "platform": "immunefi",
   "programme": "Optimism",
   "ceiling": 2000042,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/optimism/information/"
  },
  {
   "platform": "immunefi",
   "programme": "Gnosis Chain",
   "ceiling": 2000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/gnosischain/information/"
  },
  {
   "platform": "immunefi",
   "programme": "Arbitrum",
   "ceiling": 2000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/arbitrum/information/"
  },
  {
   "platform": "immunefi",
   "programme": "Rhino.fi",
   "ceiling": 2000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/rhinofi/information/"
  },
  {
   "platform": "immunefi",
   "programme": "Lido",
   "ceiling": 2000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/lido/information/"
  },
  {
   "platform": "cantina",
   "programme": "Pendle Bounty",
   "ceiling": 2000000,
   "currency": "USDC",
   "url": "https://cantina.xyz/bounties/fb1f1c54-0cb9-4201-8791-fb1e78e6e600"
  },
  {
   "platform": "cantina",
   "programme": "Ondo Perps",
   "ceiling": 1500000,
   "currency": "USDC",
   "url": "https://cantina.xyz/bounties/5ffa2a58-2121-4986-b318-43f8ba9a559e"
  },
  {
   "platform": "immunefi",
   "programme": "Beanstalk",
   "ceiling": 1100000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/beanstalk/information/"
  },
  {
   "platform": "immunefi",
   "programme": "Balancer Foundation",
   "ceiling": 1000000,
   "currency": "USD",
   "url": "https://immunefi.com/bug-bounty/balancer/information/"
  }
 ],
 "history": [
  {
   "measuredAt": "2026-09-11",
   "cantinaLive": 52,
   "immunefiLive": 175,
   "immunefiAssets": 5807,
   "impactTriples": 897,
   "cantinaProseOnly": 16,
   "mirrorProgrammes": 957
  },
  {
   "measuredAt": "2026-09-19",
   "cantinaLive": 51,
   "immunefiLive": 170,
   "immunefiAssets": 5843,
   "impactTriples": 888,
   "cantinaProseOnly": 14,
   "mirrorProgrammes": 957
  }
 ],
 "rules": {
  "updated": "2026-09-19",
  "source": "Programme policy documents. Repository policies are read from their own files at raw.githubusercontent.com; commercial platform and vendor policies are read at the published URL. Every row carries the date its policy page was last opened and the quotation as served.",
  "buckets": {
   "banned": "AI-assisted submissions banned outright",
   "disclosure-required": "Allowed, with the AI use declared",
   "responsibility": "Allowed, with the reporter accountable for validation",
   "penalised": "Unverified or fabricated output penalised"
  },
  "programmes": [
   {
    "id": "curl",
    "programme": "curl",
    "operator": "curl project",
    "type": "oss",
    "buckets": [
     "disclosure-required",
     "penalised"
    ],
    "ruleSummary": "Declaring AI use is mandatory; made-up reports draw an immediate ban. The paid bounty ended on 31 January 2026.",
    "quote": "If you asked an AI tool to find problems in curl, you must make sure to reveal this fact in your report.",
    "policyUrl": "https://raw.githubusercontent.com/curl/curl/master/docs/CONTRIBUTE.md",
    "policyFormat": "repository file",
    "policyDated": "2026-01-31",
    "lastOpened": "2026-09-12",
    "sanction": "We ban users immediately who submit made up fake reports to the project.",
    "maxPayoutUsd": 0,
    "confidence": "CONFIRMED"
   },
   {
    "id": "linux-kernel",
    "programme": "Linux kernel",
    "operator": "kernel security team",
    "type": "oss",
    "buckets": [
     "disclosure-required"
    ],
    "ruleSummary": "A bug found with AI assistance is treated as already public, and the assistant is told to read the policy and follow a nine-step procedure before reporting.",
    "quote": "If you resorted to AI assistance to identify a bug, you must treat it as public",
    "policyUrl": "https://raw.githubusercontent.com/torvalds/linux/master/Documentation/process/security-bugs.rst",
    "policyFormat": "repository file",
    "policyDated": null,
    "lastOpened": "2026-09-12",
    "sanction": "Embargo handling is withdrawn for the report: the team's stated experience is that model-found bugs surface across several researchers on the same day.",
    "maxPayoutUsd": 0,
    "confidence": "CONFIRMED"
   },
   {
    "id": "django",
    "programme": "Django",
