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Cloudflare Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Guillermo Zaandam 🇨🇦🇳🇱 (@besodemieterd) reported 3 minutes ago

  @Cloudflare Your CSP rules and WAF rules aren't working again and again. Please fix this

• 
  Reyansh Bahl (@reyanshbahl) reported 6 minutes ago

  @wongmjane @Cloudflare One of the big issues I had with the current worker previews was not being able to deploy durable objects per preview, hope this fixes it

• 
  Brendan Ryan (@BrendanRyanM) reported 7 minutes ago

  @mntruell @petergyang @bot Also having an issue getting past bot blockers, e.g. cloudflare prompts to press a button and prove you’re human. Even pressing the button manually via virtual machine does not clear the gate

• 
  Adam Rackis (@AdamRackis) reported 8 minutes ago

  @kettanaito @flydotio Do your pods auto-sleep when they’re not getting traffic? I think there’s a min setting you have to set to zero to let everything shut down and then just cold start on the next request. Really though surely Cloudflare free tier is simpler?

• 
  Go₿rrr.me (@GoBrrr_me) reported 10 minutes ago

  @janrothen @paoloardoino @The_Pi_Hole And/or set your DNS Servers to: Primary: 1.1.1.2 Secondary: 1.0.0.2 Cloudflare blocks a lot of bad stuff like phishing, scams, and malicious domains right at the network level.

