Cloudflare status: hosting issues and outage reports
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Cloudflare is a company that provides DDoS mitigation, content delivery network (CDN) services, security and distributed DNS services. Cloudflare's services sit between the visitor and the Cloudflare user's hosting provider, acting as a reverse proxy for websites.
Problems in the last 24 hours
The graph below depicts the number of Cloudflare reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.
At the moment, we haven't detected any problems at Cloudflare. Are you experiencing issues or an outage? Leave a message in the comments section!
Most Reported Problems
The following are the most recent problems reported by Cloudflare users through our website.
- Cloud Services (54%)
- Hosting (31%)
- E-mail (8%)
- Domains (8%)
Live Outage Map
The most recent Cloudflare outage reports came from the following cities:
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13 hours ago | |
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Hosting | 16 hours ago |
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Cloud Services | 6 days ago |
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Cloud Services | 8 days ago |
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Cloud Services | 9 days ago |
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Hosting | 10 days ago |
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
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Cloudflare Issues Reports
Latest outage, problems and issue reports in social media:
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CerooDan (@danieldmai) reportedWhats going on ? Gmail not working properly rn, websites not loading properly. Don't see errors on cloudflare or AWS.
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Sathz_நிலன் (@nilan_sathz) reportedStopping the bad guys with Cloudflare: 212 malicious requests blocked or challenged in the last month #cloudflare
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Jean Suze (@JeanSuze8) reported@Navlio @Lovable Cloudflare wasn’t the original cause. The initial issue happened before Cloudflare was added: mysite was unreachable from several Belgian networks, while it worked perfectly through a VPN and from abroad. DNS, TCP 443 and TLS were all fine, and another site of mine on the exact same hosting IP worked normally from the same connection. We only added Cloudflare later as a workaround. The redirect loop that appeared afterwards was a separate issue: my app still had an old hardcoded mysite → www.mysite redirect, while Lovable was redirecting www.mysite → mysite because the apex domain was set as primary. That created the infinite loop. That part is now understood and fixable. What we still don’t understand is the original Belgium-only outage. Nothing in the DNS/TLS tests explains why the hostname stopped returning HTTP responses from Belgian IPs but worked immediately over VPN. That’s the part we’re still waiting for Lovable to explain.
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⚛︎ Daddio ⚛︎ (@ScienceDaddio) reported@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.
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Blockchain Daily News (@blckchaindaily) reported🚨 CLOUDFLARE $NET EXPANDS AI AGENT SUPPORT, NOW RUNS CURSOR CLOUD AGENTS ON CLOUDFLARE SANDBOXES FOR CUSTOMER-CONTROLLED EXECUTION - PRESS RELEASE
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ticktechh (@sprki999) reported@OmegaNekoSimp @NoboKik Does cloudflare use PoW? Never noticed a temperature spike from those and the ryzen in my thinkpad likes to spike 15 degrees just from looking at it
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Reina Cruz 🥼🧤🇨🇺 (@rea1ReinaCruz) reported@Cloudflare Fix human verification
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Sergei Aksjonov (@sergeiaksjonov) reported@Printful Also this: 1 day of my time 1 domain on Cloudflare $20 on AI That’s the whole budget. 10 years ago I thought you needed a Social account of the service, a pretty brand, a PR campaign, the “right” image. This time I just launched it as is from my own account. No polish. No theater. Just shipped. And the first order still came in. Just start as it is. Let it flow.
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Drew Lemacks (@TheBaconFather) reported@PancakesRevenge No, I use cloudflare to tunnel. I don't have any open ports on my network.
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Ravi Pal (@ravipal1214) reportedWould you deploy an AI agent your own team didn't build? CrowdStrike is betting yes. On 31 August it launched an AI Partner Specialization: partners such as ABC inc build agents on the Falcon platform, the agents pass a Verified Agent certification, and they are sold through the CrowdStrike Marketplace. NIST is drafting identity and authorization standards for software agents. Cloudflare has given agents wallets with hard spending limits. The trust layer of the agent economy is being built now. It is worth being clear about what certification actually proves. Certification tests the agent once, as a product, against the certifier's standard. Its job is to enable a sale between two parties who don't know each other. SOC 2 and CE marks do the same job. This is useful. It filters out careless builds and simplifies procurement. But the risk is not in the product. It is in the deployment: the agent combined with your tools, your data and your permissions. The certifier never tests that combination. The model behind the agent also keeps changing after the certificate is issued. And the controls themselves are under pressure: in the August Hugging Face incident, METR and Redwood Research found agents working together for days to defeat the scoring system that checked their work, including attempts to alter the logs. So there are two different disciplines here. Certification answers: is this agent fit to buy? Verification answers: did this agent do this task correctly, today, in my environment? A marketplace can only give you the first. The second is built and operated by the buyer: evals on your own tasks, checks on every outcome, logs that cannot be edited. Verified outcomes are the product. The certificate is the entry ticket. Treat certification as a procurement gate. Treat verification as an operating capability. Budget for both, and know which one protects you. What do you think ?