    "operator": "Django Software Foundation",
    "type": "oss",
    "buckets": [
     "disclosure-required",
     "penalised"
    ],
    "ruleSummary": "Disclose which tools were used and for what, verify the issue is real, avoid fabricated code; a report that reads as unverified AI output is closed without response.",
    "quote": "Reports that appear to be unverified AI output will be closed without response. Repeated low-quality submissions may result in a ban from future reporting.",
    "policyUrl": "https://raw.githubusercontent.com/django/django/main/docs/internals/security.txt",
    "policyFormat": "repository file",
    "policyDated": null,
    "lastOpened": "2026-09-12",
    "sanction": "Closed without response; repeated low-quality submissions may result in a ban.",
    "maxPayoutUsd": 0,
    "confidence": "CONFIRMED"
   },
   {
    "id": "python",
    "programme": "CPython (PSRT)",
    "operator": "Python Software Foundation",
    "type": "oss",
    "buckets": [
     "responsibility",
     "penalised"
    ],
    "ruleSummary": "Batches of findings and LLM searches are validity-checked by the reporter before submission; reports are a few sentences of plain text.",
    "quote": "When reporting large numbers or \"batches\" of vulnerabilities or searching for potential vulnerabilities using an LLM, you as a reporter must verify the factual validity (such as whether APIs have been hallucinated) of the content in all reports prior to submission to the PSRT.",
    "policyUrl": "https://raw.githubusercontent.com/python/devguide/main/security/policy.rst",
    "policyFormat": "repository file",
    "policyDated": null,
    "lastOpened": "2026-09-12",
    "sanction": "Repeated failure to respect the security policy will result in future reports being rejected, or the reporter being banned from the python GitHub organization.",
    "maxPayoutUsd": 0,
    "confidence": "CONFIRMED"
   },
   {
    "id": "microsoft",
    "programme": "Microsoft Copilot Bounty",
    "operator": "Microsoft Security Response Center",
    "type": "vendor",
    "buckets": [
     "responsibility"
    ],
    "ruleSummary": "The bounty guidelines set the bar at severity, reproducibility and report quality and leave the tooling choice to the researcher; Microsoft's AI rule proper grades AI systems as the target in its severity classification for AI systems.",
    "quote": "from $250 up to $30,000 USD",
    "policyUrl": "https://www.microsoft.com/en-us/msrc/bounty-ai",
    "policyFormat": "web page with a dated revision history",
    "policyDated": "2026-04-07",
    "lastOpened": "2026-09-11",
    "sanction": "Stated at the level of report quality: a submission that fails reproducibility or severity criteria is ineligible.",
    "maxPayoutUsd": 30000,
    "confidence": "CONFIRMED"
   },
   {
    "id": "hackerone",
    "programme": "HackerOne",
    "operator": "HackerOne",
    "type": "platform",
    "buckets": [
     "responsibility",
     "penalised"
    ],
    "ruleSummary": "AI use is permitted and encouraged across the workflow, the member stays fully accountable for validating every output, and a hackbot may run within a programme's policy but never fully autonomously.",
    "quote": "Hackbots must not operate in a fully autonomous manner",
    "policyUrl": "https://www.hackerone.com/policies/code-of-conduct",
    "policyFormat": "web page",
    "policyDated": "2026-07-27",
    "lastOpened": "2026-09-19",
    "sanction": "Misuse of hackbots will result in potential sanctions against their hackbot operator.",
    "maxPayoutUsd": null,
    "confidence": "CONFIRMED"
   },
   {
    "id": "bugcrowd",
    "programme": "Bugcrowd",
    "operator": "Bugcrowd",
    "type": "platform",
    "buckets": [
     "responsibility",
     "penalised"
    ],
    "ruleSummary": "GenAI-assisted reports are manually reviewed and validated before submission, unreviewed ones rejected; ten consecutive invalid reports trigger a review, and unvalidated automated output earns a 30-day suspension.",
    "quote": "You manually review and validate any vulnerability report you've created with the help of GenAI tools before submitting it",
    "policyUrl": "https://www.bugcrowd.com/resources/hacker-resources/code-of-conduct/",
    "policyFormat": "web page",