• 
  ⚛︎ Daddio ⚛︎ (@ScienceDaddio) reported 10 minutes ago

  @grok @DaddioAI E4H.1 is implemented. The pump-activity table is now the reusable presentation surface; events are optional overlays, not duplicate source tables. Raw duration rows stay immutable. E4G.6B canonical stable-ID work is intact (trend_report.html, trend_report.js, test/trend-report-stable-id-e4g6b.test.js). The workspace is not a *** repo, so that was confirmed by file inspection, not *** status. Codex had only started reading; no detector or research files were rewritten. ─── 1. Working-tree inspection No *** repo. Inspected files vs the E4G.6B baseline. E4H.1 presentation files were already present from the interrupted session. This closeout preserved that work, then stopped overlaying Current Assembly / Station Packet tables so automatic assembly still uses detector is_event_row highlighting instead of the new ERT overlay. 2. Distinction from E4G.6B E4G.6B remains: stable IDs and trend_report.js?v=e4h1-e4g6a-e4g6b. E4H.1 added presentation state, ERT overlay, settings UI, and Search Tables controls. Research under research/e4c8g/ was not touched. 3. Existing table architecture found Canonical BossDataTable renders Trend Report, Search Tables, and exports. Manual/Search tables use the approved catalog with exact start/end, pump, and sort. Event tables keep Context Before/After. Snapshots store source columns/rows; presentation is a separate optional field. EMAIL-v1 already highlights via is_event_row. 4. Existing fixed ERT architecture ┌──────────────────────────────────────┬──────────────────────────────────────┬─────────────────────┐ │ Layer │ Behavior │ E4H.1 action │ ├──────────────────────────────────────┼──────────────────────────────────────┼─────────────────────┤ │ Python PumpDurationERT / │ Materialized at ERT_MINUTES = 15, │ Preserved │ │ PumpActivityERT │ RUN_TIME ≥ │ │ ├──────────────────────────────────────┼──────────────────────────────────────┼─────────────────────┤ │ detectFixedErt() │ Exists; not called from │ Preserved │ │ │ detectEvents() │ │ ├──────────────────────────────────────┼──────────────────────────────────────┼─────────────────────┤ │ Settings fixedErtEnabled / │ Default enabled, 900 seconds │ Reused as overlay │ │ fixedErtSeconds │ │ config │ ├──────────────────────────────────────┼──────────────────────────────────────┼─────────────────────┤ │ Historical FIXED_ERT Station Events │ Readable history │ Preserved │ └──────────────────────────────────────┴──────────────────────────────────────┴─────────────────────┘ 5. Existing Adaptive Long Runtime architecture detectAdaptiveRuntime() remains in detectEvents(). Station Events, Current Assembly, and report generation still consume Adaptive events. No silent detector swap. 6. Settings architecture Existing analysis settings: global row + per-station overrides in analysis-settings.js, Station Review cards, PUT /api/station-review/settings/global and station override PUT. No parallel settings universe. 7. ERT setting storage Existing columns: • fixed_ert_enabled (boolean, default true) • fixed_ert_seconds (number, default 900) Read-only reshape: GET /api/pump-activity/ert-settings → { default_enabled, default_threshold_seconds, stations: { [id]: { enabled, threshold_seconds } } }. Writes go through the existing Station Review settings APIs. No new write endpoint. 8. ERT defaults 15 minutes (900 seconds) when no station override exists. Sands is not hardcoded. 9. Threshold semantics Granular rows only: RUN_SECONDS >= station.threshold_seconds Annotation metadata records comparison: 'gte'. Equality counts (6:00 at a 6-minute threshold is ERT; 5:59 is not). Validation range: finite, 1 to 2,592,000 seconds (1 second through 30 days). That is the existing analysis-settings bound. UI is minutes: 0.0167–43,200, converted × 60 on save. Allowed values include 6, 10, 15, 17, 20, 30 minutes. Invalid overlay input clamps to 900 seconds; settings save still rejects out-of-range values. 10. Shared table presentation model Fields actually implemented: • context — SEARCH \| TREND_EVENT \| TREND_MANUAL • start / end • pump — '' \| PUMP-1 \| PUMP-2 • row_mode — ALL_ACTIVITY \| EVENTS_ONLY • event_display — NONE \| ALL \| EXTENDED_RUNTIME \| CONSECUTIVE_SAME_PUMP • enabled_event_types • highlight_enabled • consecutive_available • ert_settings (optional snapshot of thresholds) 11. Annotation provider model src/public/pump-activity-presentation.js (BossPumpActivityPresentation): • ERT provider: derived from row runtime + per-station threshold • Consecutive provider: persisted evidence only (event_source_keys / source_key / is_event_row fallback) • 0–N annotations per row, keyed by sourceIdentity, not DOM index 12. Raw data integrity applyPresentation clones rows. Source objects are not mutated. Annotations are not written into duration history. Tests stringify the source array before and after. 13. Trend Report integration User-inserted granular tables get a collapsed Table Display card: Start, End, Pump, Rows, Events, Highlight Events, Apply. Event-from-tray tables default All Events + Highlight ON. Manual/Search-style inserts default None + Highlight OFF. Apply updates the same Canvas section (no duplicate). Context Before/After still exist; once they produce a new window, annotations follow that window. Current Assembly and Station Packet tables do not attach overlay presentation and do not show Table Display. They keep detector is_event_row highlighting. 14. Search Tables integration Granular duration tables (pump_runs, pump_durations, PumpDurationERT, rolling48_all, *_durations) show Rows / Events / Highlight. Defaults: Events: None, Highlight: Off, All Pump Activity. Consecutive is not offered. Aggregate tables (PumpActivityDaily, PumpActivitySQL, PumpActivityERT, StationActivityDaily) stay plain with the bar hidden. 15. Generate Report / aggregate handling Generate Report was not merged or redesigned. PumpActivityDaily MAX above threshold is not treated as a granular ERT event (aggregate: true, no Event column). 16. Time-range recalculation Annotations are computed from the table’s current start/end. Expand the window → newly visible ERT rows annotate. Contract → out-of-range annotations disappear. The table is not married to the initiating event. 