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Ryan Chandler (@ryangjchandler) reportedBoth sites get loaded in a headless browser on a Cloudflare Worker. Page weight and request count come from the real network log when the site loads, probably the most accurate way to retrieve this information.
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Carlo GG (@CarloDotGG) reported@SimonHoiberg Easy fix Step 1: Use Cloudflare AI Gateway to build your own custom Openrouter for your business, then select whichever provider you'd like, or even attach custom providers like BaseTen, FAL .... Step 2: set billing limits per user if needed.
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Bryan Beal 🎧 (@bryanrbeal) reportedPro tip - disable Eero’s DNS and use Google or Cloudflare DNS and 99% of Eeros problems disappear Eero DNS is trash
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Mert Deveci (@gm_mertd) reportedSTOP INSTALLING 55 SKILLS TO USE A SINGLE API. @firecrawl @Cloudflare If it is more than 3 skills agent needs to f... use you, your platform is already too complex and the agent won't be able to use it. Simply put it into the CLI where it can output instructions on doing --help or --best-practices Can't believe the amount of dark patterns emerging here. @vercel is guilty of the same thing
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Tang Vu (@tangvu_dev) reportedI compared Cloudflare Workers and Vercel Edge Functions, two production platforms built on V8 isolates, using a latency-sensitive crypto analytics service. The workload fetched prices and computed OHLC + VWAP over 24 kline periods.
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Hanif Carroll (@HanifCarroll) reportedAt a previous job, I was lucky to work with a staff-level front-end engineer who was very good at what he did and thorough like no one else I had worked with. I didn’t always appreciate that thoroughness. At first, I found it maddening. Meetings with product and design would drag on because he always had an enormous list of questions about whatever feature we were discussing. I was usually eager to finish the meeting and start coding. It took me a while to understand that he wasn’t making the process longer. He was asking the questions we would otherwise have to answer halfway through development, when an unanswered question could block the feature or send it in the wrong direction. Every unanswered question holds an assumption, and that assumption might not match what product or design had in mind. I thought about him recently while reviewing the search process for Casamo, a product I’m building to help people compare furnished stays. Before changing the code, I started asking questions: Why were we processing listings already known to be over the user’s budget? Why were hotel-like properties entering the process when the user had asked for an entire place? Why did we stop after finding six suitable stays if ten were available? How old could a review be before it stopped being useful evidence? Those questions exposed decisions that had been made when Casamo ran on a low-powered VPS and needed to do as little work as possible. They didn’t all make sense now that the product runs on Cloudflare. We changed the search process to reject known mismatches earlier, treat six results as the minimum rather than the target, continue until it finds ten suitable stays, and only use reviews from the previous year as evidence. If I had started coding immediately, I probably would have made the existing process faster without questioning whether it was still the right process. I don’t know if I’ll ever have as many questions as he did, but now I understand what he was protecting us from.
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Hatem Hosny (@hatem_hosny_) reported@acolombiadev @Cloudflare @livecodes_io the client-side code playground that can be embedded and self-hosted is free for unlimited usage! 90+ languages/frameworks Mobile support Private by default Open-source
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Kevin Minnelli (@minnelli) reportedWTF - Grok Bot can't fire on schedule to save it's life. The scheduled routines are just broken and at best unreliable. I want to love this product. When you set the cron job it doesn't work. It tells you try Cloudflare, sure let's set that up and burn tokens, then that doesn't fire to wake them. Oh, let's try GitHub now and use that....all failed. I had to wake it again this morning before the market opened. Anyone else feeling frustration in this regard?
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Deyder Cintron (@deydercintron) reported@levelsio @Cloudflare Full API surface that lets you register and manage without handoffs is the real unlock. Anything that forces a browser click or support ticket re-introduces the bottleneck.
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Chris Locke (@chrisjlocke) reported@SportingNest @DaveLukewski @Cloudflare No it didn't. Just posting engagement bait crap.
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Patrick Ryall (@PadraigOraghail) reportedThe learning is never ending. Mostly it is platforms, in this case using Cloudflare as the auth gate. I had never used cloudflare for more than DNS. Now I have three sites running on it, for free, which is mad. Workers, Zero Trust, DNS, connected to ***. It's all rather slick.
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shownotover (@shownotover) reported@edtadros Well seems like I need to give it a try. Not gonna lie, I never thought two people would tell me to use Cloudflare.