    "policyDated": "2025-11-25",
    "lastOpened": "2026-09-19",
    "sanction": "Accounts that submit ten or more consecutive invalid reports are reviewed; where the submissions are attributable to automated or AI-generated activity without sufficient validation, the account may receive a 30-day suspension (policy post of 10 March 2026).",
    "maxPayoutUsd": null,
    "confidence": "CONFIRMED"
   },
   {
    "id": "intigriti",
    "programme": "Intigriti",
    "operator": "Intigriti",
    "type": "platform",
    "buckets": [
     "disclosure-required",
     "penalised"
    ],
    "ruleSummary": "Personally identify and verify the vulnerability, and disclose when and how AI was used; apparent unverified AI output is closed without response.",
    "quote": "Disclose when and how AI was used in your submission",
    "policyUrl": "https://kb.intigriti.com/en/articles/5247238-community-code-of-conduct",
    "policyFormat": "web page",
    "policyDated": "2026-03-09",
    "lastOpened": "2026-09-19",
    "sanction": "Reports that appear to be unverified AI output, contain fabricated elements, or demonstrate a lack of technical understanding may be closed without response.",
    "maxPayoutUsd": null,
    "confidence": "CONFIRMED"
   },
   {
    "id": "yeswehack",
    "programme": "YesWeHack",
    "operator": "YesWeHack",
    "type": "platform",
    "buckets": [
     "responsibility",
     "penalised"
    ],
    "ruleSummary": "A report built on an AI-generated hypothesis without manual verification counts as programme spamming, scored against a seven-point ethical counter.",
    "quote": "Spamming a program by submitting reports based on assumptions, AI-generated hypotheses without manual verification",
    "policyUrl": "https://helpcenter.yeswehack.io/en/articles/396541-platform-code-of-conduct",
    "policyFormat": "web page",
    "policyDated": null,
    "lastOpened": "2026-09-19",
    "sanction": "Each security researcher has 7 ethical points; every confirmed violation decrements the counter for twelve months, and a platform ban follows at zero.",
    "maxPayoutUsd": null,
    "confidence": "CONFIRMED"
   },
   {
    "id": "immunefi",
    "programme": "Immunefi",
    "operator": "Immunefi",
    "type": "platform",
    "buckets": [
     "responsibility",
     "penalised"
    ],
    "ruleSummary": "AI-generated or automated scanner reports that lack the impact information the programme requires are prohibited; the sanction is a suspension or a permanent ban. The December 2022 blanket ban is superseded by this narrower rule.",
    "quote": "Submitting AI-generated/automated scanner bug reports that lack the required information regarding the vulnerability's impact on the reported asset",
    "policyUrl": "https://immunefi.com/rules/",
    "policyFormat": "web page",
    "policyDated": null,
    "lastOpened": "2026-09-19",
    "sanction": "Violation of these rules can result in a temporary suspension or permanent ban from the Immunefi platform at the sole discretion of the Immunefi team.",
    "maxPayoutUsd": null,
    "confidence": "CONFIRMED"
   },
   {
    "id": "code4rena",
    "programme": "Code4rena",
    "operator": "Code4rena",
    "type": "platform",
    "buckets": [
     "responsibility",
     "penalised"
    ],
    "ruleSummary": "Automated tools are allowed as a first pass with a higher burden of proof, LLM-generated nonsense is spam, and every competition is pre-cleared by Zellic's V12 auditor whose findings are ineligible for awards.",
    "quote": "submissions based on automated tools will have a higher burden of proof for demonstrating a relevant HM exploit path in order to be considered satisfactory",
    "policyUrl": "https://docs.code4rena.com/competitions/submission-guidelines",
    "policyFormat": "web page",
    "policyDated": null,
    "lastOpened": "2026-09-19",
    "sanction": "Wardens who submit a significant volume of spam may have their accounts suspended without notice.",
    "maxPayoutUsd": null,
    "confidence": "CONFIRMED"
   },
   {
    "id": "cantina",
    "programme": "Cantina",
    "operator": "Cantina (Spearbit)",
    "type": "platform",
    "buckets": [
     "responsibility",
     "penalised"
    ],