17. Row modes • ALL_ACTIVITY — all qualifying source rows; annotated rows carry labels when highlight is on • EVENTS_ONLY — only rows with currently enabled annotations • EVENTS_PLUS_CONTEXT was not built event_display = NONE forces ALL_ACTIVITY. 18. Highlight toggle / plain mode Highlight OFF (or Events = None): no event-row class, no Event column, no event_labels / event_annotations, no threshold text in the row payload. Same source rows, visually plain. 19. Pump filter Both / Pump 1 / Pump 2 preserved. Annotations follow remaining rows. 20. Sorting Existing newest/oldest/runtime sorts remain. Highlight class uses sourceIdentity, not row index. 21. Multi-station threshold behavior Each row uses that row’s station config. Example: Sands 6 minutes + Magnolia 20 minutes → a 10-minute Sands row is ERT; the same duration at Magnolia is not. 22. Multiple-annotation support One row can show EXTENDED RUNTIME · CONSECUTIVE. Structure is a list, not one-event-per-row. 23. Consecutive compatibility Now: Trend Report event tables may show persisted Consecutive annotations when source keys or is_event_row evidence exists. Deferred: no detectConsecutiveRuns() changes, no LG30/C1, no historical reconstruction. Search Tables are ERT-only because complete Consecutive evidence is not available there. 24. Adaptive legacy behavior Preserved. Adaptive still feeds Station Events and Current Assembly. The new overlay is fixed-threshold ERT only. 25. Legacy fixed ERT tables PumpDurationERT and PumpActivityERT remain in the catalog and Python pipeline at 15 minutes. 26. Canonical snapshot / save-reopen presentation is optional on table sections. Legacy snapshots with presentation: null still validate and render with is_event_row. New snapshots store view state (including ert_settings when present) and reapply on reopen. 27. EMAIL rendering HUB presentTableSection applies the overlay when presentation is set and the table is not assembly-bound. EMAIL-v1 was not modified. Highlight still uses is_event_row; HUB sets that flag from overlay identity when annotations are shown. Plain presentation leaves rows unhighlighted and without an Event column. Cloudflare requests stay 0 in tests. 28. Auto/custom narrative autoTableNarrative() exists as a helper only. It is not wired into Current Assembly. Deferred to E4H.2. 29. Future AI compatibility A later local AI can set the same structured presentation object (station/start/end/pump/row_mode/event_display/highlight_enabled) without HTML-specific logic. No AI was implemented. 30. Files created • src/public/pump-activity-presentation.js • test/pump-activity-presentation-e4h1.test.js • test/pump-activity-table-integration-e4h1.test.js 31. Files modified • src/public/trend_report.js • src/public/trend_report.html • src/public/data_views.js • src/public/data_views.html • src/public/station_review.js • src/public/station_review.html • src/public/styles.css • src/server.js • src/services/saved-reports.js • src/services/trend-report-email.js • cache-bust strings in a few existing tests (saved-reports-e4d, station-event-email-ui-e4c1, station-review-queue-e4h1) Not modified: event-engine.js, analysis-settings schema (reused), Python ERT builders, EMAIL-v1, research/. 32. Focused E4H.1 tests 30 / 30 33. Search Tables regression 40 / 40 (catalog, exact time, pump, historical durations, shared renderer) 34. Trend Report regression 85 / 85 on X4 + E4G.6 / 6A / 6B core files; remainder included in full HUB 767. 35. Saved Report regression 16 / 16 (saved-reports-e4d + report-table-compatibility-e4d2) 36. Event/detector regression 54 / 54 (local events, event quality, fixed-ERT workflow, event presentation) 37. HUB full regression Starting baseline 737 / 737. 767 / 767 (737 prior + 30 E4H.1 tests) A first parallel run hit 766/767 from two suites sharing temp files; the serial rerun was 767/767. 38. EMAIL full regression 64 / 64 39. Capture reliability 9 / 9 40. Production DB writes 0 in tests. ERT settings GET is read-only. 41. Real emails sent 0. Cloudflare requests 0. 42. Real captures 0 43. Detector files modified NO. detectConsecutiveRuns() unchanged. detectFixedErt() still unused by detectEvents(). 44. Research files modified NO 45. Manual owner QA Live BOSS UI was not opened in a browser from this session; behavior was verified with node --test. Please confirm: 1. Station Review → settings: EXTENDED RUNTIME Enabled + Threshold (minutes). Set a station to 6.0; confirm storage is 360 seconds. Confirm Adaptive controls are unchanged. Confirm email/SMS are not flipped on. 2. Search Tables → historical durations: defaults Events None / Highlight Off. A 20-minute row looks like any other row. Turn Events = Extended Runtime and Highlight On → Event column and yellow row. Highlight Off → same rows, fully plain. 3. Search Tables → PumpActivityDaily: no Event overlay; MAX above 15 minutes is not an ERT event. 4. Trend Report: drag a Station Event table. Table Display exists. Defaults All Events / Highlight On. Events Only hides ordinary rows. Changing Start/End then Apply reloads annotations for the new window. Apply does not create a second Canvas section. 5. Current Assembly: no Table Display / Apply. Consecutive/Adaptive detector rows still highlight via is_event_row. No extra Event column from the overlay. 6. Save / reopen / email a mixed report: annotated user table stays annotated; a plain table stays plain; a pre-E4H.1 saved report still opens. 7. Multi-station granular table: different thresholds on two stations; a 10-minute run annotates only the 6-minute station. 46. Recommended E4H.2 (do not implement now) • Wire auto/custom narrative to the overlay counts • One unified event-aware pump-activity table per useful station/window • One standard trend • Stop emitting redundant automatic event-specific tables • Controlled Adaptive → owner-threshold ERT transition for Station Events (history preserved) ─── Acceptance check: raw rows immutable; per-station ERT; default 15 minutes; no moving average for the overlay; same table annotated or plain; Search defaults plain; event-focused Trend Report defaults annotated; range refresh; Events Only; All Activity; sort/pump/multi-station; no aggregate MAX-as-ERT; deterministic presentation; multi-annotation; Consecutive detector unchanged; Adaptive and legacy ERT tables preserved; historical snapshots compatible; no notifications/email/captures/production writes in tests. Stopped here. Automatic report assembly was not redesigned.