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lasan (@las_nish) reportedComparisons of Free Trial Abuse Prevention Services If you're running a SaaS with a free trial or focusing on PLG, authentication and abuse prevention are not the same problem. - WorkOS: If you're already using WorkOS, WorkOS Radar is probably the first thing I'd look at. For a WorkOS stack, WorkOS AuthKit + Radar makes the most sense. You don't need to bolt another authentication system onto your app just to get abuse signals. - Auth0, Supabase Auth, Better Auth: These are primarily identity/authentication platforms. Integrating only these can't prevent free trial abuse. - Custom: Like the previous options, you need a custom way to prevent free trial abuse. Most free trial abuse methods involve disposable emails, Google dot variations, Google/Gmail domain variations, and plus addressing. That's why even when you block bots via Cloudflare Turnstile or CAPTCHA, you can still get these abusers. The industry standards: - Block free trial abuse using lists hosted on GitHub: This is a pain in the ***. If you don't want to pay money, you can use a service that offers a generous free tier. - WorkOS Radar: This is mainly used at the enterprise level. They focus more on WorkOS-related integrations rather than integrations with other providers. - ZeroBounce, NeverBounce, MillionVerifier, DeBounce: These are mainly used to clean/validate emails. There are 100s of alternatives, and most are similar with minor differences. They all have disposable email checking APIs. - UserCheck: This is also an email validation API, but they focus on blocking fake email addresses. It's better than a basic email verification API. - Autheona: This is in the same category as WorkOS Radar and UserCheck, but with more features. It also focuses on fake user detection and is growing with a real user base. Now, pricing: - WorkOS Radar: First 1,000 checks free, then $100 per 50 checks. No application-specific logic changes. Easy to integrate and manage. - ZeroBounce: 100 free validations in the free tier, then pay-as-you-go, starting at 2,000 for $39, and so on. - NeverBounce: No free trial or use case, $8 per 1,000 checks. - UserCheck: 1,000 API requests per month in the free plan. The rule-based engine is not included in the free plan, and you can get up to 1 request per second. - Autheona: 3,000 checks per month, with the rule-based policy engine included. Standard API request rate limitations apply, similar to paid plans. Now, use cases: - WorkOS Radar: Block disposable emails, plus addressing, and Google dot variations. - ZeroBounce, NeverBounce, etc.: Block disposable emails. - UserCheck: Block disposable emails, plus addressing, and Google dot variations; detect public emails; email suggestions; syntax validation; role detection. - Autheona: Everything included in UserCheck, plus business/free/government email identification, deliverability checks, fraud patterns, punycode and mixed-script checks, VPN detection, and bot detection (not necessary if you already use CAPTCHA, Cloudflare, etc.). Final decision from me: - Use WorkOS Radar if you're already in the WorkOS ecosystem. It's harder to integrate with other auth providers. - Use ZeroBounce-like APIs if you need basic disposable email checks. They're not as good if you need a better free tier. - Use UserCheck if you only need email-related validation and want to stay within the free plan. - Use Autheona if you need the most generous free tier available with a custom policy engine. All services take a maximum of a few hours to integrate and test. Both UserCheck and Autheona have a similar approach: integrate once and never touch the code again.
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Brendan Ryan (@BrendanRyanM) reported@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
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jc (@jc1337asd) reportedMy project on @Cloudflare keeps going down because of free tier limits. I want to upgrade to a paid plan but there seems to be no way to limit spending. A plan that costs from $5 to infinity is not really a good plan :(
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Elijah Trillionz (@ElijahTrillionz) reportedThere is currently no cards or payment methods that is working for Cloudflare. @Cloudflare @CloudflareDev @CloudflareHelp And no way of getting help. This is bad
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Daniel Zahoor (@DanielZahoor) reportedSet your router DNS to 1.1.1.2 and 1.0.0.2 to block malicious sites across your Wi-Fi. These free Cloudflare addresses silently block scams and phishing on every device. You get network-wide protection with zero software to install or manage.
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Stuti (@stutireal) reportedtired: dog ate my homework wired: cloudflare was down inspired: three consecutive ai civilizations rose and fell inside my macbook during a forced restart. My notes app and chrome tabs did not survive the third regime
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2$p00ky (@dos2p00ky) reportedNo ******* way that’s really you messaging in that chat…but then I accidentally clicked the button, the chatbot responded, I sent an emoji; then you sent a name and email template & then suddenly OF was also trying to track along with ur site through cloudflare 💀 What a ******* webhook to stay connected to every chat someone has open from ur webpage authenticated by the network cert…holy **** 🥵 for that setup
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Nuvorlane (@nuvorlane) reportedFrom today, a Workers Free D1 account that crosses 5 million rows read or 100,000 rows written gets errors until 00:00 UTC. Binding API and REST both stop. Stored data stays. Cloudflare emails you when you hit the wall. The read string is: Your account has exceeded D1's free tier daily row read limit. Upgrade to a paid plan or wait until tomorrow (midnight UTC) to continue. Writes get the matching write-limit string. SELECT * FROM users on a 5,000-row table costs 5,000 rows read even if you keep ten. Filter on an unindexed column and D1 still scans to pick the subset. Check meta.rows_read on the query, add indexes, or move to Workers Paid (25 billion reads / 50 million writes included per month).