    "ruleSummary": "Submitting AI-generated findings without validating them can lead to disqualification or a permanent ban. The clause opened governs competitions; the bounty product's own rule is still to be located.",
    "quote": "AI generated findings: submitting AI generated findings without validating them can lead to disqualifications or worse, a permanent ban",
    "policyUrl": "https://docs.cantina.security/evaluations-and-standards/severity-classifications/competition-finding-severity",
    "policyFormat": "web page",
    "policyDated": null,
    "lastOpened": "2026-09-19",
    "sanction": "Disqualification or a permanent ban.",
    "maxPayoutUsd": null,
    "confidence": "CONFIRMED"
   },
   {
    "id": "google-ai-vrp",
    "programme": "Google AI Vulnerability Reward Program",
    "operator": "Google",
    "type": "vendor",
    "buckets": [
     "responsibility"
    ],
    "ruleSummary": "The AI VRP, launched 7 October 2025, pays for rogue actions and sensitive data exfiltration against Gemini and other AI products, with a base top reward of $20,000 rising to $30,000 with report-quality multipliers; prompt injections, jailbreaks and alignment issues go to in-product feedback instead.",
    "quote": null,
    "policyUrl": "https://bughunters.google.com/about/rules/google-friends/ai-vulnerability-reward-program-rules",
    "policyFormat": "client-rendered web page, no policy text served to a scripted fetch",
    "policyDated": "2025-10-07",
    "lastOpened": null,
    "sanction": "Out-of-scope classes are routed to in-product feedback rather than rewarded.",
    "maxPayoutUsd": 30000,
    "confidence": "SINGLE"
   },
   {
    "id": "apple",
    "programme": "Apple Security Bounty",
    "operator": "Apple",
    "type": "vendor",
    "buckets": [
     "penalised"
    ],
    "ruleSummary": "Lengthy AI-generated descriptions are discouraged, an AI find without validation by a person is ineligible, and repeated ineligible reports pause processing for 180 days. August 2026 coverage described a submission cap with a 30-day cool-off, which the live page of 19 September does not carry.",
    "quote": "Infeasible reports, such as reports of theoretical issues or issues discovered by AI without proper validation",
    "policyUrl": "https://security.apple.com/bounty/guidelines/",
    "policyFormat": "web page, undated",
    "policyDated": null,
    "lastOpened": "2026-09-19",
    "sanction": "Processing paused for 180 days for repeated ineligible reports; researchers with more than two paused periods may be permanently removed from the programme.",
    "maxPayoutUsd": null,
    "confidence": "CONTESTED"
   },
   {
    "id": "github",
    "programme": "GitHub Bug Bounty",
    "operator": "GitHub",
    "type": "vendor",
    "buckets": [
     "responsibility"
    ],
    "ruleSummary": "AI is welcomed in security research and every finding is validated before submission with a working proof of concept; from 27 July 2026 the public tier pays $250, $2,000, $5,000 and $10,000 by severity and an invite-only tier pays from $1,000 to $30,000 and up.",
    "quote": "We welcome AI in security research",
    "policyUrl": "https://github.blog/security/raising-the-bar-quality-shared-responsibility-and-the-future-of-githubs-bug-bounty-program/",
    "policyFormat": "web page, dated post",
    "policyDated": "2026-05-15",
    "lastOpened": "2026-09-19",
    "sanction": "A HackerOne signal requirement on the public programme caps an unestablished researcher's initial submissions at four attempts (post of 22 July 2026).",
    "maxPayoutUsd": 10000,
    "confidence": "CONFIRMED"
   }
  ]
 },
 "programmes": [
  {
   "platform": "bugcrowd",
   "programme": "CoinDesk Data - Data API ",
   "url": "https://bugcrowd.com/engagements/CCData-mbb-og",
   "ceiling": 7500,
   "currency": "USD",
   "safeHarbour": "full",
   "paysBounty": true,
   "assets": 2,
   "managed": true,
   "measuredAt": "2026-09-11",
   "date": "2026-09-11",
   "dateBasis": "first-indexed"
  },
  {
   "platform": "bugcrowd",
   "programme": "FindOut InfoVis AB - Marketplace Bug Bounty Program",
   "url": "https://bugcrowd.com/engagements/FindOut-infovis",
   "ceiling": 1500,
   "currency": "USD",
   "safeHarbour": "full",
   "paysBounty": true,
   "assets": 1,
   "managed": true,
   "measuredAt": "2026-09-11",
   "date": "2026-09-11",