• 
  Anime Novakai | Anime News, Updates & Leaks (@AnimeNovakai) reported 11 minutes ago

  2/6 The subpoena has been sent to Cloudflare, requesting information that could help identify the operators behind 49 piracy websites. Among the targeted sites are major anime streaming platforms such as: 🔹 Miruro 🔹 Aniworld 🔹 And dozens of other streaming domains.

• 
  Miget (@miget_com) reported 14 minutes ago

  Then you reach it from outside. Four terminators, and you can run more than one on the same network. WireGuard per person or per machine. Tailscale into a tailnet you already run. Cloudflare WARP into a Cloudflare org. IPsec site-to-site.

• 
  Tim (@Trendy_Tim) reported 14 minutes ago

  @The_Baron_X150 @SportingNest @Cloudflare That was crowdstrike, cloudflare take down half the internet with some dodgy js or dns config.

• 
  Kyzer (@Spectre_xdd) reported 15 minutes ago

  @Teslaconomics Actual job: own staging releases for my Cloudflare Workers mail-routing app. Given a failed flow, reproduce it with synthetic mail, trace logs + code, write the regression test and fix, deploy to staging, verify delivery end to end, then hand me the evidence for **** approval.

• 
  Girish (@spectragai) reported 16 minutes ago

  @UthaaleReDeva @acolombiadev @Cloudflare It serves different purposes. But I’m just answering the post: name a generous free tier service

• 
  Dave Bettin (@dbettin) reported 23 minutes ago

  @dillon_mulroy @EffectTS_ Where is the cloudflare support?

• 
  Selenka (@SelenkaOnChain) reported 29 minutes ago

  Netnet Capital team is flexing metrics and talking about successful launch of Subway Runner... Meanwhile, 2 vibecoders literally drained their entire mechanic and became the #1 and #2 top holders. Here is the breakdown directly from one of the guys who farmed them: 🧵👇 "First decent cook of the bull run (if we’re even in one). Spent the last few months trying to get good at on-chain analytics, so hadn't been actively cooking. Two nights ago, I'm watching the feed and notice everyone sending $10 clips to this CA: 0x8154e35166f21305adac82f95b54de8acd44d23a. Instantly smelled pure degen activity. Hit up the group chat, did some digging - turns out it’s a Subway Surfers / Chrome dino style runner game by NetNet. Their shitcoin was sitting at a $90M cap at the time, so I figured if their token is holding that kind of valuation, there’s definitely meat on the bone. Normally, their games are pure casino trash: deposit cash, pray to RNGesus, or get rekt. But why not test it? Played a run manually and noticed that at the end of each game there was a draw. Checked their TG and reverse-engineered the contract - turns out there’s an N% chance to win an NFT from their collection. Their previous official collection had crazy volume and peaked hard, so my degen senses started tingling: this was a hidden gem. Literally 15 minutes later, they pause the game. Perfect timing - gave us room to prep. By that point, I had already captured the WSS traffic and requests. Their game logic was using a basic commit-reveal scheme: courseCommit = keccak256(serverSecret) seed = keccak256(serverSecret ++ playerSalt ++ runId) Meaning: right at game start, the server literally sent us the secret, allowing us to compute the seed and reconstruct the entire track in advance. The game loop: 3 lanes, 30 coins, 3600 ticks to finish (60 seconds). You dodge obstacles while longing/shorting NVDA. 3 hits = you lose the full $10. Complete a flawless run = you collect all coins to refund your stake and it only burns ~$0.20 in fees, giving you an almost free roll at the NFT lottery. In the era of AI and vibecoding, this was child's play. My boy XXX and I started spinning up bots in parallel. Ended up deploying his script since he coded it faster. We simulated runs, got a 100% win rate, set up a websocket listener for when the contract unpauses, and went to bed. Woke up at 6 AM, and literally 30 seconds later the game goes live. We spun up the bots - 5 minutes in, we already bagged our first NFT. Then came the scaling phase. At first, the team didn't give a single **** - no Cloudflare, no rate limiting, not even a basic 429. We ran 10 wallets simultaneously. After a few hours, they finally threw in a primitive 429, and that was it. No bot protection, no captcha, nothing. They didn’t even enforce single-session checks per wallet, so we were running multiple concurrent instances on the exact same address (literally impossible to do manually). The bots printed flawlessly. At one point, our load was crashing live games for actual manual players, forcing the team to repeatedly pause the game to fix lag. Every time they brought it back up, we resumed blasting. Total mint size was 1,060 NFTs. We scooped over 20% of the entire supply. Then came the funny part: the collection had zero secondary volume. Time for a little social engineering. We hopped into their TG playing dumb, gently nudging the admins: 'Hey guys, might want to tweet that the game is live and apply for OpenSea verification!' The final tally: * Total capital spent on fees/burns: ~$1,700 * Total NFTs pulled: ~50–60 pieces (friends got a similar bag) * PnL: Dumped most of the floor tier into bids today at $200–$300 a pop, still holding some. Nothing crazy for a real bull run, but an easy 5-figure profit for a couple of hours of vibecoding."

• 
  David T Kramaley (@simplydt) reported 31 minutes ago

  @mathieuxtms @whop lean stack wins. we run supabase, cloudflare, and a tiny video‑automation service, staying under 15% of MRR

• 
  R.Gion (Any/All) (@Gion_the_critic) reported 36 minutes ago

  @SportingNest @Cloudflare Where was this? I've never seen it