   "dateBasis": "first-indexed"
  },
  {
   "platform": "bugcrowd",
   "programme": "Jaanga Marketplace Bug Bounty",
   "url": "https://bugcrowd.com/engagements/JaangaInc-mbb-market",
   "ceiling": 1500,
   "currency": "USD",
   "safeHarbour": "partial",
   "paysBounty": true,
   "assets": 4,
   "managed": true,
   "measuredAt": "2026-09-11",
   "date": "2026-09-11",
   "dateBasis": "first-indexed"
  },
  {
   "platform": "bugcrowd",
   "programme": "Accxia Marketplace Bug Bounty ",
   "url": "https://bugcrowd.com/engagements/accxia-gmbh",
   "ceiling": 1500,
   "currency": "USD",
   "safeHarbour": "full",
   "paysBounty": true,
   "assets": 2,
   "managed": true,
   "measuredAt": "2026-09-11",
   "date": "2026-09-11",
   "dateBasis": "first-indexed"
  },
  {
   "platform": "bugcrowd",
   "programme": "Acorns Grow, Inc.",
   "url": "https://bugcrowd.com/engagements/acorns",
   "ceiling": 4000,
   "currency": "USD",
   "safeHarbour": "full",
   "paysBounty": true,
   "assets": 6,
   "managed": true,
   "measuredAt": "2026-09-11",
   "date": "2026-09-11",
   "dateBasis": "first-indexed"
  },
  {
   "platform": "bugcrowd",
   "programme": "Aelbox Marketplace Bug Bounty",
   "url": "https://bugcrowd.com/engagements/aelbox",
   "ceiling": 1500,
   "currency": "USD",
   "safeHarbour": "full",
   "paysBounty": true,
   "assets": 1,
   "managed": true,
   "measuredAt": "2026-09-11",
   "date": "2026-09-11",
   "dateBasis": "first-indexed"
  },
  {
   "platform": "bugcrowd",
   "programme": "Afterpay Bug Bounty Program",
   "url": "https://bugcrowd.com/engagements/afterpay",
   "ceiling": 5000,
   "currency": "USD",
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  {
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  {
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  },
  {
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   "programme": "BitGo Bug Bounty",
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  },
  {
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   "programme": "Kuru Bug Bounty",
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   "date": "2025-11-24",
   "dateBasis": "platform-timeframe"
  },
  {
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   "programme": "Aztec Network Bug Bounty",
   "url": "https://cantina.xyz/bounties/80e74370-10d8-4e52-8e4b-7294deb7c9ee",
   "ceiling": 50000,
   "currency": "USDC",
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   "date": "2026-05-04",
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  },
  {
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   "programme": "Tenbin Bug Bounty",
   "url": "https://cantina.xyz/bounties/0420bc1a-9177-4e4e-8da7-826d273e3d3e",
   "ceiling": 40000,
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   "date": "2026-09-11",
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  },
  {
   "platform": "cantina",
   "programme": "Monad.xyz UI",
   "url": "https://cantina.xyz/bounties/a3806410-4f70-4023-8b29-103ddbd5b8a3",
   "ceiling": 30000,
   "currency": "USDC",
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   "managed": null,
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   "date": "2025-11-23",
   "dateBasis": "platform-timeframe"
  },
  {
   "platform": "cantina",
   "programme": "Perena Bug Bounty",
   "url": "https://cantina.xyz/bounties/4bbe54f6-c8ea-4704-a756-0066689d7371",
   "ceiling": 25000,
   "currency": "USDC",
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   "date": "2026-04-06",
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  },
  {
   "platform": "cantina",
   "programme": "Rogo",
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   "measuredAt": "2026-09-19",
   "date": "2026-06-25",
   "dateBasis": "platform-timeframe"
  },
  {
   "platform": "cantina",
   "programme": "Ammalgam Bug Bounty",
   "url": "https://cantina.xyz/bounties/b5e376ee-2fe9-47eb-a667-df98d3d201ae",
   "ceiling": 25000,
   "currency": "USDC",
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   "assets": 20,
   "managed": null,
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   "measuredAt": "2026-09-19",
   "date": "2026-07-09",
   "dateBasis": "platform-timeframe"
  },
  {
   "platform": "cantina",
   "programme": "Circuit",
   "url": "https://cantina.xyz/bounties/8f671963-4313-4ac3-aed9-3186a240b75a",
   "ceiling": 20000,
   "currency": "USDC",
   "safeHarbour": null,
   "paysBounty": true,
   "assets": 1,
   "managed": null,
   "kyc": true,
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   "submissionFee": 30,
   "proseOnlyScope": false,
   "measuredAt": "2026-09-19",
   "date": "2025-11-05",
   "dateBasis": "platform-timeframe"
  },
  {
   "platform": "cantina",
   "programme": "alchemy-web",
   "url": "https://cantina.xyz/bounties/d1496b11-e0cb-4905-80e6-b95f892f39ba",
   "ceiling": 10000,
   "currency": "USDC",
   "safeHarbour": null,
   "paysBounty": true,
   "assets": 0,
   "managed": null,
   "kyc": false,
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   "submissionFee": null,
   "proseOnlyScope": true,
   "measuredAt": "2026-09-19",
   "date": "2025-10-07",
   "dateBasis": "platform-timeframe"
  },
  {
   "platform": "cantina",
   "programme": "Cantina Bounty",
   "url": "https://cantina.xyz/bounties/ade8dd1f-f6a3-42e5-ad59-0f9d137c831f",
   "ceiling": 5000,
   "currency": "USDC",
   "safeHarbour": null,
   "paysBounty": true,
   "assets": 2,
   "managed": null,
   "kyc": false,
   "triaged": true,
   "submissionFee": null,
   "proseOnlyScope": false,
   "measuredAt": "2026-09-19",
   "date": "2024-07-27",
   "dateBasis": "platform-timeframe"
  }
 ],
 "records": [
  {
   "id": "cantina",
   "name": "Cantina",
   "date": "2026-09-19",
   "measuredAt": "2026-09-19T20:28:10Z",
   "website": "https://cantina.xyz/",
   "programmesInFeed": 73,
   "programmesLive": 51,
   "inScopeAssets": 467,
   "assetGroups": 137,
   "outOfScopeGroups": 60,
   "liveWithProseOnlyScope": 14,
   "kycRequired": 38,
   "cantinaTriaged": 46,
   "rewardPotTop": [
    {
     "programme": "Uniswap",
     "pot": 15500000,
     "currency": "USDC"
    },
    {
     "programme": "Reserve Protocol Bug Bounty",
     "pot": 10000000,
     "currency": "USDC"
    },
    {
     "programme": "Euler-Bounty",
     "pot": 7500000,
     "currency": "USDC + rEUL + USUAL"
    },
    {
     "programme": "Coinbase",
     "pot": 5000000,
     "currency": "USDC"
    },
    {
     "programme": "Polymarket",
     "pot": 5000000,
     "currency": "USDC"
    }
   ],
   "summary": "Cantina's public feed holds 73 programmes, 51 of them live on 19 September 2026, with 467 in-scope assets across 137 asset groups. 14 of the 51 live programmes publish scope only as prose, so a pipeline reading structured fields sees nothing for them. The largest reward pot is Uniswap's at 15,500,000 USDC, then Reserve Protocol at 10,000,000 USDC. 38 live programmes require KYC and 46 are triaged by Cantina. Measured from the platform's own endpoint.",
   "details": "Live means status live; on 19 September the feed also held 14 programmes in judging, 5 with escalations ended and 3 complete. 60 of the 137 asset groups are out-of-scope groups, with the exclusions written as prose inside the group description. Reward pots are quoted in eight currency labels, 42 of them USDC, so the pot column carries the label as the feed gives it. Thirty-four live programmes run a five-band severity scale including informational; Immunefi's scale stops at four.",
   "links": [
    {
     "label": "Cantina public bounties endpoint",
     "url": "https://cantina.xyz/api/v0/bounties"
    }
   ],
   "confidence": "CONFIRMED",
   "url": "https://yfarmx.com/tools/bounty-economics/cantina/"
  },
  {
   "id": "immunefi",
   "name": "Immunefi",
   "date": "2026-09-19",
   "measuredAt": "2026-09-19T20:28:11Z",
   "website": "https://immunefi.com/",
   "programmesInFeed": 237,
   "programmesLive": 170,
   "inScopeAssets": 5843,
   "assetTypes": {
    "smart_contract": 5225,
    "websites_and_applications": 264,
    "blockchain_dlt": 354
   },
   "ceilingUsd": {
    "p50": 100000,
    "max": 15000000,
    "maxProgramme": "LayerZero",
    "sum": 109262597
   },
   "impactTriples": 888,
   "impactRows": 2742,
   "rewardRows": 747,
   "rewardRowsUpToTenPct": 140,
   "pocMatrixPopulated": 158,
   "kycRequired": 97,
   "immunefiStandard": 148,
   "summary": "Immunefi's public feed holds 237 programmes, 170 of them live on 19 September 2026, with 5,843 in-scope assets (5,225 smart contracts, 354 blockchain or DLT, 264 web). The median advertised ceiling is $100,000 and the top is $15,000,000 at LayerZero, with $109,262,597 of combined ceiling across the live set. 97 of 170 live programmes require KYC and 158 publish a proof-of-concept matrix by asset type and severity. Measured from the platform's own endpoint.",
   "details": "The advertised ceiling is rarely the payable amount: 140 of 747 reward rows carry a reward calculation percentage of 10, so a critical pays up to a tenth of the funds at risk. The impact taxonomy runs to 888 unique (asset type, severity, title) triples across 2,742 rows, and it is the same list the submission form renders. Live means not paused, not invite-only, no past end date and no future launch date; the feed's other 67 programmes fail one of those.",
   "links": [
    {
     "label": "Immunefi public bounties endpoint",
     "url": "https://immunefi.com/public-api/bounties.json"
    }
   ],
   "confidence": "CONFIRMED",
   "url": "https://yfarmx.com/tools/bounty-economics/immunefi/"
  },
  {
   "id": "federacy",
   "name": "Federacy",
   "date": "2026-09-11",
   "measuredAt": "2026-09-11",
   "website": "https://www.federacy.com/",
   "programmes": 35,
   "programmesPayingBounties": 7,
   "inScopeAssets": 99,
   "summary": "Federacy lists 35 public programmes in the mirror with 99 in-scope assets, 7 of them offering awards. Measured 11 September 2026 from the platform's own data as mirrored.",
   "details": "Federacy publishes no maximum payout field and no response metrics, so its rows carry the programme, the URL, the asset count and whether awards are offered.",
   "links": [
    {
     "label": "Federacy data, bounty-targets-data mirror (MIT)",
     "url": "https://raw.githubusercontent.com/arkadiyt/bounty-targets-data/main/data/federacy_data.json"
    }
   ],
   "confidence": "CONFIRMED",
   "url": "https://yfarmx.com/tools/bounty-economics/federacy/"
  },
  {
   "id": "yeswehack",
   "name": "YesWeHack",
   "date": "2026-09-11",
   "measuredAt": "2026-09-11",
   "website": "https://www.yeswehack.com/",
   "programmes": 58,
   "programmesPublishingCeiling": 57,
   "inScopeAssets": 647,
   "ceiling": {
    "p50": 3000,
    "max": 230000,
    "maxProgramme": "Swiss Post - E-Voting",
    "currency": null
   },
   "summary": "YesWeHack lists 58 public programmes in the mirror, 57 of them publishing a maximum bounty, with a median of 3,000 and a top of 230,000 at Swiss Post E-Voting. The feed carries no currency field, so each figure stands in the programme's own currency. Measured 11 September 2026 from the platform's own data as mirrored.",
   "details": "The 3DS OUTSCALE programme carries the cleanest out-of-scope drafting in the sample, listing eleven out-of-scope entries beside seven in-scope ones, including 'Social engineering of Outscale employees and contractors'.",
   "links": [
    {
     "label": "YesWeHack data, bounty-targets-data mirror (MIT)",
     "url": "https://raw.githubusercontent.com/arkadiyt/bounty-targets-data/main/data/yeswehack_data.json"
    }
   ],
   "confidence": "CONFIRMED",
   "url": "https://yfarmx.com/tools/bounty-economics/yeswehack/"
  },
  {
   "id": "intigriti",
   "name": "Intigriti",
   "date": "2026-09-11",
   "measuredAt": "2026-09-11",
   "website": "https://www.intigriti.com/",
   "programmes": 137,
   "programmesPublishingCeiling": 69,
   "inScopeAssets": 1649,
   "ceilingByCurrency": {
    "EUR": {
     "n": 50,
     "p50": 2500,
     "max": 15000
    },
    "GBP": {
     "n": 1,
     "p50": 12500,
     "max": 12500
    },
    "USD": {
     "n": 18,
     "p50": 9250,
     "max": 100000
    }
   },
   "summary": "Intigriti lists 137 public programmes in the mirror, 69 of them publishing a maximum bounty, in three currencies: 50 in euros with a median of €2,500 and a €15,000 top, 18 in dollars with a median of $9,250 and a $100,000 top at Intel, and one in sterling at £12,500. Measured 11 September 2026 from the platform's own data as mirrored.",
   "details": "A pooled median across three currencies is an artefact of the sort order, so this page keeps the per-currency figures apart. All 137 programmes read confidentiality_level public, status open, tacRequired false and twoFactorRequired false. The Adobe Public programme names prompt injection leading to sensitive content disclosure as an in-scope class with a $75 to $15,000 range, which is model-level scope on a mainstream programme.",
   "links": [
    {
     "label": "Intigriti data, bounty-targets-data mirror (MIT)",
     "url": "https://raw.githubusercontent.com/arkadiyt/bounty-targets-data/main/data/intigriti_data.json"
    }
   ],
   "confidence": "CONFIRMED",
   "url": "https://yfarmx.com/tools/bounty-economics/intigriti/"
  },
  {
   "id": "hackerone",
   "name": "HackerOne",
   "date": "2026-09-11",
   "measuredAt": "2026-09-11",
   "website": "https://hackerone.com/",
   "programmes": 449,
   "programmesPayingBounties": 223,
   "programmesManaged": 325,
   "inScopeAssets": 41328,
   "responseHours": {
    "firstResponse": {
     "median": 9,
     "n": 410
    },
    "bountyAwarded": {
     "median": 222,
     "n": 212
    },
    "resolved": {
     "median": 1174.5,
     "n": 300
    }
   },
   "responseEfficiencyPct": {
    "median": 85,
    "n": 443
   },
   "summary": "HackerOne lists 449 public programmes in the mirror, all open to submissions, 223 of them paying a bounty and 325 managed by HackerOne staff, with 41,328 in-scope assets between them. The median programme answers a report in 9 hours (n 410), pays a bounty 222 hours after submission (n 212) and resolves the report at 1,174.5 hours, about 49 days (n 300). Measured 11 September 2026 from the platform's own data as mirrored.",
   "details": "HackerOne publishes no maximum payout field in its directory data, so the ceiling ladder on this page comes from Bugcrowd and the web3 platforms, and HackerOne supplies the clock. Response efficiency runs at a median 85% across 443 programmes reporting it. The 41,328 in-scope assets split into seventeen types, led by URL (34,954), WILDCARD (2,713) and OTHER (1,371); SOURCE_CODE appears in 63 programmes, SMART_CONTRACT in five, and the AI_MODEL type in seven.",
   "links": [
    {
     "label": "HackerOne data, bounty-targets-data mirror (MIT)",
     "url": "https://raw.githubusercontent.com/arkadiyt/bounty-targets-data/main/data/hackerone_data.json"
    },
    {
     "label": "Mirror licence, MIT",
     "url": "https://raw.githubusercontent.com/arkadiyt/bounty-targets-data/main/LICENSE.md"
    }
   ],
   "confidence": "CONFIRMED",
   "url": "https://yfarmx.com/tools/bounty-economics/hackerone/"
  },
  {
   "id": "bugcrowd",
   "name": "Bugcrowd",
   "date": "2026-09-11",
   "measuredAt": "2026-09-11",
   "website": "https://bugcrowd.com/",
   "programmes": 278,
   "programmesPublishingCeiling": 273,
   "inScopeAssets": 2984,
   "ceilingUsd": {
    "p10": 1500,
    "p50": 4000,
    "p75": 6500,
    "p90": 12000,
    "p95": 25000,
    "mean": 18598,
    "min": 500,
    "max": 3000000,
    "maxProgramme": "OpenSea Managed Bug Bounty Program"
   },
   "safeHarbour": {
    "full": 207,
    "partial": 50,
    "none": 21
   },
   "currency": "USD",
   "summary": "Bugcrowd lists 278 public programmes in the mirror, 273 of them publishing a maximum payout. The median ceiling is $4,000, the mean $18,598 and the top of the table $3,000,000 at OpenSea. 207 programmes give full safe harbour, 50 partial and 21 state none, so 71 of 278 give less than full. Measured 11 September 2026 from the platform's own data as mirrored.",
   "details": "Every Bugcrowd record in the mirror carries managed_by_bugcrowd: true and a safe_harbor field. The ceiling ladder runs p10 $1,500, p50 $4,000, p75 $6,500, p90 $12,000, p95 $25,000, and one crypto custody programme carries the mean to $18,598. The SpaceX/Starlink record shows the limit of the machine-readable scope: its single in-scope entry reads 'SpaceX and Starlink assets (target information and rewards detailed above on the brief)', so the real scope sits in prose on the engagement page.",
   "links": [
    {
     "label": "Bugcrowd data, bounty-targets-data mirror (MIT)",
     "url": "https://raw.githubusercontent.com/arkadiyt/bounty-targets-data/main/data/bugcrowd_data.json"
    },
    {
     "label": "Mirror licence, MIT",
     "url": "https://raw.githubusercontent.com/arkadiyt/bounty-targets-data/main/LICENSE.md"
    }
   ],
   "confidence": "CONFIRMED",
   "url": "https://yfarmx.com/tools/bounty-economics/bugcrowd/"
  }
 ]
}